Analysis of human biosignal information with developed application software for ECG, EMG, EEG and speech signals
| dc.contributor.author | Ajani Adegbenro Sunday, Olusope Micheal Alade, Oluwatayo Sandra Ajani, Oladosu Jamiu Alabi | |
| dc.date.accessioned | 2024-09-13T09:22:00Z | |
| dc.date.available | 2024-09-13T09:22:00Z | |
| dc.date.issued | 2018-06 | |
| dc.description.abstract | This paper repots the development of a flexible, robust and user friendly application software for the analysis of human biosignal information. Biosignals are time-varying electrical signals observed in living beings, which can be continually monitored for clinical diagnoses with suitable software. For this research, application softwares for biosignal information were developed with C programming language on MPLAB 4000 ICE. Codes for the analysis and graphical interface session were written using MATLAB 2013a. The programmes were compiled; the system encased and tested successfully with 10 patients per hospital, at five University Teaching Hospitals in South Western Nigeria and development of robust and flexible application software for the analysis of biosignal data was also achieved. | |
| dc.description.sponsorship | Self - sponsored | |
| dc.identifier.other | DOI: 10.15406/ijbsbe.2018.04.00112 | |
| dc.identifier.uri | https://kwasuspace.kwasu.edu.ng/handle/123456789/2341 | |
| dc.language.iso | en_US | |
| dc.publisher | International Journal of Biosensors & Bioelectronics | |
| dc.title | Analysis of human biosignal information with developed application software for ECG, EMG, EEG and speech signals | |
| dc.type | Article |