Design of complex data acquisition system for kinetics, kinematics, and kinesiological gait analysis
Autor: | Fauzan Arrofiqi, Nita Z. D. L Mulyawati, Mohammad Nuh, Achmad Arifin |
---|---|
Rok vydání: | 2017 |
Předmět: |
Kinesiology
Vernier scale business.industry Computer science 0206 medical engineering Wearable computer 02 engineering and technology Kinematics Accelerometer 020601 biomedical engineering law.invention 03 medical and health sciences 0302 clinical medicine Gait (human) law Force-sensing resistor Gait analysis Computer vision Artificial intelligence business 030217 neurology & neurosurgery |
Zdroj: | 2017 International Seminar on Intelligent Technology and Its Applications (ISITIA). |
DOI: | 10.1109/isitia.2017.8124106 |
Popis: | Gait is one of biometrie information and defined as pattern movement of lower limb. Clinical gait analysis is important for treatment, diagnosis, and reference for therapy. This paper presents kinematics, kinetics analysis, and kinesiological of muscle signal using complex data acquisitions from normal subject. Gait data were taken using 4 instruments, Optotrak certus 3020, Vernier Force Plate, 8 channels self-design LE EMG, and Wearable sensor that consist of accelerometers, gyroscopes, and Force Sensitive Resistor (FSRs). The results of FSR (kinetics), wearable sensors (kinematics), LE-EMG (kinesiology), Optotrak Certus 3020 (kinematics) were integrated together so different results can be seen from the data. The data of LE hardware and LE software from muscle signal were compared. The analysis result of Force Plate was obtaining kinetics analysis, Fmax, Fmin, FTO, and FHO. This study was able to take gait data using 4 instruments simultaneously and kinetics, kinematics, and kinesiological gait analysis was succeed to made. This study presented gait data from 5 subjects. Further, data can be reproduced to get more normal and abnormal gait data and used for rehabilitation purpose. |
Databáze: | OpenAIRE |
Externí odkaz: |