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Recognition of upper limb movements for remote health monitoring

Recognition of upper limb movements for remote health monitoring
Recognition of upper limb movements for remote health monitoring
In this paper we present two methodologies based on a systematic exploration to recognize three fundamental movements of the human forearm (extension, flexion and rotation) performed during an archetypal activity of daily-living (ADL) - ‘making-a-cup-of-tea’ by four healthy subjects and stroke survivors. The recognition methodologies have been further implemented in hardware (ASIC/FPGA) which can be embedded on a resource constrained WSN node for real-time detection of arm movements. We propose that these techniques could be used as a clinical tool to assess rehabilitation progress in neurodegenerative pathologies such as stroke or cerebral palsy by tracking the number of times a patient performs specific arm movements (e.g. prescribed exercises) with the paretic arm throughout the day
Biswas, Dwaipayan
76983b74-d729-4aae-94c3-94d05e9b2ed4
Biswas, Dwaipayan
76983b74-d729-4aae-94c3-94d05e9b2ed4

Biswas, Dwaipayan (2014) Recognition of upper limb movements for remote health monitoring. The IEEE Intelligent Informatics Bulletin, 15 (1).

Record type: Article

Abstract

In this paper we present two methodologies based on a systematic exploration to recognize three fundamental movements of the human forearm (extension, flexion and rotation) performed during an archetypal activity of daily-living (ADL) - ‘making-a-cup-of-tea’ by four healthy subjects and stroke survivors. The recognition methodologies have been further implemented in hardware (ASIC/FPGA) which can be embedded on a resource constrained WSN node for real-time detection of arm movements. We propose that these techniques could be used as a clinical tool to assess rehabilitation progress in neurodegenerative pathologies such as stroke or cerebral palsy by tracking the number of times a patient performs specific arm movements (e.g. prescribed exercises) with the paretic arm throughout the day

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Manuscript Biswas _final.pdf - Accepted Manuscript
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Published date: December 2014
Organisations: Electronic & Software Systems

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Local EPrints ID: 375694
URI: http://eprints.soton.ac.uk/id/eprint/375694
PURE UUID: df525f15-7e25-4f79-8d80-e9aab82fa608

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Date deposited: 09 Apr 2015 12:57
Last modified: 14 Mar 2024 19:30

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Contributors

Author: Dwaipayan Biswas

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