Cuffless blood pressure estimation from electrocardiogram and photoplethysmogram using waveform based ANN-LSTM network

• Published in: Biomedical signal processing and control Vol. 51; pp. 382 - 392
• Main Authors: Tanveer, Md. Sayed, Hasan, Md. Kamrul
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.05.2019
• Subjects: Artificial neural network – long short term memory (ANN-LSTM); Continuous blood pressure; Electrocardiography (ECG); Photoplethysmography (PPG); Wearable biomedical computing; Artificial neural network – long short term memory (ANN-LSTM); Electrocardiography (ECG); Wearable biomedical computing; Continuous blood pressure; Photoplethysmography (PPG)

•A continuous and non-invasive method of blood pressure estimation from ECG and PPG signals is proposed.•A novel ANN-LSTM hierarchical neural network is proposed for continuous monitoring of BP.•The obtained results satisfy both AAMI and BHS standards of non- invasive continuous BP measurement.•The...