Wearable Sensor Systems for Fall Risk Assessment: A Review

被引:45
|
作者
Subramaniam, Sophini [1 ]
Faisal, Abu Ilius [2 ]
Deen, M. Jamal [1 ,2 ]
机构
[1] McMaster Univ, Sch Biomed Engn, Hamilton, ON, Canada
[2] McMaster Univ, Elect & Comp Engn, Hamilton, ON, Canada
来源
FRONTIERS IN DIGITAL HEALTH | 2022年 / 4卷
基金
加拿大自然科学与工程研究理事会;
关键词
fall risk assessment; fall detection; wearables; smart insole; inertial sensors; plantar pressure; gait analysis; machine learning; BERG BALANCE SCALE; HEALTH-CARE; GAIT; STABILITY; PARAMETERS; ALGORITHM; NETWORK; WALKING; PEOPLE;
D O I
10.3389/fdgth.2022.921506
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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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页数:20
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