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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad Nacional de Colombia
2014
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| Online Access: | https://www.redalyc.org/articulo.oa?id=89933712013 |
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Table of Contents:
- Visualizing Gait Patterns of Able bodied Individuals and Transtibial Amputees with the Use of Accelerometry in Smart Phones Kardi Teknomo Maria Regina Estuar Física, Astronomía y Matemáticas Gait Monitoring Gait Monitoring Wireless Sensors Wireless Sensors Feature Selection Human gait analysis is used to indirectly monitor the rehabilitation of patients affected by diseases or to directly monitor patients under orthotic care. Visualization of gait patterns on the instrument are used to capture the data. In this study, we created a mobile application that serves as a wireless sensor to capture movement through a smartphone accelerometer. The application was used to collect gait data from two groups (able-bodied and unilateral transtibial amputees). Standard gait activities such as walk- ing, running and climbing, including non-movement, sitting were captured, stored and analyzed. This paper discusses different visualization techniques that can be derived from accelerometer data. Removing gravity data, ac- celerometer data can be transformed into distribution data using periodicity; features were derived from histograms. Decision tree analysis shows that only three significant features are necessary to classify subject activity, namely: average of minimum peak values, student t-statistics of minimum peak val- ues and mode of maximum peak values. We found that the amputee group had a higher acceleration and a lower skewness period between peaks of ac- celerations than the able-bodied group. 2014 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89933712013 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.2 Vol.37