Abstract Millimeter-wave (mmWave) radar is widely recognized as a critical tool for contactless, continuous human sensing across multiple scenarios. Yet, there is a lack of high-quality datasets with synchronized reference measurements, especially at higher frequencies, which are essential for advancing signal processing methods and improving the retrieval of vital parameters. To address this gap, we introduce a mmWave radar vital signal dataset collected with synchronized reference recordings. The dataset is derived from measurements acquired using a custom-built, noncommercial radar system developed by CommSensLab-UPC specifically for biomedical applications. The implemented Frequency-Modulated Continuous Wave (FMCW) radar system operates at 120 GHz within the industrial, scientific, and medical (ISM) band. In parallel, a monitoring system records reference physiological signals, including electrocardiograms, respiratory traces, pulse waveforms, and blood pressure values. Under a predefined protocol, a professional clinician collected data from 24 healthy subjects under two scenarios. The release of this dataset aims to facilitate the development and validation of advanced radar signal processing algorithms, thereby enhancing the contribution of radar technologies to hemodynamic monitoring and autonomic nervous system assessment.
Wu et al. (Fri,) studied this question.