Machine learning for healthcare radars: Recent progresses in human vital sign measurement and activity recognition

S Ahmed, SH Cho - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The unprecedented non-contact, non-invasive, and privacy-preserving nature of radar
sensors has enabled various healthcare applications, including vital sign monitoring, fall …

Machine learning in radar-based physiological signals sensing: a sco** review of the models, datasets and metrics

A Nocera, L Senigagliesi, M Raimondi… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

T-HSER: Transformer Network Enabling Heart Sound Envelope Signal Reconstruction Based on Low Sampling Rate Millimeter Wave Radar

H Zhao, Y Ma, Y Han, C Tian… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The four stages (first heart sound (S1), systole, second heart sound (S2), and diastole) of
heartbeat sounds recorded by contact seismocardiogram (SCG) reflect the health of the …

Lightweight micro-motion gesture recognition based on MIMO millimeter wave radar using Bidirectional-GRU network

Y Zhao, Y Song, L Wu, P Liu, R Lv, H Ullah - Neural Computing and …, 2023 - Springer
Non-contact gesture recognition is a novel form of human–computer interaction. It has broad
prospects in many applications, such as Augmented Reality/Virtual Reality, smart homes …

MN-UIV: Multimodal Neural Network Enabling User Identity Verification Based On Millimeter Wave Radar

H Zhao, Y Ma, X Wang - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Basic life activities of the human body can be classified as either static or dynamic. Millimeter
wave radars can monitor physiological signals in the static state and posture in the dynamic …

A Survey on Human Behavior Recognition Applications Using Frequency Modulated Continuous Wave Radar

Z Wang, X Li, F Liu, M Ma, X Feng, Y Guo - Proceedings of the 2022 10th …, 2022 - dl.acm.org
Frequency modulated continuous wave (FMCW) radar is widely studied in automotive,
medicine, communication, and other fields due to its small size, high precision, and high …

Millimeter Wave Radar Calibration for Heart Rate Estimation using Bayesian Neural Networks

F Parralejo, JA Paredes, FJ Aranda… - … Conference on Omni …, 2023 - ieeexplore.ieee.org
Human monitoring for better life quality, especially for elderly population, is one of the main
concerns in today's research. The estimation of vital signs is an active field of study, and …

[PDF][PDF] Radar Vital Signs Detection by Using Optimized CNN+ GRU Model

U Özkaya - 2023 - scholar.archive.org
Wearable devices may have significant disadvantages compared to non-contact sensors. In
addition, heart and respiratory rate information may be insufficient for expert evaluation …

Heart rate estimation algorithm for radar signals based on wavelet threshold noise reduction and Resnet50

Y **ang, J Guo, Y Chen, K Yin, S Sun… - 2023 35th Chinese …, 2023 - ieeexplore.ieee.org
Non-contact heart rate monitoring techniques based on millimeter wave radar have
advantages in medical scenarios. However, the accuracy of existing heart rate estimation …

Diseño e implementación de un detector de frecuencia cardiaca y respiratoria utilizando un sensor de banda milimétrica (mmWave)

FA Quevedo Gutierrez - repositorio.unal.edu.co
Este trabajo detalla el diseño e implementación de un dispositivo capaz de capturar signos
vitales de manera inalámbrica, como la frecuencia cardiaca y respiratoria mediante la …