Vision Transformer and NeoPulseNet: A Dual Approach for Accurate rPPG Signal Extraction in Neonates.

Non-contact heart rate (HR) monitoring via camera offers a safer alternative to traditional wired methods in neonates. The first step in this process is accurate segmentation of skin pixels on the neonate's face, which poses challenges due to interference from caregivers' skin. To address this, we employed a vision transformer trained specifically on our neonatal dataset.

Enhancing Non-Contact Heart Rate Monitoring: An Intelligent Multi-ROI Approach with Face Masking and CNN-Based Feature Adaptation.

Heart rate (HR) estimation from facial video streams has emerged in the recent years as a promising method of unobtrusive vitals monitoring. Conventional non-contact HR monitoring algorithms like POS, CHROM, ICA are often applied to a single region of interest (ROI), typically the forehead. However, this approach has a lot of disadvantages, such as not utilizing other facial regions, poor tolerance to movement of the subject or face.

PhysioSens1D-NET: A 1D Convolution Network for Extracting Heart Rate from Facial Videos.

Non-contact heart rate (HR) monitoring from video streams is the most established approach to unobtrusive vitals monitoring. A multitude of classical signal processing algorithms and cutting-edge deep learning models have been developed for non-contact HR extraction. Classical signal processing algorithms excel in real-time application, even on low-end CPUs, while deep learning models offer higher accuracy at the cost of computational complexity.

Face-Free Chest Detection Using Convolutional Neural Networks for Non-Contact Respiration Monitoring.

Non-contact methods for monitoring respiration face limitations when it comes to selecting the chest region of interest. The semi-automatic method, which requires the user to select the chest region in the first frame, is not suitable for real-time applications. The automatic method, which tracks the face first and then detects the chest region based on the face's position, can be inaccurate if the face is not visible or is rotated.