Experience of Use of the BiTalino Kit for Biomedical Signals Recording during Ergometric Test
| Autor: | Gabriel Vega Martinez, Lorenzo Leija Salas, Josefina Gutierrez Martinez, J. Gilberto Franco Sanchez, Carlos Alvarado Serrano, Arturo Vera Hernandez, Raul Peralta Hernandez, Jaime H. Guadarrama Becerril, Cinthya L. Toledo Peral |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Signal processing
010504 meteorology & atmospheric sciences medicine.diagnostic_test Event (computing) business.industry 05 social sciences Work (physics) Electromyography 01 natural sciences Open source hardware 0502 economics and business medicine Computer vision Artificial intelligence 050207 economics business Set (psychology) Continuous wavelet transform Digital signal processing 0105 earth and related environmental sciences |
| Zdroj: | CCE |
| DOI: | 10.1109/cce50788.2020.9299174 |
| Popis: | Physical activity should become an everyday goal. Portable systems are a perfect complement to follow-up exercise adaptation. This work presents the simultaneous measurements of surface electromyography (sEMG) and electrocardiography (ECG) signals acquisition using the BiTalino kit during joint flexion/extension and ergometry in sports evaluations. sEMG signals show the antagonist muscles and their contributions between limbs during movement performance. The analysis of heart rate changes and the tachogram calculation sum up to a set of tests to understand how the heart adjust to a demand and how it recovers. Signal processing used discrete and continuous wavelet transforms, to take advantage of time resolution for event characterization in the presence of artifacts due to movement. The use of the open source hardware BiTalino kit, along to a robust digital signal processing, allows to implement tools as an auxiliary of dynamic sports evaluations. This type of test is not normally used, so the development of this tool can potentially analyze fitness performance, fatigue, and antagonist muscles imbalances to adjust training and prevent injuries. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|