Could In-Home Sensors Surpass Human Observation of People with Parkinson’s at High Risk of Falling? An Ethnographic Study
Joint Authors
Stack, Emma
King, Rachel
Janko, Balazs
Burnett, Malcolm
Hammersley, Nicola
Agarwal, Veena
Hannuna, Sion
Burrows, Alison
Ashburn, Ann
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-14
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Self-report underpins our understanding of falls among people with Parkinson’s (PwP) as they largely happen unwitnessed at home.
In this qualitative study, we used an ethnographic approach to investigate which in-home sensors, in which locations, could gather useful data about fall risk.
Over six weeks, we observed five independently mobile PwP at high risk of falling, at home.
We made field notes about falls (prior events and concerns) and recorded movement with video, Kinect, and wearable sensors.
The three women and two men (aged 71 to 79 years) having moderate or severe Parkinson’s were dependent on others and highly sedentary.
We most commonly noted balance protection, loss, and restoration during chair transfers, walks across open spaces and through gaps, turns, steps up and down, and tasks in standing (all evident walking between chair and stairs, e.g.).
Our unobtrusive sensors were acceptable to participants: they could detect instability during everyday activity at home and potentially guide intervention.
Monitoring the route between chair and stairs is likely to give information without invading the privacy of people at high risk of falling, with very limited mobility, who spend most of the day in their sitting rooms.
American Psychological Association (APA)
Stack, Emma& King, Rachel& Janko, Balazs& Burnett, Malcolm& Hammersley, Nicola& Agarwal, Veena…[et al.]. 2016. Could In-Home Sensors Surpass Human Observation of People with Parkinson’s at High Risk of Falling? An Ethnographic Study. BioMed Research International،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1097409
Modern Language Association (MLA)
Stack, Emma…[et al.]. Could In-Home Sensors Surpass Human Observation of People with Parkinson’s at High Risk of Falling? An Ethnographic Study. BioMed Research International No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1097409
American Medical Association (AMA)
Stack, Emma& King, Rachel& Janko, Balazs& Burnett, Malcolm& Hammersley, Nicola& Agarwal, Veena…[et al.]. Could In-Home Sensors Surpass Human Observation of People with Parkinson’s at High Risk of Falling? An Ethnographic Study. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1097409
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1097409