Title :
Neural network analysis of musculoskeletal responses to electrical AC-stimulus
Author :
Hannula, M. ; Alasaarela, E. ; Laitinen, J.
Author_Institution :
Inst. of Technol., Oulu Polytech., Finland
Abstract :
Analyzing the human body by the application of alternating electrical currents is not a widely known method in medicine. In our research, we stimulated test persons by exposing them to different low frequencies and measured their responses to them. This method, known as FAM (Frequency Analysis Method), can be used to estimate the physiological condition of patients. In this study, we present a method of processing the results using neural networks. By producing user-friendly visual data, the processing method aids a physiotherapist in the interpretation of the results, resulting in a more reliable diagnosis.
Keywords :
curve fitting; frequency-domain analysis; medical diagnostic computing; neuromuscular stimulation; self-organising feature maps; back pain; diagnosis index; electrical AC-stimulus; fibromyalgia; frequency analysis method; musculoskeletal responses; neck pain; neural network analysis; self-organizing maps; user-friendly visual data; Artificial neural networks; Back; Biomedical measurements; Frequency measurement; Humans; Medical diagnostic imaging; Musculoskeletal system; Neural networks; Pain; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1020554
