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1.
Ageing Int ; 36(2): 217-231, 2011 Jun.
Article in English | MEDLINE | ID: mdl-21660088

ABSTRACT

Approximately one in three people over the age of 65 will fall each year, resulting in significant financial, physical, and emotional cost on the individual, their family, and society. Currently, falls are managed using on-body sensors and alarm pendants to notify others when a falls event occurs. However these technologies do not prevent a fall from occurring. There is now a growing focus on falls risk assessment and preventative interventions. Falls risk is currently assessed in a clinical setting by expert physiotherapists, geriatricians, or occupational therapists following the occurrence of an injurious fall. As the population ages, this reactive model of care will become increasingly unsatisfactory, and a proactive community-based prevention strategy will be required. Recent advances in technology can support this new model of care by enabling community-based practitioners to perform tests that previously required expensive technology or expert interpretation. Gait and balance impairment is one of the most common risk factors for falls. This paper reviews the current technical and non-technical gait and balance assessments, discusses how low-cost technology can be applied to objectively administer and interpret these tests in the community, and reports on recent research where body-worn sensors have been utilized. It also discusses the barriers to adoption in the community and proposes ethnographic research as a method to investigate solutions to these barriers.

2.
Article in English | MEDLINE | ID: mdl-18002458

ABSTRACT

The objective of this work was to evaluate the accuracy and viability of a mobility telemonitoring system, based on the short message service (SMS), to monitor the functional mobility of elderly subjects in an unsupervised environment. A clinical trial was conducted consisting of 6 elderly subjects; 3 male, 3 female (mean: 81.7, SD: 5.09). Mobility was monitored using an accelerometer based portable unit worn by each monitored subject for eleven hours. Every 15 minutes the mobility of the subject was summarized and transmitted as an SMS message from the portable unit to a remote server for long term analysis. The activPAL Trio Professional physical activity logger was simultaneously used for comparison with the portable unit. On conclusion of the trial each subject completed a questionnaire detailing their satisfaction with the portable unit and any recommendations for improvements. Overall a percentage difference of 2.31% was found between the activPAL Trio and the portable unit for the detection of sitting. For the combined postures of standing and walking the percentage difference was calculated as 2.9%. A bivariate correlation and regression analysis was performed on the entire data set of one subject. Strong positive correlation's were found for the detection of sitting (r = 0.996) and for the combined postures of standing and walking (r = 0.994). Subjects suggested that a lighter, smaller and wireless unit would be more effective.


Subject(s)
Monitoring, Ambulatory/instrumentation , Monitoring, Ambulatory/methods , Telemedicine/instrumentation , Acceleration , Aged , Aged, 80 and over , Computer Communication Networks , Computers, Handheld , Equipment Design , Female , Humans , Male , Monitoring, Physiologic/instrumentation , Monitoring, Physiologic/methods , Posture , Regression Analysis , Telemedicine/methods
3.
Ann Biomed Eng ; 34(4): 547-63, 2006 Apr.
Article in English | MEDLINE | ID: mdl-16550450

ABSTRACT

Rapid technological advances have prompted the development of a wide range of telemonitoring systems to enable the prevention, early diagnosis and management, of chronic conditions. Remote monitoring can reduce the amount of recurring admissions to hospital, facilitate more efficient clinical visits with objective results, and may reduce the length of a hospital stay for individuals who are living at home. Telemonitoring can also be applied on a long-term basis to elderly persons to detect gradual deterioration in their health status, which may imply a reduction in their ability to live independently. Mobility is a good indicator of health status and thus by monitoring mobility, clinicians may assess the health status of elderly persons. This article reviews the architecture of health smart home, wearable, and combination systems for the remote monitoring of the mobility of elderly persons as a mechanism of assessing the health status of elderly persons while in their own living environment.


Subject(s)
Monitoring, Physiologic/instrumentation , Monitoring, Physiologic/methods , Motor Activity , Telemedicine/instrumentation , Telemedicine/methods , Aged , Aged, 80 and over , Chronic Disease , Female , Humans , Male
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