Reference : Mobile phone-connected wearable motion sensors to assess postoperative mobilization
Scientific journals : Article
Human health sciences : General & internal medicine
http://hdl.handle.net/2268/189751
Mobile phone-connected wearable motion sensors to assess postoperative mobilization
English
APPELBOOM, G. []
TAYLOR, B.E. []
BRUCE, E. []
BASSILE, C.C. []
MALAKIDIS, C. []
YANG, A. []
YOUNGERMAN, B. []
D'AMICO, R. []
BRUCE, S. []
Bruyère, Olivier mailto [Université de Liège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé >]
Reginster, Jean-Yves mailto [Université de Liège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé >]
DUMONT, E. []
CONNOLLY, E.S. []
2015
Journal of Medical Internet Research Mobile and Ubiquitous Health
3
3
e78
Yes
International
[en] mobilization ; activity tracking ; postoperative ; physiotherapy ; functional recovery ; physical therapy ; gait ; neurorehabilitation
[en] Background: Early mobilization after surgery reduces the incidence of a wide range of complications. Wearable motion sensors
measure movements over time and transmit this data wirelessly, which has the potential to monitor patient recovery and encourages
patients to engage in their own rehabilitation.
Objective: We sought to determine the ability of off-the-shelf activity sensors to remotely monitor patient postoperative mobility.
Methods: Consecutive subjects were recruited under the Department of Neurosurgery at Columbia University. Patients were
enrolled during physical therapy sessions. The total number of steps counted by the two blinded researchers was compared to the
steps recorded on four activity sensors positioned at different body locations.
Results: A total of 148 motion data points were generated. The start time, end time, and duration of each walking session were
accurately recorded by the devices and were remotely available for the researchers to analyze. The sensor accuracy was significantly
greater when placed over the ankles than over the hips (P<.001). Our multivariate analysis showed that step length was an
independent predictor of sensor accuracy. On linear regression, there was a modest positive correlation between increasing step
length and increased ankle sensor accuracy (r=.640, r2=.397) that reached statistical significance on the multivariate model
(P=.03). Increased gait speed also correlated with increased ankle sensor accuracy, although less strongly (r=.444, r2=.197). We
did not note an effect of unilateral weakness on the accuracy of left- versus right-sided sensors. Accuracy was also affected by
several specific measures of a patient’s level of physical assistance, for which we generated a model to mathematically adjust for
systematic underestimation as well as disease severity.
Conclusions: We provide one of the first assessments of the accuracy and utility of widely available and wirelessly connected
activity sensors in a postoperative patient population. Our results show that activity sensors are able to provide invaluable information about a patient’s mobility status and can transmit this data wirelessly, although there is a systematic underestimation
bias in more debilitated patients.
http://hdl.handle.net/2268/189751
http://mhealth.jmir.org/2015/3/e78/

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