A review of wearable sensors and systems with application in rehabilitation

Patel, Shyamal; Park, Hyung-Kyu; Bonato, Paolo; Chan, Leighton; Rodgers, Mary M.

doi:10.1186/1743-0003-9-21

Cited by 1,822 publications

(1,052 citation statements)

References 99 publications

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“…The use of body-worn sensors for in-home rehabilitation is an emerging healthcare application domain (Patel et al, 2012). These virtual reality applications typically consist of body-worn sensors, interactive software, and real-time representations of the patient.…”

Section: Biomechanical Rehabilitationmentioning

confidence: 99%

Body-Worn, Ambient, and Consumer Sensing for Health Applications

McGrath¹,

Scanaill²

2013

Sensor Technologies

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There has been increasing momentum, particularly in the last decade, for new healthcare sensing and monitoring devices, driven in part by advances in sensor and sensor system technologies, which are delivering greater capabilities at economically viable costs. Moreover, global demographics are driving a significant rethink in the way we deliver healthcare. The cost of healthcare will continue to rise unabated, to economically unaffordable levels, unless we change our current approach. Technology affords greater flexibility in clinical protocols and enables the new consumer healthcare market. Sensing and sensor technologies play a key role at the center of healthcare innovation, and will continue to enable that innovation into the future as they integrate with a range of other information and communications technologies (ICT) to deliver exciting new capabilities.As new sensing technologies, such as microelectromechanical systems (MEMS), biochemical, and immunological sensors continue to emerge, their proliferation into healthcare will continue to accelerate. Sensing will enable regular or continuous monitoring of health status, which will in turn enable the delivery of new proactive models of care. In the longer term, patient outcomes should improve, because issues will be identified earlier, when interventions can be more effective and less costly. Continuous monitoring solutions have already emerged in the telehealth space for monitoring chronic conditions, such as chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF), and diabetes. Such monitoring provides continuous observation of disease state, which is valuable for anticipating and avoiding the physical and financial cost of acute episodes. Treating patients after an acute episode-which is the current reactive model of care-can result in catastrophic and irreversible changes in a person's health and well-being and lead to accelerated decline. Over time, sensing will also be applied to screening the general population as part of national healthcare programs to improve public health. Individuals, particularly the increasing number of "worried well" individuals (those who are healthy but are worried about becoming ill and seek reassurance by visiting their doctor, testing themselves, or taking medication when there is no medical reason to do so), are also likely to utilize sensing technology to proactively monitor and maintain their own health.As pervasive sensing becomes the norm in healthcare, it will significantly increase our knowledge about disease risk and the effectiveness of interventions. Existing technology-based solutions are currently helping us to better understand the aging process, including identifying early signs of cognitive decline, frailty, motor and neurological issues. Sensor technologies enable a fresh look at healthcare at the individual level by building a detailed understanding of changes in a person's health status. This data provides the early warning signs for issues that most affect health and well-being. Ch...

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Section: Biomechanical Rehabilitationmentioning

confidence: 99%

Body-Worn, Ambient, and Consumer Sensing for Health Applications

McGrath¹,

Scanaill²

2013

Sensor Technologies

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“…A 2012 review of wearable and ambient sensing systems for health and rehabilitation highlighted the potential of objective monitoring for home-based rehabilitation interventions [9]. In addressing dementia, the authors observed that an "important factor in this patient population is that the monitoring system must be totally unobtrusive and, if possible, collect information in a transparent way without patient intervention".…”

Section: Introductionmentioning

confidence: 99%

Addressing the Deployment Challenges of Health Monitoring Devices for a Dementia Study

Collins¹,

Aldred²,

Woolley³

et al. 2015

Proceedings of the 5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming Healthcare

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This paper presents the findings of a technological adoption assessment of health monitoring devices for a dementia study. The work was motivated by the need to monitor physical activity interventions in a study cohort of dementia patients living with caregiver support in the community. The system requirements were for a discrete and unobtrusive solution with activity level (energy expenditure) and heart rate monitoring. In addition to fulfilling system requirements, successful technology adoption requires careful consideration of practical challenges in deployment.The paper addresses these challenges -in particular, aspects relating to the servicing and maintenance of units over the study period and the access and synchronisation of data.Test data visualisations and data mining results for sustained, long-term data capture are provided.

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“…For instance, gait analysis has been used to assess musculoskeletal complications, disease due to aging, cardiopathies, and neurological conditions such as stroke, Parkinson's disease, and multiple sclerosis [1]- [7]. Gait analysis can reflect the quality of life of patients and the effect of treatment and rehabilitation programs [5], [7]- [10].…”

Section: Introductionmentioning

confidence: 99%

An Accurate Wearable Foot Clearance Estimation System: Toward a Real-Time Measurement System

2017

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Abstract-This work presents an accurate, robust, wearable measurement system for foot clearance estimation along with algorithms to provide a real-time estimate of foot height and orientation. Different configurations of infrared distance meter sensors were used, both alone and in combination with an inertial measurement unit. In order to accurately estimate the foot clearance when in presence of daylight and when the foot orientation changes dynamically during walking, several algorithms were designed based on physics of sensors and tuned using the acquired data against a reference system. These algorithms, specific to the number of sensors, include the estimators of the foot orientation and estimators of the foot clearance. These estimators are tested on normal walking (RMS error ≤ 8.4mm) and walking with exaggerated step heights and inversion-eversion rotations. A Bayesian fusion of estimators was also implemented to better cope with the extreme and abnormal walking kinematics while maintaining a high performance for normal walking. All estimators were trained on uniformly distributed bootstrapped sub-samples of data and tested on several normal and abnormal walking data. The results proved the robustness of the proposed system against variations in the gait kinematics (|mean| ± standard deviation of error for heel and toe clearance was equal to or smaller than 3.1±9.3 mm when using a Bayesian fusion of three different estimators) and environment lighting (with an introduced error of 1 to 4% of actual distance).Index Terms-Foot clearance, infrared range meter, inertial measurement unit, Bayesian fusion.

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A review of wearable sensors and systems with application in rehabilitation

Cited by 1,822 publications

References 99 publications

Body-Worn, Ambient, and Consumer Sensing for Health Applications

Body-Worn, Ambient, and Consumer Sensing for Health Applications

Addressing the Deployment Challenges of Health Monitoring Devices for a Dementia Study

An Accurate Wearable Foot Clearance Estimation System: Toward a Real-Time Measurement System

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