Articles

Wearable Device-Independent Next Day Activity and Next Night Sleep Prediction for Rehabilitation Populations
Wearable Device-Independent Next Day Activity and Next Night Sleep Prediction for Rehabilitation Populations IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Wearable sensor-based devices are increasingly applied in free-living and clinical settings to collect fine-grained, objective data about activity and sleep behavior. The manufacturers of these devices provide proprietary software that…

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Feasibility of using high-contrast grating as a point-of-care sensor for therapeutic drug monitoring of immunosuppressants
Feasibility of using high-contrast grating as a point-of-care sensor for therapeutic drug monitoring of immunosuppressants IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Abstract Point-of-care (POC) testing has demonstrated great transformative potential in personalized medicine. In particular, patients undergoing transplantation require POC testing to ensure appropriate serum immunosuppressant levels so as to maintain…

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A Multi-Task Group Bi-LSTM Networks Application on Electrocardiogram Classification
A Multi-Task Group Bi-LSTM Networks Application on Electrocardiogram Classification IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Background: Cardiovascular diseases (CVD) are the leading cause of death globally. Electrocardiogram (ECG) analysis can provide thoroughly assessment for different CVDs efficiently. We propose a multi-task group bidirectional long short-term…

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Radiomics based Bayesian Inversion Method for Prediction of Cancer and Pathological Stage
Author(s)3: Yiming Deng, Haroon Rasheed, Tariq Khan, Hina Shakir
Radiomics based Bayesian Inversion Method for Prediction of Cancer and Pathological Stage 396 353 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: To develop a Bayesian inversion framework on longitudinal chest CT scans which can perform efficient multi-class classification of lung cancer. Methods: While the unavailability of large number of training…

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Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening
Author(s)3: Sergey N. Makarov, Ara Nazarian, Gregory M. Noetscher, Ziming Zhang, Johnathan W. Adams
Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening 412 281 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: There is an unmet need for quick, physically small, and cost-effective office-based techniques that can measure bone properties without the use of ionizing radiation. Methods: The present study reports…

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Stress Analysis Based on Simultaneous Heart Rate Variability and EEG Monitoring
Author(s)3: Mehmet Kaya, Ersoy Subasi, Vignesh Balasubramanian, Eyad Talal Attar
Stress Analysis Based on Simultaneous Heart Rate Variability and EEG Monitoring 660 295 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: Stress is a significant risk factor for various diseases such as hypertension, heart attack, stroke, and even sudden death. Stress can also lead to psychological and behavioral disorders. Heart…

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Investigating the Stroke- and Aging-related Changes in Global and Instantaneous Intermuscular Coupling using Cross-fuzzy Entropy
Author(s)3: Rong Song, Tiebin Yan, Xiaoyun Wang, Huihua Liu, Wenbo Sun, Ying Chen, Na Tian
Investigating the Stroke- and Aging-related Changes in Global and Instantaneous Intermuscular Coupling using Cross-fuzzy Entropy 626 314 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Intermuscular coupling is essential in the coordination of agonist and antagonist muscles. However, its dynamic characteristics are not fully understood, especially the alterations of intermuscular coupling induced by stroke and…

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Feature Extraction and Identification of Alzheimer’s Disease based on Latent Factor of Multi-Channel EEG
Author(s)3: Lingyun Wu, Jing Liu, Lin Zhu, Haitao Yu, Shanshan Li, Jiang Wang, Kai Li
Feature Extraction and Identification of Alzheimer’s Disease based on Latent Factor of Multi-Channel EEG 433 380 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Alzheimer’s disease is a neurodegenerative disease in old age, early diagnosis will help to delay the progression of the disease. Presently, the features of brain functional diseases can be obtained…

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3D-Printed Ophthalmic Retrobulbar Anesthesia Simulator: Mimicking Anatomical Structures and Providing Tactile Sensations
Author(s)3: Jung Chan Lee, Baek Lok Oh, Yoon Ha Joo, Yong Je Choi
3D-Printed Ophthalmic Retrobulbar Anesthesia Simulator: Mimicking Anatomical Structures and Providing Tactile Sensations 241 546 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: A simulator for retrobulbar anesthesia administration mimicking the orbital anatomy and providing tactile sensation is proposed. Methods: The production process involves 3D modeling of anatomical structures on the basis…

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