machine learning

Automated Detection of Symptomatic Autonomic Dysreflexia through Multimodal Sensing
Author(s)3: Bradley S. Duerstock, Shruthi Suresh
Automated Detection of Symptomatic Autonomic Dysreflexia through Multimodal Sensing 942 674 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: Autonomic Dysreflexia (AD) is a potentially life-threatening syndrome which occurs in individuals with higher level spinal cord injuries (SCI). AD is caused by triggers which can lead to rapid…

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Machine Learning Approach for Prediction of Hematic Parameters in Hemodialysis Patients

Machine Learning Approach for Prediction of Hematic Parameters in Hemodialysis Patients
Author(s)3: Cristoforo Decaro, Giovanni Battista Montanari, Riccardo Molinariz, Alessio Gilberti, Davide Bagnoli, Marco Bianconix, Gaetano Bellanca
Machine Learning Approach for Prediction of Hematic Parameters in Hemodialysis Patients 780 523 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

       Early Access Note: Early Access articles are new content made available in advance of the final electronic or print versions and result from IEEE’s Preprint or Rapid Post processes.…

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Locally Linear Embedding and fMRI feature selection in psychiatric classification

Locally Linear Embedding and fMRI feature selection in psychiatric classification
Author(s)3: Gagan Sidhu
Locally Linear Embedding and fMRI feature selection in psychiatric classification 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Background: Functional magnetic resonance imaging (fMRI) provides non-invasive measures of neuronal activity using an endogenous Blood Oxygenation-Level Dependent (BOLD) contrast. This article introduces a nonlinear dimensionality reduction (Locally Linear Embedding)…

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Real time gesture recognition results to control a five-finger dexterous robot

An IoT-Enabled Stroke Rehabilitation System Based On Smart Wearable Armband And Machine Learning
Author(s)3: Geng Yang, Jia Deng, Gaoyang Pang, Hao Zhang, Jiayi Li, Bin Deng, Pang Zhibo, Juan Xu, Mingzhe Jiang, Pasi Liljeberg, Haibo Xie, Huayong Yang
An IoT-Enabled Stroke Rehabilitation System Based On Smart Wearable Armband And Machine Learning 745 426 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

            Part of the Special Issue on Advanced Internet of Things in Personalized Healthcare Systems: Validation, Analysis and Utilization Abstract Surface electromyography signal plays an important role in hand function…

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Enabling Stroke Rehabilitation in Home and Community Settings: A Wearable Sensor-Based Approach for Upper-Limb Motor Training

Enabling Stroke Rehabilitation in Home and Community Settings: A Wearable Sensor-Based Approach for Upper-Limb Motor Training
Author(s)3: Sunghoon Ivan Lee, Catherine P. Adans-Dester, Matteo Grimaldi, Ariel V. Dowling, Peter C. Horak, Randie M. Black-Schaffer, Paolo Bonato, Joseph T. Gwin
Enabling Stroke Rehabilitation in Home and Community Settings: A Wearable Sensor-Based Approach for Upper-Limb Motor Training 780 418 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

        Abstract High-dosage motor practice can significantly contribute to achieving functional recovery after a stroke. Performing rehabilitation exercises at home and using, or attempting to use, the stroke-affected upper limb…

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Histogram-Based Features Selection and Volume Of Interest Ranking For Brain PET Image Classification

Histogram-Based Features Selection and Volume Of Interest Ranking For Brain PET Image Classification
Author(s)3: Imène Garali, Mouloud Adel, Salah Bourennane, Eric Guedj
Histogram-Based Features Selection and Volume Of Interest Ranking For Brain PET Image Classification 780 445 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

    Abstract Positron emission tomography (PET) is a molecular medical imaging modality which is commonly used for neurodegenerative diseases diagnosis. Computer-aided diagnosis, based on medical image analysis, could help quantitative…

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Using Smartphone Sensors for Improving Energy Expenditure Estimation
Author(s)3: Amit Pande, Jindan Zhu, Aveek Das, Yunze Zeng, Prasant Mohapatra, Jay Han
Using Smartphone Sensors for Improving Energy Expenditure Estimation 780 242 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Energy Expenditure (EE) estimation is an important factor in tracking personal activity and preventing chronic diseases such as obesity and diabetes. Accurate and real-time EE estimation utilizing small wearable sensors…

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