Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review

Chen, Shanshan; Lach, John; Lo, Benny; Yang, Guang‐Zhong

doi:10.1109/jbhi.2016.2608720

Cited by 347 publications

(258 citation statements)

References 126 publications

Supporting

Mentioning

252

Contrasting

Unclassified

Order By: Relevance

“…Recent reviews have examined wearable type, placement/location, algorithms and gait outcomes across a range of cohorts [23, [34][35][36]. In general author's remark on the heterogeneity of wearables, algorithms and gait outcomes due to a general lack of standardisation which make it difficult to compare and contrast across studies.…”

Section: Research Grade Wearablesmentioning

confidence: 99%

Wearables for independent living in older adults: Gait and falls

Godfrey

2017

Maturitas

View full text Add to dashboard Cite

Solutions are needed to satisfy care demands of older adults to live independently. Wearable technology (wearables) are one approach to offer a viable means for ubiquitous, sustainable and scalable monitoring in habitual free-living environments. Gait has been presented as a relevant (bio) marker in ageing and pathological studies, with objective assessment achievable by inertial-based wearables. Commercial wearables have struggled to provide accurate analytics and have been limited by non-clinically oriented gait outcomes. Moreover, some research grade wearables also fail to provide transparent functionality due to limitations in proprietary software. Innovation within this field is often sporadic with large heterogeneity of wearable types and algorithms for gait outcomes leading to a lack of pragmatic use. This review provides a summary of recent wearable gait assessment literature, focusing on the need for an algorithm fusion approach to measurement cumulating in the ability to better detect and classify falls. A brief presentation of wearables in one pathological group is presented, identifying appropriate work for researchers in other cohorts to utilise. Opportunities for how this domain needs to progress are also summarised. Highlights• Wearables can meet older adults' needs for independent living.• Gait assessment is a (bio)marker within ageing and different pathologies.• Measuring gait with wearables has been innovative but fraught with inconsistencies.

show abstract

Section: Research Grade Wearablesmentioning

confidence: 99%

Wearables for independent living in older adults: Gait and falls

Godfrey

2017

Maturitas

View full text Add to dashboard Cite

show abstract

“…According to a recently published review article in the field of gait assessment using inertial sensors [25], only 30% of the 669 analyzed papers include relevant patient cohorts, and only 13% of the papers actually report on an application in an operational clinical environment required for the highest technology readiness levels.…”

Section: Discussionmentioning

confidence: 99%

“…Most applications that are based on smart shoe technologies aim for impairment-specific gait signature assessment. A recent review article [25] gives an excellent overview regarding the applications of smart shoes in the medical domain, including fantastic overview tables that compare related work with specific items. In their study, the authors found that 29% of the included articles address Parkinson's disease, 17% Cerebral Palsy, and 13% orthoses, as summarized in Figure 6.…”

Section: Medical Applicationsmentioning

confidence: 99%

An Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring

et al. 2017

View full text Add to dashboard Cite

New smart technologies and the internet of things increasingly play a key role in healthcare and wellness, contributing to the development of novel healthcare concepts. These technologies enable a comprehensive view of an individual's movement and mobility, potentially supporting healthy living as well as complementing medical diagnostics and the monitoring of therapeutic outcomes. This overview article specifically addresses smart shoes, which are becoming one such smart technology within the future internet of health things, since the ability to walk defines large aspects of quality of life in a wide range of health and disease conditions. Smart shoes offer the possibility to support prevention, diagnostic work-up, therapeutic decisions, and individual disease monitoring with a continuous assessment of gait and mobility. This overview article provides the technological as well as medical aspects of smart shoes within this rising area of digital health applications, and is designed especially for the novel reader in this specific field. It also stresses the need for closer interdisciplinary interactions between technological and medical experts to bridge the gap between research and practice. Smart shoes can be envisioned to serve as pervasive wearable computing systems that enable innovative solutions and services for the promotion of healthy living and the transformation of health care.

show abstract

“…The selected sample rate is currently used for several gait analysis systems [21]. The analog inputs of Arduino are internally connected to 10-bit analog-to-digital converters.…”

Section: System Descriptionmentioning

confidence: 99%

Multisensor System for Analyzing the Thigh Movement During Walking

et al. 2017

View full text Add to dashboard Cite

Abstract-Body movements monitoring may allow preventing, diagnosing, and recovering several wrong attitudes that could lead to possible future diseases. A multi sensor system was developed to measure thigh movements in free-living environments all-day long especially during walking. The device is a very simple and portable system based on low-cost technology. It is composed of an inertial sensor and a strain sensor for detecting thigh movements, and of a microcontroller and a Bluetooth module. The measurement data are collected and sent wirelessly to a PC for storing and further analyses. We validated and tested the wearable system on 10 healthy subjects during walking and running by using an accurate inertial motion capture (Mo-cap) system. The inclination of the thigh measured by the proposed system has differed of maximum 5.5° with respect to the flexion/extension measured by the Mo-cap system. Furthermore, the experimental results have showed that the strain sensor output can also be related to the muscle activity during walking. This assumption has further been sustained when the system is tested during running. Thanks to its high wearability, wireless communication over long distances and long-battery life, the system could be adopted for domestic applications.Index Terms-strain sensor, inertial sensor, wearable sensor, wearable electronic device.

show abstract

Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review

Cited by 347 publications

References 126 publications

Wearables for independent living in older adults: Gait and falls

Wearables for independent living in older adults: Gait and falls

An Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring

Multisensor System for Analyzing the Thigh Movement During Walking

Contact Info

Product

Resources

About