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A Study on Intelligent Optical Bone Densitometry IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2024-03-21 Takhellambam Gautam Meitei, Wei-Chun Chang, Pou-Leng Cheong, Yi-Min Wang, Chia-Wei Sun
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CHIVID: A Rapid Deployment of Community and Home Isolation During COVID-19 Pandemics IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2024-03-13 Parpada Piamjinda, Chiraphat Boonnag, Piyalitt Ittichaiwong, Seandee Rattanasonrerk, Kanyakorn Veerakanjana, Khanita Duangchaemkarn, Warissara Limpornchitwilai, Kamonwan Thanontip, Napasara Asawalertsak, Thitikorn Kaewlee, Theerawit Wilaiprasitporn
Background: CHIVID is a telemedicine solution developed under tight time constraints that assists Thai healthcare practitioners in monitoring non-severe COVID-19 patients in isolation programs during crises. It assesses patient health and notifies healthcare practitioners of high-risk scenarios through a chatbot. The system was designed to integrate with the famous Thai messaging app LINE, reducing
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Improving Dysarthric Speech Segmentation With Emulated and Synthetic Augmentation IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2024-03-11 Saeid Alavi Naeini, Leif Simmatis, Deniz Jafari, Yana Yunusova, Babak Taati
Acoustic features extracted from speech can help with the diagnosis of neurological diseases and monitoring of symptoms over time. Temporal segmentation of audio signals into individual words is an important pre-processing step needed prior to extracting acoustic features. Machine learning techniques could be used to automate speech segmentation via automatic speech recognition (ASR) and sequence to
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Acoustic and Text Features Analysis for Adult ADHD Screening: A Data-Driven Approach Utilizing DIVA Interview IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2024-02-26 Shuanglin Li, Rajesh Nair, Syed Mohsen Naqvi
Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder commonly seen in childhood that leads to behavioural changes in social development and communication patterns, often continues into undiagnosed adulthood due to a global shortage of psychiatrists, resulting in delayed diagnoses with lasting consequences on individual’s well-being and the societal impact. Recently, machine
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A Wavelet-Based Approach for Motion Artifact Reduction in Ambulatory Seismocardiography IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2024-02-20 James Skoric, Yannick D’Mello, David V. Plant
Wearable sensing has become a vital approach to cardiac health monitoring, and seismocardiography (SCG) is emerging as a promising technology in this field. However, the applicability of SCG is hindered by motion artifacts, including those encountered in practice of which the strongest source is walking. This holds back the translation of SCG to clinical settings. We therefore investigated techniques
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Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2024-02-19 Satya P. Singh, Sukrit Gupta, Jagath C. Rajapakse
Brain state classification by applying deep learning techniques on neuroimaging data has become a recent topic of research. However, unlike domains where the data is low dimensional or there are large number of available training samples, neuroimaging data is high dimensional and has few training samples. To tackle these issues, we present a sparse feedforward deep neural architecture for encoding
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Optical Imaging Demonstrates Tissue-Specific Metabolic Perturbations in Mblac1 Knockout Mice IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2024-02-15 Busenur Ceyhan, Parisa Nategh, Mehrnoosh Neghabi, Jacob A. LaMar, Shalaka Konjalwar, Peter Rodriguez, Maureen K. Hahn, Matthew Gross, Gregory Grumbar, Kenneth J. Salleng, Randy D. Blakely, Mahsa Ranji
Objective: Metabolic changes have been extensively documented in neurodegenerative brain disorders, including Parkinson’s disease and Alzheimer’s disease (AD). Mutations in the C. elegans swip-10 gene result in dopamine (DA) dependent motor dysfunction accompanied by DA neuron degeneration. Recently, the putative human ortholog of swip-10 (MBLAC1) was implicated as a risk factor in AD, a disorder that
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Compliant Intramedullary Stems for Joint Reconstruction IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2024-02-12 John A. Mccullough, Brandon T. Peterson, Alexander M. Upfill-Brown, Thomas J. Hardin, Jonathan B. Hopkins, Nelson F. Soohoo, Tyler R. Clites
The longevity of current joint replacements is limited by aseptic loosening, which is the primary cause of non-infectious failure for hip, knee, and ankle arthroplasty. Aseptic loosening is typically caused either by osteolysis from particulate wear, or by high shear stresses at the bone-implant interface from over-constraint. Our objective was to demonstrate feasibility of a compliant intramedullary
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Design and In Vitro Validation of an Orthopaedic Drill Guide for Femoral Stem Revision in Total Hip Arthroplasty IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2024-02-12 Jan-Willem Klok, Jessica Groenewegen, Olivier Temmerman, Niels Van Straten, Bart Van Straten, Jenny Dankelman, Tim Horeman
Objective: Cemented total hip arthroplasty (THA) demonstrates superior survival rates compared to uncemented procedures. Nevertheless, most younger patients opt for uncemented THA, as removing well-fixed bone cement in the femur during revisions is complex, particularly the distal cement plug. This removal procedure often increases the risk of femoral fracture or perforation, haemorrhage and weakening
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Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2024-01-31 Maksym A. Jopek, Krzysztof Pastuszak, Sebastian Cygert, Myron G. Best, Thomas Wurdinger, Jacek Jassem, Anna J. Żaczek, Anna Supernat
The field of cancer diagnostics has been revolutionized by liquid biopsies, which offer a bridge between laboratory research and clinical settings. These tests are less invasive than traditional biopsies and more convenient than routine imaging methods. Liquid biopsies allow studying of tumor-derived markers in bodily fluids, enabling the development of more precise cancer diagnostic tests for screening
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Executive Functions Assessment Based on Wireless EEG and 3D Gait Analysis During Dual-Task: A Feasibility Study IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2024-01-22 Pasquale Arpaia, Renato Cuocolo, Allegra Fullin, Ludovica Gargiulo, Francesca Mancino, Nicola Moccaldi, Ersilia Vallefuoco, Paolo De Blasiis
Executive functions (EFs) are neurocognitive processes planning and regulating daily life actions. Performance of two simultaneous tasks, requiring the same cognitive resources, lead to a cognitive fatigue. Several studies investigated cognitive-motor task and the interference during walking, highlighting an increasing risk of falls especially in elderly and people with neurological diseases. A few
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NeuroDiag: Software for Automated Diagnosis of Parkinson’s Disease Using Handwriting IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2024-01-18 Quoc Cuong Ngo, Nicole McConnell, Mohammod Abdul Motin, Barbara Polus, Arup Bhattacharya, Sanjay Raghav, Dinesh Kant Kumar
Objective: A change in handwriting is an early sign of Parkinson’s disease (PD). However, significant inter-person differences in handwriting make it difficult to identify pathological handwriting, especially in the early stages. This paper reports the testing of NeuroDiag, a software-based medical device, for the automated detection of PD using handwriting patterns. NeuroDiag is designed to direct
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Variation in the Photoplethysmogram Response to Arousal From Sleep Depending on the Cause of Arousal and the Presence of Desaturation IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2024-01-04 Mieli Luukinen, Henna Pitkänen, Timo Leppänen, Juha Töyräs, Anna Sigridur Islind, Samu Kainulainen, Henri Korkalainen
Objective: The aim of this study was to assess how the photoplethysmogram frequency and amplitude responses to arousals from sleep differ between arousals caused by apneas and hypopneas with and without blood oxygen desaturations, and spontaneous arousals. Stronger arousal causes were hypothesized to lead to larger and faster responses. Methods and procedures: Photoplethysmogram signal segments during
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Contrastive Transfer Learning for Prediction of Adverse Events in Hospitalized Patients IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-12-18 Hojjat Salehinejad, Anne M. Meehan, Pedro J. Caraballo, Bijan J. Borah
Objective: Deterioration index (DI) is a computer-generated score at a specific frequency that represents the overall condition of hospitalized patients using a variety of clinical, laboratory and physiologic data. In this paper, a contrastive transfer learning method is proposed and validated for early prediction of adverse events in hospitalized patients using DI scores. Methods and procedures: An
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Multitask and Transfer Learning Approach for Joint Classification and Severity Estimation of Dysphonia IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-12-07 Dosti Aziz, Sztahó Dávid
Objective: Despite speech being the primary communication medium, it carries valuable information about a speaker’s health, emotions, and identity. Various conditions can affect the vocal organs, leading to speech difficulties. Extensive research has been conducted by voice clinicians and academia in speech analysis. Previous approaches primarily focused on one particular task, such as differentiating
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A Wearable Fluorescence Imaging Device for Intraoperative Identification of Human Brain Tumors IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-12-01 Mehrana Mohtasebi, Chong Huang, Mingjun Zhao, Siavash Mazdeyasna, Xuhui Liu, Samaneh Rabienia Haratbar, Faraneh Fathi, Jinghong Sun, Thomas Pittman, Guoqiang Yu
Malignant glioma (MG) is the most common type of primary malignant brain tumors. Surgical resection of MG remains the cornerstone of therapy and the extent of resection correlates with patient survival. A limiting factor for resection, however, is the difficulty in differentiating the tumor from normal tissue during surgery. Fluorescence imaging is an emerging technique for real-time intraoperative
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Treatment of Nocturnal Enuresis Using Miniaturised Smart Mechatronics With Artificial Intelligence IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-11-27 Kaya Kuru, Darren Ansell, Dave Hughes, Benjamin Jon Watkinson, Fabrizio Gaudenzi, Martin Jones, David Lunardi, Noreen Caswell, Adela Rabella Montiel, Peter Leather, Daniel Irving, Kina Bennett, Corrin McKenzie, Paula Sugden, Carl Davies, Christian Degoede
Our study was designed to develop a customisable, wearable, and comfortable medical device – the text so-called “MyPAD” that monitors the fullness of the bladder, triggering an alarm indicating the need to void, in order to prevent badwetting – i.e., treating Nocturnal Enuresis (NE) at the text pre-void stage using miniaturised mechatronics with Artificial Intelligence (AI). The developed features
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Mixed Reality and Artificial Intelligence: A Holistic Approach to Multimodal Visualization and Extended Interaction in Knee Osteotomy IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-11-21 Andrea Moglia, Luca Marsilio, Matteo Rossi, Maria Pinelli, Emanuele Lettieri, Luca Mainardi, Alfonso Manzotti, Pietro Cerveri
Objective: Recent advancements in augmented reality led to planning and navigation systems for orthopedic surgery. However little is known about mixed reality (MR) in orthopedics. Furthermore, artificial intelligence (AI) has the potential to boost the capabilities of MR by enabling automation and personalization. The purpose of this work is to assess Holoknee prototype, based on AI and MR for multimodal
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Inertial Measurement Unit-Based Romberg Test for Assessing Adults With Vestibular Hypofunction IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-11-17 Kuan-Chung Ting, Yu-Chieh Lin, Chia-Tai Chan, Tzong-Yang Tu, Chun-Che Shih, Kai-Chun Liu, Yu Tsao
This work aims to explore the utility of wearable inertial measurement units (IMUs) for quantifying movement in Romberg tests and investigate the extent of movement in adults with vestibular hypofunction (VH). A cross-sectional study was conducted at an academic tertiary medical center between March 2021 and April 2022. Adults diagnosed with unilateral vestibular hypofunction (UVH) or bilateral vestibular
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A Novel Navigation Device for Precise Percutaneous Placement of the Guidewire in Femoral Neck Fracture Cannulated Screw Fixation Surgery IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-11-16 Yutao Cui, Guangkai Ren, Chuangang Peng, Baoming Yuan, Dankai Wu
The accuracy of screw placement is a key factor for the stability of the cannulated screws used in the fixation of femoral neck fractures. In this study we designed a navigation device for ensuring the screw reaches the ideal position for optimal fixation. From March 2019 to September 2020, 66 patients with femoral neck fracture were enrolled and divided into 2 groups, one group was treated using the
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Applying Machine Learning and Point-Set Registration to Automatically Measure the Severity of Spinal Curvature on Radiographs IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-11-14 Jason Wong, Marek Reformat, Edmond Lou
Objective: Measuring the severity of the lateral spinal curvature, or Cobb angle, is critical for monitoring and making treatment decisions for children with adolescent idiopathic scoliosis (AIS). However, manual measurement is time-consuming and subject to human error. Therefore, clinicians seek an automated measurement method to streamline workflow and improve accuracy. This paper reports on a novel
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Registration Sanity Check for AR-guided Surgical Interventions: Experience From Head and Face Surgery IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-11-13 Sara Condino, Fabrizio Cutolo, Marina Carbone, Laura Cercenelli, Giovanni Badiali, Nicola Montemurro, Vincenzo Ferrari
Achieving and maintaining proper image registration accuracy is an open challenge of image-guided surgery. This work explores and assesses the efficacy of a registration sanity check method for augmented reality-guided navigation (AR-RSC), based on the visual inspection of virtual 3D models of landmarks. We analyze the AR-RSC sensitivity and specificity by recruiting 36 subjects to assess the registration
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Letter to the Editor: “How Can Biomedical Engineers Help Empower Individuals With Intellectual Disabilities? The Potential Benefits and Challenges of AI Technologies to Support Inclusivity and Transform Lives” IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-11-09 Alessandro Di Nuovo
The rapid advancement of Artificial Intelligence (AI) is transforming healthcare and daily life, offering great opportunities but also posing ethical and societal challenges. To ensure AI benefits all individuals, including those with intellectual disabilities, the focus should be on adaptive technology that can adapt to the unique needs of the user. Biomedical engineers have an interdisciplinary background
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Automated, Vision-Based Goniometry and Range of Motion Calculation in Individuals With Suspected Ehlers-Danlos Syndromes/Generalized Hypermobility Spectrum Disorders: A Comparison of Pose-Estimation Libraries to Goniometric Measurements IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-11-06 Andrea Sabo, Nimish Mittal, Amol Deshpande, Hance Clarke, Babak Taati
Generalized joint hypermobility (GJH) often leads clinicians to suspect a diagnosis of Ehlers Danlos Syndrome (EDS), but it can be difficult to objectively assess. Video-based goniometry has been proposed to objectively estimate joint range of motion in hyperextended joints. As part of an exam of joint hypermobility at a specialized EDS clinic, a mobile phone was used to record short videos of 97 adults
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Wearable Accelerometer and Gyroscope Sensors for Estimating the Severity of Essential Tremor IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-11-01 Sheik Mohammed Ali, Sridhar Poosapadi Arjunan, James Peter, Laura Perju-Dumbrava, Catherine Ding, Michael Eller, Sanjay Raghav, Peter Kempster, Mohammod Abdul Motin, P. J. Radcliffe, Dinesh Kant Kumar
Background: Several validated clinical scales measure the severity of essential tremor (ET). Their assessments are subjective and can depend on familiarity and training with scoring systems. Method: We propose a multi-modal sensing using a wearable inertial measurement unit for estimating scores on the Fahn-Tolosa-Marin tremor rating scale (FTM) and determine the classification accuracy within the
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TTN: Topological Transformer Network for Automated Coronary Artery Branch Labeling in Cardiac CT Angiography IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-11-01 Yuyang Zhang, Gongning Luo, Wei Wang, Shaodong Cao, Suyu Dong, Daren Yu, Xiaoyun Wang, Kuanquan Wang
Objective: Existing methods for automated coronary artery branch labeling in cardiac CT angiography face two limitations: 1) inability to model overall correlation of branches, since differences between branches cannot be captured directly. 2) a serious class imbalance between main and side branches. Methods and procedures: Inspired by the application of Transformer in sequence data, we propose a topological
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An Interpretable Neonatal Lung Ultrasound Feature Extraction and Lung Sliding Detection System Using Object Detectors IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-10-25 Rodina Bassiouny, Adel Mohamed, Karthi Umapathy, Naimul Khan
The objective of this study was to develop an interpretable system that could detect specific lung features in neonates. A challenging aspect of this work was that normal lungs showed the same visual features (as that of Pneumothorax (PTX)). M-mode is typically necessary to differentiate between the two cases, but its generation in clinics is time-consuming and requires expertise for interpretation
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Comparative Assessment of Physiological Responses to Emotional Elicitation by Auditory and Visual Stimuli IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-10-12 Edoardo M. Polo, Andrea Farabbi, Maximiliano Mollura, Alessia Paglialonga, Luca Mainardi, Riccardo Barbieri
The study of emotions through the analysis of the induced physiological responses gained increasing interest in the past decades. Emotion-related studies usually employ films or video clips, but these stimuli do not give the possibility to properly separate and assess the emotional content provided by sight or hearing in terms of physiological responses. In this study we have devised an experimental
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Overground Walking With a Transparent Exoskeleton Shows Changes in Spatiotemporal Gait Parameters IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-10-10 Rafhael M. Andrade, Stefano Sapienza, Abolfazl Mohebbi, Eric E. Fabara, Paolo Bonato
Lower-limb gait training (GT) exoskeletons have been successfully used in rehabilitation programs to overcome the burden of locomotor impairment. However, providing suitable net interaction torques to assist patient movements is still a challenge. Previous transparent operation approaches have been tested in treadmill-based GT exoskeletons to improve user-robot interaction. However, it is not yet clear
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Enhancing Force Control of Prosthetic Controller for Hand Prosthesis by Mimicking Biological Properties IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-09-29 Qi Luo, Minglei Bai, Shuhan Chen, Kai Gao, Lairong Yin, Ronghua Du
Prosthetic hands are frequently rejected due to frustrations in daily uses. By adopting principles of human neuromuscular control, it could potentially achieve human-like compliance in hand functions, thereby improving functionality in prosthetic hand. Previous studies have confirmed the feasibility of real-time emulation of neuromuscular reflex for prosthetic control. This study further to explore
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A Robust Gaze Estimation Approach via Exploring Relevant Electrooculogram Features and Optimal Electrodes Placements IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-09-29 Zheng Zeng, Linkai Tao, Hangyu Zhu, Yunfeng Zhu, Long Meng, Jiahao Fan, Chen Chen, Wei Chen
Gaze estimation, as a technique that reflects individual attention, can be used for disability assistance and assisting physicians in diagnosing diseases such as autism spectrum disorder (ASD), Parkinson’s disease, and attention deficit hyperactivity disorder (ADHD). Various techniques have been proposed for gaze estimation and achieved high resolution. Among these approaches, electrooculography (EOG)-based
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Fractal Spiking Neural Network Scheme for EEG-Based Emotion Recognition IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-09-28 Wei Li, Cheng Fang, Zhihao Zhu, Chuyi Chen, Aiguo Song
Electroencephalogram (EEG)-based emotion recognition is of great significance for aiding in clinical diagnosis, treatment, nursing and rehabilitation. Current research on this issue mainly focuses on utilizing various network architectures with different types of neurons to exploit the temporal, spectral, or spatial information from EEG for classification. However, most studies fail to take full advantage
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A Low-Cost Instrumented Shoe System for Gait Phase Detection Based on Foot Plantar Pressure Data IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-09-26 Xinyao Hu, Qingsong Duan, Junpeng Tang, Gengshu Chen, Zhong Zhao, Zhenglong Sun, Chao Chen, Xingda Qu
This paper presents a novel low-cost and fully-portable instrumented shoe system for gait phase detection. The instrumented shoe consists of 174 independent sensing units constructed based on an off-the-shelf force-sensitive film known as the Velostat conductive copolymer. A zero potential method was implemented to address the crosstalk effect among the matrix-formed sensing arrays. A customized algorithm
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Non-Contact Measurement of Blood Oxygen Saturation Using Facial Video Without Reference Values IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-09-25 Soma Sasaki, Norihiro Sugita, Takanori Terai, Makoto Yoshizawa
The continuous measurement of percutaneous oxygen saturation (SpO2) enables diseases that cause hypoxemia to be detected early and patients’ conditions to be monitored. Currently, SpO2 is mainly measured using a pulse oximeter, which, owing to its simplicity, can be used in clinical settings and at home. However, the pulse oximeter requires a sensor to be in contact with the skin; therefore, prolonged
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Effects of Home-Based Computerized Cognitive Training in Community-Dwelling Adults With Mild Cognitive Impairment IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-09-19 Ji Soo Baik, Ji Hong Min, Sung-Hwa Ko, Mi Sook Yun, Byunghoon Lee, Nae Yoon Kang, Byeongil Kim, Hyunsuk Lee, Yong-Il Shin
Objective: There is a growing importance for the home-based (HB) support services, and computerized cognitive training (CCT) has been reported as an effective intervention for cognitive impairment. However, there is still a need for further verification of the effect of HB-CCT. This study aimed to determine the effectiveness of HB-CCT on the cognitive function of community-dwelling adults with mild
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A Monocular Variable Magnifications 3D Laparoscope System Using Double Liquid Lenses IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-09-01 Fan Mao, Tianqi Huang, Longfei Ma, Xinran Zhang, Hongen Liao
During minimal invasive surgery (MIS), the laparoscope only provides a single viewpoint to the surgeon, leaving a lack of 3D perception. Many works have been proposed to obtain depth and 3D reconstruction by designing a new optical structure or by depending on the camera pose and image sequences. Most of these works modify the structure of the conventional laparoscopes and cannot provide 3D reconstruction
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An Epileptic EEG Detection Method Based on Data Augmentation and Lightweight Neural Network IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-08-24 Chenlong Wang, Lei Liu, Wenhai Zhuo, Yun Xie
Objective: Epilepsy, an enduring neurological disorder, afflicts approximately 65 million individuals globally, significantly impacting their physical and mental wellbeing. Traditional epilepsy detection methods are labor-intensive, leading to inefficiencies. Although deep learning techniques for brain signal detection have gained traction in recent years, their clinical application advancement is
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Self-Supervised Learning-Based General Laboratory Progress Pretrained Model for Cardiovascular Event Detection IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-08-23 Li-Chin Chen, Kuo-Hsuan Hung, Yi-Ju Tseng, Hsin-Yao Wang, Tse-Min Lu, Wei-Chieh Huang, Yu Tsao
Objective: Leveraging patient data through machine learning techniques in disease care offers a multitude of substantial benefits. Nonetheless, the inherent nature of patient data poses several challenges. Prevalent cases amass substantial longitudinal data owing to their patient volume and consistent follow-ups, however, longitudinal laboratory data are renowned for their irregularity, temporality
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A Comparison of Approaches for Segmenting the Reaching and Targeting Motion Primitives in Functional Upper Extremity Reaching Tasks IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-08-04 Kyle L. Jackson, Zoran Durić, Susannah M. Engdahl, Anthony C. Santago, Siddhartha Sikdar, Lynn H. Gerber
There is growing interest in the kinematic analysis of human functional upper extremity movement (FUEM) for applications such as health monitoring and rehabilitation. Deconstructing functional movements into activities, actions, and primitives is a necessary procedure for many of these kinematic analyses. Advances in machine learning have led to progress in human activity and action recognition. However
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Elastic Deformation of Optical Coherence Tomography Images of Diabetic Macular Edema for Deep-Learning Models Training: How Far to Go? IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-07-24 Daniel Bar-David, Laura Bar-David, Yinon Shapira, Rina Leibu, Dalia Dori, Aseel Gebara, Ronit Schneor, Anath Fischer, Shiri Soudry
– Objective: To explore the clinical validity of elastic deformation of optical coherence tomography (OCT) images for data augmentation in the development of deep-learning model for detection of diabetic macular edema (DME). Methods: Prospective evaluation of OCT images of DME (n = 320) subject to elastic transformation, with the deformation intensity represented by ( $\sigma$ ). Three sets of images
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Breathing-Associated Facial Region Segmentation for Thermal Camera-Based Indirect Breathing Monitoring IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-07-17 Junhwan Kwon, Oyun Kwon, Kyeong Taek Oh, Jeongmin Kim, Sun K. Yoo
Breathing can be measured in a non-contact method using a thermal camera. The objective of this study investigates non-contact breathing measurements using thermal cameras, which have previously been limited to measuring the nostril only from the front where it is clearly visible. The previous method is challenging to use for other angles and frontal views, where the nostril is not well-represented
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Development of an Evaluation System for Transfer Care Skills Using Embroidered Body Pressure and Proximity Sensor IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-07-10 Hirofumi Kurosaki, Hiromu Shirahata, Junya Kawahara, Yasuhito Kondo, Ken Kondo, Bumsuk Lee, Masato Odagaki
Objective: It is important to improve caregiving skills to help reduce the strain on inexperienced caregivers. Previous studies on quantifying caregiving skills have predominantly relied on expensive equipment, such as motion-capture systems with multiple infrared cameras or acceleration sensors. To overcome the cost and space limitations of existing systems, we developed a simple evaluation system
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Design and Evaluation of a Balanced Compliant Laparoscopic Grasper IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-07-03 Jan-Willem Klok, Roelf Postema, Asþor T. Steinþorsson, Jenny Dankelman, Tim Horeman
In laparoscopic surgery, quality of haptic feedback is reduced compared to conventional surgery, leading to unintentional tissue damage during grasping. From the perspective of haptics, poor mechanical design of laparoscopic instrument joints induces friction and a nonlinear actuation-tip force relation. In this study, a novel laparoscopic grasper using compliant joints and a magnetic balancer is presented
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Simultaneous Control of Venous Reservoir Level and Arterial Flow Rate in Cardiopulmonary Bypass With a Centrifugal Pump IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-06-30 Hidenobu Takahashi, Takuya Kinoshita, Zu Soh, Shigeyuki Okahara, Satoshi Miyamoto, Shinji Ninomiya, Toshio Tsuji
Cardiopulmonary bypass (CPB) is an indispensable technique in cardiac surgery, providing the ability to temporarily replace cardiopulmonary function and create a bloodless surgical field. Traditionally, the operation of CPB systems has depended on the expertise and experience of skilled perfusionists. In particular, simultaneously controlling the arterial and venous occluders is difficult because the
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TransU²-Net: An Effective Medical Image Segmentation Framework Based on Transformer and U²-Net IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-06-27 Xiang Li, Xianjin Fang, Gaoming Yang, Shuzhi Su, Li Zhu, Zekuan Yu
Background: In the past few years, U-Net based U-shaped architecture and skip-connections have made incredible progress in the field of medical image segmentation. U 2 -Net achieves good performance in computer vision. However, in the medical image segmentation task, U 2 -Net with over nesting is easy to overfit. Purpose: A 2D network structure TransU 2 -Net combining transformer and a lighter weight
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An Epileptic Seizure Prediction Method Based on CBAM-3D CNN-LSTM Model IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-06-27 Xiang Lu, Anhao Wen, Lei Sun, Hao Wang, Yinjing Guo, Yande Ren
Epilepsy as a common disease of the nervous system, with high incidence, sudden and recurrent characteristics. Therefore, timely prediction of seizures and intervention treatment can significantly reduce the accidental injury of patients and protect the life and health of patients. Epilepsy seizures is the result of temporal and spatial evolution, Existing deep learning methods often ignore its spatial
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Multiple Field-of-View Based Attention Driven Network for Weakly Supervised Common Bile Duct Stone Detection IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-06-15 Ya-Han Chang, Meng-Ying Lin, Ming-Tsung Hsieh, Ming-Ching Ou, Chun-Rong Huang, Bor-Shyang Sheu
Objective: Common bile duct (CBD) stones caused diseases are life-threatening. Because CBD stones locate in the distal part of the CBD and have relatively small sizes, detecting CBD stones from CT scans is a challenging issue in the medical domain. Methods and procedures: We propose a deep learning based weakly-supervised method called multiple field-of-view based attention driven network (MFADNet)
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A Graph Convolutional Network Based on Univariate Neurodegeneration Biomarker for Alzheimer’s Disease Diagnosis IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-06-13 Zongshuai Qu, Tao Yao, Xinghui Liu, Gang Wang
Objective: Alzheimer’s disease (AD) is a progressive and irreversible neurodegenerative disease that is not easily detectable in the early stage. This study proposed an efficient method of applying a graph convolutional network (GCN) on the early prediction of AD. Methods: We proposed a univariate neurodegeneration biomarker (UNB) based GCN semi-supervised classification framework. We generated UNB
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Sparse Independence Component Analysis for Competitive Endogenous RNA Co-Module Identification in Liver Hepatocellular Carcinoma IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-06-07 Yuhu Shi, Lili Zhou, Weiming Zeng, Boyang Wei, Jin Deng
Objective: Long non-coding RNAs (lncRNAs) have been shown to be associated with the pathogenesis of different kinds of diseases and play important roles in various biological processes. Although numerous lncRNAs have been found, the functions of most lncRNAs and physiological/pathological significance are still in its infancy. Meanwhile, their expression patterns and regulation mechanisms are also
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Parameter-Free Matrix Decomposition for Specular Reflections Removal in Endoscopic Images IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-06-06 Jithin Joseph, Sudhish N. George, Kiran Raja
Objective: Endoscopy is a medical diagnostic procedure used to see inside the human body with the help of a camera-attached system called the endoscope. Endoscopic images and videos suffer from specular reflections (or highlight) and can have an adverse impact on the diagnostic quality of images. These scattered white regions severely affect the visual appearance of images for both endoscopists and
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CNN-LSTM Model for Recognizing Video-Recorded Actions Performed in a Traditional Chinese Exercise IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-06-02 Jing Chen, Jiping Wang, Qun Yuan, Zhao Yang
Identifying human actions from video data is an important problem in the fields of intelligent rehabilitation assessment. Motion feature extraction and pattern recognition are the two key procedures to achieve such goals. Traditional action recognition models are usually based on the geometric features manually extracted from video frames, which are however difficult to adapt to complex scenarios and
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A Hybrid Convolutional Neural Network Model for Automatic Diabetic Retinopathy Classification From Fundus Images IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-06-01 Ghulam Ali, Aqsa Dastgir, Muhammad Waseem Iqbal, Muhammad Anwar, Muhammad Faheem
Objective: Diabetic Retinopathy (DR) is a retinal disease that can cause damage to blood vessels in the eye, that is the major cause of impaired vision or blindness, if not treated early. Manual detection of diabetic retinopathy is time-consuming and prone to human error due to the complex structure of the eye. Methods & Results: various automatic techniques have been proposed to detect diabetic retinopathy
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Complex Brain–Heart Mapping in Mental and Physical Stress IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-05-29 Vincenzo Catrambone, Gaetano Valenza
Objective: The central and autonomic nervous systems are deemed complex dynamic systems, wherein each system as a whole shows features that the individual system sub-components do not. They also continuously interact to maintain body homeostasis and appropriate react to endogenous and exogenous stimuli. Such interactions are comprehensively referred to functional brain–heart interplay (BHI). Nevertheless
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Depth-Imaging for Gait Analysis on a Treadmill in Older Adults at Risk of Falling IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-05-19 Michel Hackbarth, Jessica Koschate, Sandra Lau, Tania Zieschang
Background: Accidental falls are a major health issue in older people. One significant and potentially modifiable risk factor is reduced gait stability. Clinicians do not have sophisticated kinematic options to measure this risk factor with simple and affordable systems. Depth-imaging with AI-pose estimation can be used for gait analysis in young healthy adults. However, is it applicable for measuring
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Predicting Visit Cost of Obstructive Sleep Apnea Using Electronic Healthcare Records With Transformer IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-05-17 Zhaoyang Chen, Lina Siltala-Li, Mikko Lassila, Pekka Malo, Eeva Vilkkumaa, Tarja Saaresranta, Arho Veli Virkki
Background: Obstructive sleep apnea (OSA) is growing increasingly prevalent in many countries as obesity rises. Sufficient, effective treatment of OSA entails high social and financial costs for healthcare. Objective: For treatment purposes, predicting OSA patients’ visit expenses for the coming year is crucial. Reliable estimates enable healthcare decision-makers to perform careful fiscal management
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An Engineering Platform for Clinical Application of Optogenetic Therapy in Retinal Degenerative Diseases IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-05-10 Boyuan Yan, Sheila Nirenberg
Optogenetics is a new approach for controlling neural circuits with numerous applications in both basic and clinical science. In retinal degenerative diseases, the photoreceptors die, but inner retinal cells remain largely intact. By expressing light sensitive proteins in the remaining cells, optogenetics has the potential to offer a novel approach to restoring vision. In the past several years, optogenetics
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Healthy Aging: A Deep Meta-Class Sequence Model to Integrate Intelligence in Digital Twin IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-05-08 Muhammad Fahim, Vishal Sharma, Ruth Hunter, Trung Q. Duong
Objective: The behavior monitoring of older adults in their own home and enabling daily-life activity analysis to healthcare practitioner is a key challenge. Methods and procedures: Our framework replicates the elderly home in digital space which can provide an unobtrusive way to monitor the resident&ahat;s daily life activities. The learning challenges posed by different performed activities at home
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Characterizing the Blood Pressure Response to Physical Counterpressure Manoeuvres Using Surface Electromyography in Adults With Long Covid IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-05-08 Eoin Duggan, Glenn Jennings, Ann Monaghan, Lisa Byrne, Feng Xue, Roman Romero-Ortuno
Orthostatic intolerance (OI) is common in Long Covid. Physical counterpressure manoeuvres (PCM) may improve OI in other disorders. We characterised the blood pressure-rising effect of PCM using surface electromyography (sEMG) and investigated its association with fatigue in adults with Long Covid. Participants performed an active stand with beat-to-beat hemodynamic monitoring and sEMG of both thighs
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Parkinson’s Disease Diagnosis With Gait Characteristics Extracted Using Wavelet Transforms IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-05-03 Dixon Vimalajeewa, Ethan McDonald, Megan Tung, Brani Vidakovic
Objective: Parkinson’s disease (PD) is a common neurodegenerative disorder among adult men and women. The analysis of abnormal gait patterns is among the most important techniques used in the early diagnosis of PD. The overall aim of this study is to identify PD patients using vertical ground reaction force (VGRF) data produced from subjects while walking at a normal pace. Methods and procedures: The
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Introduction to a Twin Dual-Axis Robotic Platform for Studies of Lower Limb Biomechanics IEEE J. Transl. Eng. Health Med. (IF 3.4) Pub Date : 2023-04-28 Joshua B. Russell, Connor M. Phillips, Matthew R. Auer, Vu Phan, Kwanghee Jo, Omik Save, Varun Nalam, Hyunglae Lee
This paper presents a twin dual-axis robotic platform system which is designed for the characterization of postural balance under various environmental conditions and quantification of bilateral ankle mechanics in 2 degrees-of-freedom (DOF) during standing and walking. Methods: Validation experiments were conducted to evaluate performance of the system: 1) to apply accurate position perturbations under