Monitoring and alerting system for home-alone elderly

This report presents the design of a fall prevention system for the elderly using an Electromyography (EMG) based muscle sensor. The muscle sensor communicates with the microcontroller (Raspberry Pi) and Python programs are run to record and assess the elderly walking muscle strength. This informati...

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Main Author: Ang, Hui Ling
Other Authors: Yvonne Lam Ying Hung
Format: Final Year Project (FYP)
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/77404
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author Ang, Hui Ling
author2 Yvonne Lam Ying Hung
author_facet Yvonne Lam Ying Hung
Ang, Hui Ling
author_sort Ang, Hui Ling
collection NTU
description This report presents the design of a fall prevention system for the elderly using an Electromyography (EMG) based muscle sensor. The muscle sensor communicates with the microcontroller (Raspberry Pi) and Python programs are run to record and assess the elderly walking muscle strength. This information is used to give feedback to the elderly and send alerts to caregivers when muscle fatigue is detected. Two prototypes were discussed in this paper, one using a wired muscle sensor and another an improvement over the first, a wireless prototype using Message Queuing Telemetry Transport (MQTT) technology. In this study, experiments were also conducted to verify the relationship between a chosen flexing muscle test and walking muscle strength of the elderly. Two muscle groups were targeted in this report namely the biceps and tibialis anterior. In general, it supports a positive correlation allowing for the projection of walking muscle strength. The result suggests that the prototype can be used as an accurate assessment of the walking muscle strength of the elderly.
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spelling ntu-10356/774042023-07-07T16:06:53Z Monitoring and alerting system for home-alone elderly Ang, Hui Ling Yvonne Lam Ying Hung School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics This report presents the design of a fall prevention system for the elderly using an Electromyography (EMG) based muscle sensor. The muscle sensor communicates with the microcontroller (Raspberry Pi) and Python programs are run to record and assess the elderly walking muscle strength. This information is used to give feedback to the elderly and send alerts to caregivers when muscle fatigue is detected. Two prototypes were discussed in this paper, one using a wired muscle sensor and another an improvement over the first, a wireless prototype using Message Queuing Telemetry Transport (MQTT) technology. In this study, experiments were also conducted to verify the relationship between a chosen flexing muscle test and walking muscle strength of the elderly. Two muscle groups were targeted in this report namely the biceps and tibialis anterior. In general, it supports a positive correlation allowing for the projection of walking muscle strength. The result suggests that the prototype can be used as an accurate assessment of the walking muscle strength of the elderly. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-05-28T06:38:10Z 2019-05-28T06:38:10Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77404 en Nanyang Technological University 78 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Ang, Hui Ling
Monitoring and alerting system for home-alone elderly
title Monitoring and alerting system for home-alone elderly
title_full Monitoring and alerting system for home-alone elderly
title_fullStr Monitoring and alerting system for home-alone elderly
title_full_unstemmed Monitoring and alerting system for home-alone elderly
title_short Monitoring and alerting system for home-alone elderly
title_sort monitoring and alerting system for home alone elderly
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
url http://hdl.handle.net/10356/77404
work_keys_str_mv AT anghuiling monitoringandalertingsystemforhomealoneelderly