ArticleData in brief2024
Updating ``Medical radar signal dataset for non-contact respiration and heart rate measurement" with expanded data on laboratory rats under isoflurane anesthesia.
Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Sex and age estimation from cardiac signals captured via radar using data augmentation and deep learning: a privacy concern.Frontiers in digital health · 2025Article
- Contactless monitoring of respiratory rate variability in rats under anesthesia with a compact 24GHz microwave radar sensor.Frontiers in veterinary science · 2025Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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