Improving Detection of Muscular Activation with the Use of Inertial Sensors
| Autor: | Adriano O. Andrade, Ana Paula Souza Paixão, Luciano Brinck Peres, Luciene Chagas de Oliveira, Adriano Alves Pereira |
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| Rok vydání: | 2019 |
| Předmět: |
Alternative methods
medicine.diagnostic_test Computer science business.industry Electromyography Observer (special relativity) Flexor muscles Wrist body regions Visual inspection medicine.anatomical_structure Inertial measurement unit medicine Detection theory Computer vision Artificial intelligence business |
| Zdroj: | XXVI Brazilian Congress on Biomedical Engineering ISBN: 9789811325168 |
| DOI: | 10.1007/978-981-13-2517-5_41 |
| Popis: | In this paper it is proposed an alternative method for detecting electromyographic (EMG) activity using inertial sensors, together with a comparison between the performance of the proposed method with two computer-based methods available in the literature. Visual inspection was adopted as the golden standard for detecting EMG signals. The comparison was made by calculating the difference of time between the detection of a trained observer and the time annotated by 3 different computer based-methods. The EMG signal was captured from 12 individuals while performing wrist extension from the extensor and flexor muscles of the wrist. The results showed that the proposed algorithm is superior to detect EMG activity when compared to the traditional ones. In conclusion, the use of inertial sensors together with electromyography reduces errors in the estimate of the beginning of the activity, when compared to the case in which the only available information is electromyography. |
| Databáze: | OpenAIRE |
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