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
December 2014
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).
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
Text
Manuscript Biswas _final.pdf
- Accepted Manuscript
More information
Published date: December 2014
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 375694
URI: http://eprints.soton.ac.uk/id/eprint/375694
PURE UUID: df525f15-7e25-4f79-8d80-e9aab82fa608
Catalogue record
Date deposited: 09 Apr 2015 12:57
Last modified: 14 Mar 2024 19:30
Export record
Contributors
Author:
Dwaipayan Biswas
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics