Title :
EMG-Based Detection of Inspiration in the Rat Diaphragm Muscle
Author :
Dow, Douglas E. ; Mantilla, Carlos B. ; Zhan, Wen-Zhi ; Sieck, Gary C.
Author_Institution :
Dept. of Physiol. & Biomed. Eng., Mayo Clinic Coll. of Med., Rochester, MN
fDate :
Aug. 30 2006-Sept. 3 2006
Abstract :
An algorithm to detect the timing of each breath from an electromyogram (EMG) signal was developed. The algorithm has low computation cost and would be suitable for applications of implantable diaphragm pacing devices or as a trigger for each breath generated by a mechanical ventilator. The algorithm was implemented both in a Lab View program on a desktop computer and in a C program on a microcontroller chip, and was tested on the EMG signal from the left diaphragm muscle of an anesthetized rat via implanted electrodes. The breath detection by the algorithm was over 99% accurate when the anesthetized rat was lying still, but for periods when the rat was gently wiggled to introduce noise and irregular breathing patterns, 19% of the breaths were missed and false positives occurred 6% of the time
Keywords :
C language; biomedical measurement; electromyography; medical computing; medical signal detection; microcontrollers; microelectrodes; orthotics; pneumodynamics; C program; EMG; Lab View program; anesthetized rat; breath detection; breathing patterns; electromyogram; implantable diaphragm pacing devices; implanted electrodes; mechanical ventilator; microcontroller chip; rat diaphragm muscle; Algorithm design and analysis; Animals; Biomedical monitoring; Electrodes; Electromyography; Microcontrollers; Muscles; Timing; Ventilation; Wire;
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2006.260688