Advances in wearable respiration sensors
Respiration is a vital function of the human body that can provide valuable information about
an individual's health through many physiological signals, including respiration rate and the …
an individual's health through many physiological signals, including respiration rate and the …
HeRe: Heartbeat signal reconstruction for low-power millimeter-wave radar based on deep learning
H Wang, F Du, H Zhu, Z Zhang, Y Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The noncontact monitoring of vital signs without body-attached sensors is a promising home
healthcare technique. Recent studies have shown that millimeter-wave (mmW) radar can be …
healthcare technique. Recent studies have shown that millimeter-wave (mmW) radar can be …
Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing
Radar sensors offer power-efficient solutions for always-on smart devices, but processing
the data streams on resource-constrained embedded platforms remains challenging. This …
the data streams on resource-constrained embedded platforms remains challenging. This …
Walking pattern identification of FMCW radar data based on a combined CNN and bi-LSTM approach
Automotive radars could have a pivotal role in human-machine interfaces thanks to their
ability to monitor human activity and physiological state in a contactless way. Nowadays …
ability to monitor human activity and physiological state in a contactless way. Nowadays …
Machine Learning in RADAR-based Physiological Signals Sensing: A Scoping Review of the Models, Datasets and Metrics
In the field of physiological signals monitoring and its applications, non-contact technology is
often proposed as a possible alternative to traditional contact devices. The ability to extract …
often proposed as a possible alternative to traditional contact devices. The ability to extract …