The Centers for Disease and Control report that falls are the most common cause of injury in older adults. Moderate to severe fall-related injuries significantly interfere with independent living and reduce quality of life, and it is necessary to prevent these falls whenever possible. The present study seeks to identify factors within a hospital bedroom and bathroom setting that may lead to falls. A motion capture experiment was conducted in a laboratory setting on thirty subjects over the age of seventy using one bedroom and two bathroom mockups designed to match the dimensions and layout of a representative room drawn from the archives of a large healthcare design firm. Data were post processed using Cortex and Visual3D software. A potential fall was defined as a period of time during which the jerk trajectory of the upper body’s center of mass remained consistently high. Preliminary results suggest that falls are more likely to occur when a patient is reaching, taking backwards steps, or turning. Future work includes locating each potential fall in a video recording to be analyzed by healthcare professionals including healthcare designers, clinicians, and a kinesiology expert. Identifying potential falls may lead to safer designs for hospital bedrooms and bathrooms and improved education for elderly adults about how to prevent falls.
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ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 2–5, 2015
Boston, Massachusetts, USA
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-5704-5
PROCEEDINGS PAPER
Identifying Possible Patient Slips and Falls Using Motion Capture Experiments
Aimee Cloutier,
Aimee Cloutier
Texas Tech University, Lubbock, TX
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Debajyoti Pati,
Debajyoti Pati
Texas Tech University, Lubbock, TX
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Shabboo Valipoor,
Shabboo Valipoor
Texas Tech University, Lubbock, TX
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Brandon Snailer,
Brandon Snailer
Texas Tech University, Lubbock, TX
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Jerrod Hollers
Jerrod Hollers
Texas Tech University, Lubbock, TX
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Aimee Cloutier
Texas Tech University, Lubbock, TX
James Yang
Texas Tech University, Lubbock, TX
Debajyoti Pati
Texas Tech University, Lubbock, TX
Shabboo Valipoor
Texas Tech University, Lubbock, TX
Brandon Snailer
Texas Tech University, Lubbock, TX
Jerrod Hollers
Texas Tech University, Lubbock, TX
Paper No:
DETC2015-46635, V01AT02A047; 8 pages
Published Online:
January 19, 2016
Citation
Cloutier, A, Yang, J, Pati, D, Valipoor, S, Snailer, B, & Hollers, J. "Identifying Possible Patient Slips and Falls Using Motion Capture Experiments." Proceedings of the ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 1A: 35th Computers and Information in Engineering Conference. Boston, Massachusetts, USA. August 2–5, 2015. V01AT02A047. ASME. https://doi.org/10.1115/DETC2015-46635
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