Wearable Inertial Sensing for ICT Management of Fall Detection, Fall Prevention, and Assessment in Elderly

Falls are one of the most common causes of accidental injury: approximately, 37.3 million falls requiring medical intervention occur each year. Fall-related injuries may cause disabilities, and in some extreme cases, premature death among older adults, which has a significant impact on health and so...

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Main Authors: Vincenzo Genovese, Andrea Mannini, Michelangelo Guaitolini, Angelo Maria Sabatini
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Technologies
Subjects:
Online Access:http://www.mdpi.com/2227-7080/6/4/91
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author Vincenzo Genovese
Andrea Mannini
Michelangelo Guaitolini
Angelo Maria Sabatini
author_facet Vincenzo Genovese
Andrea Mannini
Michelangelo Guaitolini
Angelo Maria Sabatini
author_sort Vincenzo Genovese
collection DOAJ
description Falls are one of the most common causes of accidental injury: approximately, 37.3 million falls requiring medical intervention occur each year. Fall-related injuries may cause disabilities, and in some extreme cases, premature death among older adults, which has a significant impact on health and social care services. In recent years, information and communication technologies (ICT) have helped enhance the autonomy and quality of life of elderly people, and significantly reduced the costs associated with elderly care. We designed and developed an integrated fall detection and prevention ICT service for elderly people, which was based on two wearable smart sensors, called, respectively, WIMU fall detector and WIMU data-logger (Wearable Inertial Measurement Unit, WIMU); their goal was either to detect falls and promptly react in case of fall events, or to quantify fall risk instrumentally. The WIMU fall detector is intended to be worn at the waist level for use during activities of daily living; the WIMU logger is intended for the quantitative assessment of tested individuals during the execution of clinical tests. Both devices provide their service in conjunction with an Android mobile device. The ICT service was developed and tested within the European project I-DONT-FALL (Integrated prevention and Detection sOlutioNs Tailored to the population and risk factors associated with FALLs, funded by EU, action EU CIP-ICT-PSP-2011-5: GA #CIP-297225). Sensor description and preliminary testing results are provided in this paper.
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spelling doaj.art-da7f735321634c958c6da028565312f82022-12-22T02:17:37ZengMDPI AGTechnologies2227-70802018-10-01649110.3390/technologies6040091technologies6040091Wearable Inertial Sensing for ICT Management of Fall Detection, Fall Prevention, and Assessment in ElderlyVincenzo Genovese0Andrea Mannini1Michelangelo Guaitolini2Angelo Maria Sabatini3The Biorobotics Institute Scuola Superiore Sant’Anna, 56127 Pisa, ItalyThe Biorobotics Institute Scuola Superiore Sant’Anna, 56127 Pisa, ItalyThe Biorobotics Institute Scuola Superiore Sant’Anna, 56127 Pisa, ItalyThe Biorobotics Institute Scuola Superiore Sant’Anna, 56127 Pisa, ItalyFalls are one of the most common causes of accidental injury: approximately, 37.3 million falls requiring medical intervention occur each year. Fall-related injuries may cause disabilities, and in some extreme cases, premature death among older adults, which has a significant impact on health and social care services. In recent years, information and communication technologies (ICT) have helped enhance the autonomy and quality of life of elderly people, and significantly reduced the costs associated with elderly care. We designed and developed an integrated fall detection and prevention ICT service for elderly people, which was based on two wearable smart sensors, called, respectively, WIMU fall detector and WIMU data-logger (Wearable Inertial Measurement Unit, WIMU); their goal was either to detect falls and promptly react in case of fall events, or to quantify fall risk instrumentally. The WIMU fall detector is intended to be worn at the waist level for use during activities of daily living; the WIMU logger is intended for the quantitative assessment of tested individuals during the execution of clinical tests. Both devices provide their service in conjunction with an Android mobile device. The ICT service was developed and tested within the European project I-DONT-FALL (Integrated prevention and Detection sOlutioNs Tailored to the population and risk factors associated with FALLs, funded by EU, action EU CIP-ICT-PSP-2011-5: GA #CIP-297225). Sensor description and preliminary testing results are provided in this paper.http://www.mdpi.com/2227-7080/6/4/91fall detectionfall preventionICTinertial sensing
spellingShingle Vincenzo Genovese
Andrea Mannini
Michelangelo Guaitolini
Angelo Maria Sabatini
Wearable Inertial Sensing for ICT Management of Fall Detection, Fall Prevention, and Assessment in Elderly
Technologies
fall detection
fall prevention
ICT
inertial sensing
title Wearable Inertial Sensing for ICT Management of Fall Detection, Fall Prevention, and Assessment in Elderly
title_full Wearable Inertial Sensing for ICT Management of Fall Detection, Fall Prevention, and Assessment in Elderly
title_fullStr Wearable Inertial Sensing for ICT Management of Fall Detection, Fall Prevention, and Assessment in Elderly
title_full_unstemmed Wearable Inertial Sensing for ICT Management of Fall Detection, Fall Prevention, and Assessment in Elderly
title_short Wearable Inertial Sensing for ICT Management of Fall Detection, Fall Prevention, and Assessment in Elderly
title_sort wearable inertial sensing for ict management of fall detection fall prevention and assessment in elderly
topic fall detection
fall prevention
ICT
inertial sensing
url http://www.mdpi.com/2227-7080/6/4/91
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AT andreamannini wearableinertialsensingforictmanagementoffalldetectionfallpreventionandassessmentinelderly
AT michelangeloguaitolini wearableinertialsensingforictmanagementoffalldetectionfallpreventionandassessmentinelderly
AT angelomariasabatini wearableinertialsensingforictmanagementoffalldetectionfallpreventionandassessmentinelderly