Wearable Sensor Systems for Fall Risk Assessment: A Review

Fall risk assessment and fall detection are crucial for the prevention of adverse and long-term health outcomes. Wearable sensor systems have been used to assess fall risk and detect falls while providing additional meaningful information regarding gait characteristics. Commonly used wearable system...

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Main Authors: Sophini Subramaniam, Abu Ilius Faisal, M. Jamal Deen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Digital Health
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2022.921506/full
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author Sophini Subramaniam
Abu Ilius Faisal
M. Jamal Deen
M. Jamal Deen
author_facet Sophini Subramaniam
Abu Ilius Faisal
M. Jamal Deen
M. Jamal Deen
author_sort Sophini Subramaniam
collection DOAJ
description Fall risk assessment and fall detection are crucial for the prevention of adverse and long-term health outcomes. Wearable sensor systems have been used to assess fall risk and detect falls while providing additional meaningful information regarding gait characteristics. Commonly used wearable systems for this purpose are inertial measurement units (IMUs), which acquire data from accelerometers and gyroscopes. IMUs can be placed at various locations on the body to acquire motion data that can be further analyzed and interpreted. Insole-based devices are wearable systems that were also developed for fall risk assessment and fall detection. Insole-based systems are placed beneath the sole of the foot and typically obtain plantar pressure distribution data. Fall-related parameters have been investigated using inertial sensor-based and insole-based devices include, but are not limited to, center of pressure trajectory, postural stability, plantar pressure distribution and gait characteristics such as cadence, step length, single/double support ratio and stance/swing phase duration. The acquired data from inertial and insole-based systems can undergo various analysis techniques to provide meaningful information regarding an individual's fall risk or fall status. By assessing the merits and limitations of existing systems, future wearable sensors can be improved to allow for more accurate and convenient fall risk assessment. This article reviews inertial sensor-based and insole-based wearable devices that were developed for applications related to falls. This review identifies key points including spatiotemporal parameters, biomechanical gait parameters, physical activities and data analysis methods pertaining to recently developed systems, current challenges, and future perspectives.
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spelling doaj.art-b7e1843c8eab42869779744fa41b7d722022-12-22T03:38:56ZengFrontiers Media S.A.Frontiers in Digital Health2673-253X2022-07-01410.3389/fdgth.2022.921506921506Wearable Sensor Systems for Fall Risk Assessment: A ReviewSophini Subramaniam0Abu Ilius Faisal1M. Jamal Deen2M. Jamal Deen3School of Biomedical Engineering, McMaster University, Hamilton, ON, CanadaElectrical and Computer Engineering, McMaster University, Hamilton, ON, CanadaSchool of Biomedical Engineering, McMaster University, Hamilton, ON, CanadaElectrical and Computer Engineering, McMaster University, Hamilton, ON, CanadaFall risk assessment and fall detection are crucial for the prevention of adverse and long-term health outcomes. Wearable sensor systems have been used to assess fall risk and detect falls while providing additional meaningful information regarding gait characteristics. Commonly used wearable systems for this purpose are inertial measurement units (IMUs), which acquire data from accelerometers and gyroscopes. IMUs can be placed at various locations on the body to acquire motion data that can be further analyzed and interpreted. Insole-based devices are wearable systems that were also developed for fall risk assessment and fall detection. Insole-based systems are placed beneath the sole of the foot and typically obtain plantar pressure distribution data. Fall-related parameters have been investigated using inertial sensor-based and insole-based devices include, but are not limited to, center of pressure trajectory, postural stability, plantar pressure distribution and gait characteristics such as cadence, step length, single/double support ratio and stance/swing phase duration. The acquired data from inertial and insole-based systems can undergo various analysis techniques to provide meaningful information regarding an individual's fall risk or fall status. By assessing the merits and limitations of existing systems, future wearable sensors can be improved to allow for more accurate and convenient fall risk assessment. This article reviews inertial sensor-based and insole-based wearable devices that were developed for applications related to falls. This review identifies key points including spatiotemporal parameters, biomechanical gait parameters, physical activities and data analysis methods pertaining to recently developed systems, current challenges, and future perspectives.https://www.frontiersin.org/articles/10.3389/fdgth.2022.921506/fullfall risk assessmentfall detectionwearablessmart insoleinertial sensorsplantar pressure
spellingShingle Sophini Subramaniam
Abu Ilius Faisal
M. Jamal Deen
M. Jamal Deen
Wearable Sensor Systems for Fall Risk Assessment: A Review
Frontiers in Digital Health
fall risk assessment
fall detection
wearables
smart insole
inertial sensors
plantar pressure
title Wearable Sensor Systems for Fall Risk Assessment: A Review
title_full Wearable Sensor Systems for Fall Risk Assessment: A Review
title_fullStr Wearable Sensor Systems for Fall Risk Assessment: A Review
title_full_unstemmed Wearable Sensor Systems for Fall Risk Assessment: A Review
title_short Wearable Sensor Systems for Fall Risk Assessment: A Review
title_sort wearable sensor systems for fall risk assessment a review
topic fall risk assessment
fall detection
wearables
smart insole
inertial sensors
plantar pressure
url https://www.frontiersin.org/articles/10.3389/fdgth.2022.921506/full
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