ECG waveform generation from radar signals: A deep learning perspective

Cardiovascular diagnostics relies heavily on the ECG (ECG), which reveals significant information about heart rhythm and function. Despite their significance, traditional ECG measures employing electrodes have limitations. As a result of extended electrode attachments, patients may experience skin i...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Computers in biology and medicine 2024-06, Vol.176, p.108555, Article 108555
Hauptverfasser:	Chowdhury, Farhana Ahmed, Hosain, Md Kamal, Bin Islam, Md Sakib, Hossain, Md Shafayet, Basak, Promit, Mahmud, Sakib, Murugappan, M., Chowdhury, Muhammad E.H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Apnea Artificial neural networks Biosensors CNN Datasets Deep Learning Doppler radar ECG EKG Electrocardiography Electrocardiography - methods Electrodes Heart Heart rate Humans Irritation Machine learning Methods Monitoring MultiResLinkNet Neural networks Parkinson's disease Patients Physiology Proteins Radar Radar data Radar systems Raw radar data Respiration Risk groups Sensors Signal generation Signal Processing, Computer-Assisted Signal to noise ratio Spectral correlation Telemedicine Waveforms Wavelet transforms Wearable technology
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!