Synchronized Sensor Insoles for Clinical Gait Analysis in Home-Monitoring Applications
| Autor: | Jochen Klucken, Nils Roth, Bjoern M. Eskofier, Christine F. Martindale, Heiko Gaßner, Zacharias Kohl |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
030506 rehabilitation
medicine.medical_specialty Computer science 010401 analytical chemistry Biomedical Engineering insole gait 01 natural sciences 0104 chemical sciences 03 medical and health sciences Gait (human) Physical medicine and rehabilitation Gait analysis Double support Synchronization (computer science) medicine home-monitoring Medicine 0305 other medical science double support synchronization |
| Zdroj: | Current Directions in Biomedical Engineering, Vol 4, Iss 1, Pp 433-437 (2018) |
| ISSN: | 2364-5504 |
| Popis: | Wearable sensor systems are of increasing interest in clinical gait analysis. However, little information about gait dynamics of patients under free living conditions is available, due to the challenges of integrating such systems unobtrusively into a patient’s everyday live. To address this limitation, new, fully integrated low power sensor insoles are proposed, to target applications particularly in home-monitoring scenarios. The insoles combine inertial as well as pressure sensors and feature wireless synchronization to acquire biomechanical data of both feet with a mean timing offset of 15.0 μs. The proposed system was evaluated on 15 patients with mild to severe gait disorders against the GAITRite® system as reference. Gait events based on the insoles’ pressure sensors were manually extracted to calculate temporal gait features such as double support time and double support. Compared to the reference system a mean error of 0.06 s ±0.06 s and 3.89 % ±2.61 % was achieved, respectively. The proposed insoles proved their ability to acquire synchronized gait parameters and address the requirements for home-monitoring scenarios, pushing the boundaries of clinical gait analysis. |
| Databáze: | OpenAIRE |
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