Updating ``Medical radar signal dataset for non-contact respiration and heart rate measurement' with expanded data on laboratory rats under isoflurane anesthesia

Autor: Guanghao Sun, Masaki Kurosawa, Yoshiki Ninomiya, Kohei Baba, Yutaka Kano
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Data in Brief, Vol 55, Iss , Pp 110722- (2024)
Druh dokumentu: article
ISSN: 2352-3409
DOI: 10.1016/j.dib.2024.110722
Popis: The dataset presented in this article is an update of the dataset provided by K. Edanami and G. Sun entitled “Medical Radar Signal Dataset for Non-Contact Respiration and Heart Rate Measurement” [1]. The new dataset includes radar signals and reference laser measurements from experiments conducted on anesthetized rats. The rats were placed in a prone position, and isoflurane was administered in varying concentrations to maintain anesthesia. A 24 GHz radar and laser sensor were positioned above the rats to capture the necessary data. The dataset contains time-stamped radar I and Q channel signals as well as laser measurements. Additionally, MATLAB code for signal visualization and FFT (fast Fourier transform)-based respiration rate estimation is provided. This comprehensive dataset and accompanying MATLAB code facilitate the advancement of non-invasive respiration measurement techniques in small animals, with potential applications in biomedical research.
Databáze: Directory of Open Access Journals