Publication
Myoelectric Signal Monitoring System
| datacite.subject.fos | Automação e Sistemas | pt_PT |
| dc.contributor.advisor | Silva, José Alberto Machado da | |
| dc.contributor.advisor | Alves, Gustavo Ribeiro da Costa | |
| dc.contributor.author | Mendes, Fabiano Reis | |
| dc.date.accessioned | 2015-12-14T11:31:56Z | |
| dc.date.available | 2015-12-14T11:31:56Z | |
| dc.date.issued | 2015 | |
| dc.date.submitted | 2015 | |
| dc.description.abstract | The Electromyography (EMG) is an important tool for gait analyzes and disorders diagnoses. Traditional methods involve equipment that can disturb the analyses, being gradually substituted by different approaches, like wearable and wireless systems. The cable replacement for autonomous systems demands for technologies capable of meeting the power constraints. This work presents the development of an EMG and kinematic data capture wireless module, designed taking into account power consumption issues. This module captures and converts the analog myoeletric signal to digital, synchronously with the capture of kinetic information. Both data are time multiplexed and sent to a PC via Bluetooth link. The work carried out comprised the development of the hardware, the firmware and a graphical interface running in an external PC. The hardware was developed using the PIC18F14K22, a low power family of microcontrollers. The link was established via Bluetooth, a protocol designed for low power communication. An application was also developed to recover and trace the signal to a Graphic User Interface (GUI), coordinating the message exchange with the firmware. Results were obtained which allowed validating the conceived system in static and with the subject performing short movements. Although it was not possible to perform the tests within more dynamic movements, it is shown that it is possible to capture, transmit and display the captured data as expected. Some suggestions to improve the system performance also were made. | pt_PT |
| dc.identifier.tid | 201095963 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/7178 | |
| dc.language.iso | eng | pt_PT |
| dc.subject | Electromyography | pt_PT |
| dc.subject | Microcontroller | pt_PT |
| dc.subject | Bluetooth | pt_PT |
| dc.subject | Low power | pt_PT |
| dc.title | Myoelectric Signal Monitoring System | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Engenharia Electrotécnica e de Computadores | pt_PT |