Pilot Study of the EncephaLog Smartphone Application for Gait Analysis
| Autor: | Keren Tchelet, Alit Stark-Inbar, Ziv Yekutieli |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male 030506 rehabilitation medicine.medical_specialty Computer science Movement Wearable computer Pilot Projects Smartphone application Accelerometer Biochemistry Motion capture Article Analytical Chemistry 03 medical and health sciences 0302 clinical medicine Gait (human) Physical medicine and rehabilitation mHealth timed up and go iTUG wearables medicine Humans Gait disorders Electrical and Electronic Engineering Gait Instrumentation Monitoring Physiologic Atomic and Molecular Physics and Optics Gait analysis Accidental Falls Female Smartphone Gait Analysis 0305 other medical science human activities 030217 neurology & neurosurgery |
| Zdroj: | Sensors Volume 19 Issue 23 Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s19235179 |
| Popis: | 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&rsquo 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. |
| Databáze: | OpenAIRE |
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