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Medical Radar Signal Dataset for Non-Contact Respiration and Heart Rate Measurement.
Edanami, Keisuke; Sun, Guanghao.
Afiliação
  • Edanami K; Graduate School of Informatics and Engineering, The University of Electro-Communications, Japan.
  • Sun G; Graduate School of Informatics and Engineering, The University of Electro-Communications, Japan.
Data Brief ; 40: 107724, 2022 Feb.
Article em En | MEDLINE | ID: mdl-34977303
ABSTRACT
Medical radars remotely measure the periodic movements of the chest wall induced by breathing and heartbeat and have been widely recognized in healthcare. To the best of our knowledge, no well-characterized medical radar datasets are shared publicly. Therefore, in this article, we provide non-contact respiratory and cardiac signal datasets measured using a medical radar and simultaneously measured reference signals using electrocardiogram (ECG) and respiratory belt transducer. The datasets were collected from nine healthy subjects using 24.25 GHz and 10.525 GHz Doppler radars at a physiological laboratory in Japan. Furthermore, we generated MATLAB code to pre-process the signals and calculate the respiratory and heart rates. The datasets generated could be reused by biomedical researchers to investigate the signal-processing algorithm for non-contact vital sign measurement.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article