TY - JOUR
T1 - Validating virtual time to contact with home-based technology in young and older adults
AU - Hsieh, Katherine L.
AU - Moon, Yaejin
AU - Ramkrishnan, Vignesh
AU - Ratnam, Rama
AU - Sosnoff, Jacob J.
N1 - Publisher Copyright:
© 2019 Human Kinetics, Inc.
PY - 2019/2
Y1 - 2019/2
N2 - Virtual time to contact (VTC) is a measure of postural stability that estimates the virtual time it would take to reach an individual's stability boundary. This study aimed to validate VTC as measured by a depth sensor and determine whether VTC from the depth sensor distinguishes between older adult fallers and nonfallers compared with a force platform. VTC was assessed in 10 young and 20 older adults by having participants lean in a circular direction followed by 5 balance tests: eyes open, dual task, eyes open foam, eyes closed, and eyes closed foam. Spearman rank correlations and Bland-Altman plots were conducted to determine validity, and receiver operating characteristic curves were constructed to discriminate between fallers and nonfallers. Significant correlations were found in the dual task (P = .03), eyes open foam (P < .01), and eyes closed foam conditions (P = .05). The depth sensor discriminated between fallers and nonfallers in the eyes open (P = .02), dual task (P = .03), and eyes open foam conditions (P = .04). VTC was in agreement between the 2 devices, and VTC derived from a depth sensor can be used to discriminate between older adult fallers and nonfallers during challenging balance conditions.
AB - Virtual time to contact (VTC) is a measure of postural stability that estimates the virtual time it would take to reach an individual's stability boundary. This study aimed to validate VTC as measured by a depth sensor and determine whether VTC from the depth sensor distinguishes between older adult fallers and nonfallers compared with a force platform. VTC was assessed in 10 young and 20 older adults by having participants lean in a circular direction followed by 5 balance tests: eyes open, dual task, eyes open foam, eyes closed, and eyes closed foam. Spearman rank correlations and Bland-Altman plots were conducted to determine validity, and receiver operating characteristic curves were constructed to discriminate between fallers and nonfallers. Significant correlations were found in the dual task (P = .03), eyes open foam (P < .01), and eyes closed foam conditions (P = .05). The depth sensor discriminated between fallers and nonfallers in the eyes open (P = .02), dual task (P = .03), and eyes open foam conditions (P = .04). VTC was in agreement between the 2 devices, and VTC derived from a depth sensor can be used to discriminate between older adult fallers and nonfallers during challenging balance conditions.
KW - Camera-based depth sensor
KW - Falls
KW - Force platform
KW - Postural stability
UR - http://www.scopus.com/inward/record.url?scp=85060148062&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060148062&partnerID=8YFLogxK
U2 - 10.1123/jab.2018-0088
DO - 10.1123/jab.2018-0088
M3 - Article
C2 - 30207197
AN - SCOPUS:85060148062
SN - 1065-8483
VL - 35
SP - 61
EP - 67
JO - Journal of Applied Biomechanics
JF - Journal of Applied Biomechanics
IS - 1
ER -