Literature DB >> 19382869

Toward the design of a wearable system for fall-risk detection in telerehabilitation.

Daniele Giansanti1, Sandra Morelli, Giovanni Maccioni, Giovanni Costantini.   

Abstract

Telemedicine represents a valid aid in rehabilitation process. A remote therapist in a telerehabilitation program could monitor daily motion activity and assign motion-rehabilitation tools on the basis of the fall risk. However, one problem is detection of the fall risk itself. Web-based video-camera images alone do not help the remote assessment of the fall risk using the most commonly used qualitative tests based on visual observation. A novel wearable system to assess fall risk in telerehabilitation has been proposed based on an Inertial Measurement Unit and a medical protocol. It provides a score in four levels (1: no fall risk; 4: major fall risk). The telemedicine tool is integrated to the Global System for Mobile communication (GSM) net. Each component of the wearable system has been designed and integrated. Each component in the system has been tested individually and in a closed loop. One subject was monitored in a telemedicine link. The test showed a high degree of acceptance. The tool will be furnished to subjects along with a homecare device for daily routine monitoring of motion activity and could eventually be integrated with other systems designed to monitor other physiological parameters along with different aids and monitoring tools.

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Year:  2009        PMID: 19382869     DOI: 10.1089/tmj.2008.0106

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  9 in total

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Authors:  S Agarwal; E A Warburton
Journal:  J Neurol       Date:  2011-02-11       Impact factor: 4.849

Review 2.  A re-conceptualization of access for 21st century healthcare.

Authors:  John C Fortney; James F Burgess; Hayden B Bosworth; Brenda M Booth; Peter J Kaboli
Journal:  J Gen Intern Med       Date:  2011-11       Impact factor: 5.128

3.  In-home telerehabilitation for proximal humerus fractures: a pilot study.

Authors:  Michel Tousignant; Anne-Marie Giguère; Marilène Morin; Julie Pelletier; Annie Sheehy; François Cabana
Journal:  Int J Telerehabil       Date:  2015-01-29

4.  Wearable-Sensor-Based Classification Models of Faller Status in Older Adults.

Authors:  Jennifer Howcroft; Edward D Lemaire; Jonathan Kofman
Journal:  PLoS One       Date:  2016-04-07       Impact factor: 3.240

5.  Feature selection for elderly faller classification based on wearable sensors.

Authors:  Jennifer Howcroft; Jonathan Kofman; Edward D Lemaire
Journal:  J Neuroeng Rehabil       Date:  2017-05-30       Impact factor: 4.262

6.  Application of Wearable Inertial Sensors and A New Test Battery for Distinguishing Retrospective Fallers from Non-fallers among Community-dwelling Older People.

Authors:  Hai Qiu; Rana Zia Ur Rehman; Xiaoqun Yu; Shuping Xiong
Journal:  Sci Rep       Date:  2018-11-05       Impact factor: 4.379

Review 7.  Impact of the Moderating Effect of National Culture on Adoption Intention in Wearable Health Care Devices: Meta-analysis.

Authors:  Zhenming Zhang; Enjun Xia; Jieping Huang
Journal:  JMIR Mhealth Uhealth       Date:  2022-06-03       Impact factor: 4.947

Review 8.  Sensor-based fall risk assessment in older adults with or without cognitive impairment: a systematic review.

Authors:  Jelena Bezold; Janina Krell-Roesch; Tobias Eckert; Darko Jekauc; Alexander Woll
Journal:  Eur Rev Aging Phys Act       Date:  2021-07-09       Impact factor: 3.878

Review 9.  Review of fall risk assessment in geriatric populations using inertial sensors.

Authors:  Jennifer Howcroft; Jonathan Kofman; Edward D Lemaire
Journal:  J Neuroeng Rehabil       Date:  2013-08-08       Impact factor: 4.262

  9 in total

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