A fuzzy approach to the rate control in an artificial cardiac pacemaker regulated by respiratory rate and temperature: a preliminary report.
Fuzzy theory was applied to the rate control of a cardiac pacemaker which uses two parameters, respiratory rate and temperature, as the parameters for rate regulation. Using 25 fuzzy reasoning rules derived from five mongrel dogs, the pacing rates in three animals were calculated and compared with the intrinsic heart rates. It is concluded that the fuzzy method is well suited for the rate determination of a multi-parameter rate-responsive cardiac pacemaker.
Research Institute of Electronics, Shizuoka University, Japan.
T
T
Sugiura
S
S
Mizushina
M
M
Kimura
Y
Y
Fukui
Y
Y
Harada
D000465:Algorithms; D000818:Animals; D001831:Body Temperature / Q000502:physiology*; D002304:Cardiac Pacing, Artificial / Q000379:methods*; D004285:Dogs; D006339:Heart Rate / Q000502:physiology*; D012119:Respiration / Q000502:physiology*