A 48.6-to-105.2 μw machine learning assisted cardiac sensor SoC for mobile healthcare applications

IEEE Journal of Solid-State Circuits

Volumn 49, Issue 4, 2014, Pages 801-811

  Hsu, Shu Yu ^a   Ho, Yingchieh ^b   Chang, Po Yao ^a   Su, Chauchin ^a   Lee, Chen Yi ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b NATIONAL DONG HWA UNIVERSITY   (Taiwan)

Author keywords

Arrhythmia; biomedical signal processor; classification; ECG; feature extraction; machine learning; myocardial infarction; VCG

Indexed keywords

CLASSIFICATION (OF INFORMATION); CMOS INTEGRATED CIRCUITS; ELECTROCARDIOGRAPHY; FEATURE EXTRACTION; HEALTH CARE; LEARNING SYSTEMS; SENSORS; SIGNAL PROCESSING;

ARRHYTHMIA; BIOMEDICAL SIGNAL; HEALTHCARE MONITORING; HETEROGENEOUS ARCHITECTURES; LEAKAGE POWER DISSIPATIONS; MYOCARDIAL INFARCTION; STANDARD CMOS TECHNOLOGY; VCG;

PROGRAMMABLE LOGIC CONTROLLERS;

EID: 84897519422     PISSN: 00189200     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSSC.2013.2297406     Document Type: Article

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