Key result
Newly developed flexible software successfully analyzes human biosignals including ECG and EEG in clinical testing.
A robust and flexible application software for analyzing human biosignals (ECG, EMG, EEG, speech) was successfully developed and tested in a clinical setting.
Answers are grounded in this paper and cite their sources.
May aid multi-biosignal analysis in hospitals; leaves open need for outcome validation in larger trials.
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.
No takes yet. Share an insight, caveat, or question.
Ajani Adegbenro Sunday (2018) studied Biosignal analysis (n=50). Biosignal application software was evaluated on Successful testing and development of flexible application software for biosignal data analysis. A flexible and robust application software for the analysis of human biosignal information (ECG, EMG, EEG, and speech) was successfully developed and tested on 50 patients across five hospitals.
Synapse has enriched 10 related papers. Consider them for comparative context: