title: [Recognition of heart rate variability signal using fuzzy associative memory pattern classifier].
abstract: We have designed the fuzzy associative memory pattern classifier (FAMPC) using multi-input and multi-output fuzzy set. It is adaptive to recognition of heart rate variability (HRV) signal, validity proved by many experiments.
authors.affiliation: Department of Electronics and Information, Guangdong AIB Polytechnic College, Guangzhou 510507, China.
authors.forename: Junwen
authors.initials: J
authors.lastname: Gao
mesh_terms: D004562:Electrocardiography / Q000379:methods*; D017143:Fuzzy Logic; D006339:Heart Rate; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods; D012815:Signal Processing, Computer-Assisted