Biomedical monitoring

Stable Responsive EMG Sequence Prediction and Adaptive Reinforcement with Temporal Convolutional Networks

Author(s): Joseph L. Betthauser, John T. Krall, Shain G. Bannowsky, Gyorgy Levay, Rahul R. Kaliki, Matthew S. Fifer, Nitish V. Thakor
Stable Responsive EMG Sequence Prediction and Adaptive Reinforcement with Temporal Convolutional Networks 170 177 IEEE Transactions on Biomedical Engineering (TBME)
Movement prediction from EMG can be performed by compressing a short window of EMG into a feature-encoding that is meaningful for classification— an approach that can cause erratic prediction behavior. Temporal convolutional networks (TCN) leverage temporal information from EMG to achieve superior predictions for 3 simultaneous degrees-of-freedom that are more accurate and stable, have a very low response delay, and allow for novel types of interactive training. Addressing EMG decoding as a sequential prediction problem requires a new set of considerations that will lead to enhancements in the reliability, responsiveness, and movement complexity available from prosthesis control systems. read more
Wearable Devices for Precision Medicine and Health State Monitoring

Wearable Devices for Precision Medicine and Health State Monitoring

Author(s): In cheol Jeong, David Bychkov, Peter C. Searson
Wearable Devices for Precision Medicine and Health State Monitoring 170 177 IEEE Transactions on Biomedical Engineering (TBME)

   A key requirement for precision medicine is the ability to define clinically-relevant subgroups that enable improved patient management as well as the elucidation of disease mechanisms. The ability to…

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Screening for Cognitive Impairment by Model Assisted Cerebral Blood Flow Estimation

Screening for Cognitive Impairment by Model Assisted Cerebral Blood Flow Estimation

Author(s): Toni Lassila, Luigi Yuri Di Marco, Micaela Mitolo, Vicenzo Iaia, Giorgio Levedianos, Annalena Venneri, Alejandro F. Frangi
Screening for Cognitive Impairment by Model Assisted Cerebral Blood Flow Estimation 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Alzheimer’s disease is a progressive and debilitating neurodegenerative disease; one in ten people aged 65 and older have it. As there is no cure for Alzheimer’s disease, early diagnosis is…

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A Novel Algorithm for Remote Photoplethysmography: Spatial Subspace Rotation

Author(s): Wenjin Wang, Sander Stuijk, Gerard de Haan
A Novel Algorithm for Remote Photoplethysmography: Spatial Subspace Rotation 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Wenjin Wang, Sander Stuijk, and Gerard de Haan, Eindhoven University of Technology, Philips Research, The Netherlands In this paper, we propose a conceptually novel algorithm, namely “Spatial Subspace Rotation” (2SR), that…

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