Evaluation of the number of PPG harmonics to assess Smartphone effectiveness

IEEE MeMeA 2014 - IEEE International Symposium on Medical Measurements and Applications, Proceedings

Volumn , Issue , 2014, Pages

  Polimeni, Giuseppe ^a,b   Scarpino, Alfonso ^a   Barbé, Kurt ^b   Lamonaca, Francesco ^a   Grimaldi, Domenico ^a  

^a UNIVERSITY OF CALABRIA   (Italy)

^b VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

Author keywords

Bio signal processing; Blood pressure measurement; Neural network; Photoplethysmography; Signal feature extraction

Indexed keywords

BLOOD PRESSURE; FEATURE EXTRACTION; NEURAL NETWORKS; PHOTOPLETHYSMOGRAPHY; SMARTPHONES;

BIO-SIGNAL PROCESSING; FRAMES PER SECONDS; PERSONALIZED HEALTHCARE; PHOTOPLETHYSMOGRAPHY (PPG); SAMPLING FREQUENCIES; SIGNAL ACQUISITIONS; SIGNAL FEATURES; SMART-PHONE CAMERAS;

SIGNAL ENCODING;

EID: 84906902024     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MeMeA.2014.6860101     Document Type: Conference Paper

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