The paper deals with the accurate evaluation of the Blood pressure (BP) by an Artificial Neural Network (ANN) and the Photoplethysmogram (PPG) signal. The proposed method allows evaluating the blood pressure for each heart beat, without using a cuff or invasive tool. For each heart beat, a fixed number of features, which characterize the PPG pulse, are extracted and given as the input to the ANN. A systolic, diastolic and mean BP are obtained as the output. The improvement of the BP evaluation accuracy is obtained by removing artifacts from the references used to train the ANN. The filtering of the reference inputs is performed with Kalman based filter in order to take into account the variability of the human pulse rate and cardiovascular system. Preliminary experimental results confirm the suitability of the proposal and asses the BP evaluation accuracy within 5±8 mmHg.

Photoplethysmogram-based Blood Pressure Evaluation using Kalman Filtering and Neural Networks

Lamonaca F;
2013

Abstract

The paper deals with the accurate evaluation of the Blood pressure (BP) by an Artificial Neural Network (ANN) and the Photoplethysmogram (PPG) signal. The proposed method allows evaluating the blood pressure for each heart beat, without using a cuff or invasive tool. For each heart beat, a fixed number of features, which characterize the PPG pulse, are extracted and given as the input to the ANN. A systolic, diastolic and mean BP are obtained as the output. The improvement of the BP evaluation accuracy is obtained by removing artifacts from the references used to train the ANN. The filtering of the reference inputs is performed with Kalman based filter in order to take into account the variability of the human pulse rate and cardiovascular system. Preliminary experimental results confirm the suitability of the proposal and asses the BP evaluation accuracy within 5±8 mmHg.
978-146735196-6
Measurement
Arterial Blood Pressure evaluation
Kalman-filteringPhotoplethysmogram
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.11770/314617
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 20
  • ???jsp.display-item.citation.isi??? 15
social impact