VLSI implementations of fuzzy logic controllers for rate-adaptive pacemakers

Zbigniew Jaworski , Wiesław Kuźmicz , Marcin Sadowski , Dariusz Sarna , Andrzej Wałkanis , Andrzej Wielgus , Adam Wojtasik

Abstract

An efficient fuzzy logic-based control algorithm for rate-adaptive cardiac pacemakers has been developed recently. This algorithm offers good adaptation of the pacing rate to the physiological needs of the patient and easy personalization. However, its usefulness depends on the details of practical implementation such as the necessary hardware resources, programmability, accuracy and power consumption. This work presents a study of several possible implementations including ASIC chips designed specifically for this application as used as implementations in commercially available microprocessors
Author Zbigniew Jaworski (FEIT / MO)
Zbigniew Jaworski,,
- The Institute of Microelectronics and Optoelectronics
, Wiesław Kuźmicz (FEIT / MO)
Wiesław Kuźmicz,,
- The Institute of Microelectronics and Optoelectronics
, Marcin Sadowski (FEIT / MO)
Marcin Sadowski,,
- The Institute of Microelectronics and Optoelectronics
, Dariusz Sarna (FEIT / MO)
Dariusz Sarna,,
- The Institute of Microelectronics and Optoelectronics
, Andrzej Wałkanis (FEIT / MO)
Andrzej Wałkanis,,
- The Institute of Microelectronics and Optoelectronics
, Andrzej Wielgus (FEIT / MO)
Andrzej Wielgus,,
- The Institute of Microelectronics and Optoelectronics
, Adam Wojtasik (FEIT / MO)
Adam Wojtasik,,
- The Institute of Microelectronics and Optoelectronics
Pages475-478
Book Microtechnologies in Medicine and Biology, 1st Annual International, Conference On. 2000, 2000
Keywords in Englishapplication specific integrated circuits, biocontrol, commercially available microprocessors, controllers, Energy consumption, frequency, fuzzy control, fuzzy logic, fuzzy logic controllers, Fuzzy sets, Hardware, hardware resources, Heart Rate, microprocessors, Pacemakers, pacing rate adaptation, power consumption, programmability, rate-adaptive cardiac pacemakers, Very large scale integration, VLSI, VLSI implementations
DOIDOI:10.1109/MMB.2000.893829
Score (nominal)0
Publication indicators Scopus Citations = 5; WoS Citations = 1; GS Citations = 11.0
Citation count*11 (2020-09-02)
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