wearable sensors

Prediction of Freezing of Gait in Parkinson’s Disease Using Statistical Inference and Lower–Limb Acceleration Data

Author(s): Nader Naghavi, Eric Wade
Prediction of Freezing of Gait in Parkinson’s Disease Using Statistical Inference and Lower–Limb Acceleration Data 1024 371 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

The freezing of gait (FoG) is a common type of motor dysfunction in advanced Parkinson’s disease (PD) associated with falls. Over the last decade, a significant amount of studies has…

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Estimating Upper-Limb Impairment Level in Stroke Survivors Using Wearable Inertial Sensors and a Minimally-Burdensome Motor Task

Author(s): Brandon Oubre, Jean-Francois Daneault, Hee-Tae Jung, Kallie Whritenour, Jose Garcia Vivas Miranda, Joonwoo Park, Taekyeong Ryu, Yangsoo Kim, Sunghoon Ivan Lee
Estimating Upper-Limb Impairment Level in Stroke Survivors Using Wearable Inertial Sensors and a Minimally-Burdensome Motor Task 1798 500 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Upper-limb paresis is the most common motor impairment post stroke. Current solutions to automate the assessment of upper-limb impairment impose a number of critical burdens on patients and their caregivers…

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Embroidered Electromyography: A Systematic Design Guide

Embroidered Electromyography: A Systematic Design Guide

Author(s): Ali Shafti, Roger B. Ribas Manero, Amanda M. Borg, Kaspar Althoefer, Matthew J. Howard
Embroidered Electromyography: A Systematic Design Guide 780 577 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

     Muscle activity monitoring or Electromyography (EMG) is a useful tool. However, EMG is typically invasive, expensive and difficult to use for untrained users. A possible solution is textile-based surface…

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