But is it better than these other sensors?
motion-capture sensors (1)
motion sensors (12)
inertial sensors (4)
force sensors (1)
3D inertial sensors (1)
wearable sensors (10)
nanosensors (1)
Unobtrusive Monitoring of Home-Based Post-Stroke Rehabilitation Exercises Using Heterogeneous Sensors
Idongesit Ekerete, Oonagh M. Giggins, Ian Cleland, Chris Nugent, and Jim McLaughlinThis paper proposes the use of heterogeneous sensors to unobtrusively monitor post-stroke rehabilitation exercises in a home environment. Rehabilitation exercises at home help post stroke sufferers to avoid long queues at health facilities and transportation problems associated with visiting these facilities. Experimental results demonstrated the ability to capture postures from a Heimann HTPA 32x32 thermal sensor, and speed and range during hand-stretching and gait-retraining exercises from a D2G Doppler radar sensor. Plans for future work are also outlined. I. INTRODUCTION Exercise rehabilitation is an integral part in the treatment of many conditions and particularly in the management of stroke. Rehabilitation in the home environment is an alternative aimed at decongesting health facilities and avoiding logistical complexities associated with transportation to these facilities [1]. Sensing technologies provide an opportunity to monitor post-stroke suffers as they undertake rehabilitation exercises at home. Many types of sensors have been previously used including wearable and video-based solutions, both having their advantages and disadvantages. Whilst they have been shown to provide high accuracy of the usability, wearable sensors are limited by their battery life and the forgetfulness of the user to charge and wear the device. Conversely, video cameras pose issues around privacy. These limitations can lead to inaccurate measurement of health parameters, the exercises not being undertaken effectively, non-compliance with the recommended protocol and subsequent discontinuation of a rehabilitation process [2]. This work proposes the use of nonwearable sensing solutions to monitor posture, range and speed of post-stroke patients during rehabilitation exercises in a home based setting. Information related to health parameters gathered during exercises such as posture, speed and range can help physiotherapists to ascertain if exercises have been performed as prescribed.
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