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Open AccessArticle

Pilot Study of the EncephaLog Smartphone Application for Gait Analysis

Montfort Brain Monitor LTD, Ha-Nasi 14, Zichron Ya’acov 3090314, Israel
Author to whom correspondence should be addressed.
Sensors 2019, 19(23), 5179;
Received: 21 September 2019 / Revised: 4 November 2019 / Accepted: 11 November 2019 / Published: 26 November 2019
(This article belongs to the Section Biomedical Sensors)
Gait disorders and falls are common in elders and in many clinical conditions, yet they are typically infrequently and subjectively evaluated, limiting prevention and intervention. Completion-time of the Timed-Up-and-Go (TUG) test is a well-accepted clinical biomarker for rating mobility and prediction of falls risk. Using smartphones’ integral accelerometers and gyroscopes, we already demonstrated that TUG completion-time can be accurately measured via a smartphone app. Here we present an extended app, EncephaLogTM, which provides gait analysis in much more detail, offering 9 additional gait biomarkers on top of the TUG completion-time. In this pilot, four healthy adults participated in a total of 32 TUG tests; simultaneously recorded by EncephaLog and motion sensor devices used in movement labs: motion capture cameras (MCC), pressure mat; and/or wearable sensors. Results show high agreement between EncephaLog biomarkers and those measured by the other devices. These preliminary results suggest that EncephaLog can provide an accurate, yet simpler, instrumented TUG (iTUG) platform than existing alternatives, offering a solution for clinics that cannot afford the cost or space required for a dedicated motion lab and for monitoring patients at their homes. Further research on a larger study population with pathologies is required to assess full validity. View Full-Text
Keywords: mHealth; timed up and go; iTUG; wearables mHealth; timed up and go; iTUG; wearables
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MDPI and ACS Style

Tchelet, K.; Stark-Inbar, A.; Yekutieli, Z. Pilot Study of the EncephaLog Smartphone Application for Gait Analysis. Sensors 2019, 19, 5179.

AMA Style

Tchelet K, Stark-Inbar A, Yekutieli Z. Pilot Study of the EncephaLog Smartphone Application for Gait Analysis. Sensors. 2019; 19(23):5179.

Chicago/Turabian Style

Tchelet, Keren; Stark-Inbar, Alit; Yekutieli, Ziv. 2019. "Pilot Study of the EncephaLog Smartphone Application for Gait Analysis" Sensors 19, no. 23: 5179.

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