Results 101 to 110 of about 24,907 (232)
Estimation of respiratory rate (RR) from photoplethysmography (PPG) signals has important applications in the healthcare sector, from assisting doctors onwards to monitoring patients in their own homes. The problem is still very challenging, particularly
Delaram Jarchi +6 more
doaj +1 more source
ABSTRACT Aim To synthesise evidence on wearable devices for continuous vital signs monitoring in adult hospital inpatients, focusing on clinical effectiveness, nursing perspectives, workflow impact, patient experience and resource implications. Design Scoping review.
Sian Myfanwy Shaw +2 more
wiley +1 more source
A perspective on automated rapid eye movement sleep assessment
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley +1 more source
MULTIWAVELENGTH PHOTOPLETHYSMOGRAPHY SYSTEM
Photoplethysmography (PPG) is a promising technology for assessing the cardiovascular system's condition due to its ability to analyze changes in blood volume within the microvascular bed. Beyond standard parameters such as heart rate and blood oxygen saturation, the pulse wave shape in PPG signals contains additional valuable information that can be ...
Dmytro Velyhotskyi +2 more
openaire +3 more sources
Summary The autonomic nervous system regulates cardiovascular activity during sleep, likely impacting cardiovascular health. Aging, a primary cardiovascular risk factor, is associated with cardiac autonomic disbalance and diminished sleep slow waves. Therefore, slow waves may be linked to aging, autonomic activity and cardiovascular health. However, it
Stephanie Huwiler +5 more
wiley +1 more source
Photoplethysmography (PPG)-based heart rate variability (HRV) offers a cost-effective alternative to electrocardiography (ECG) for autonomic monitoring in wearable devices. We optimized signal processing on a 16-bit microcontroller by comparing 4th-order
Nagima Abdrasulova +3 more
doaj +1 more source
Heart rate variability (HRV) is commonly used to assess autonomic functions and responses to environmental stimuli. It is usually derived from electrocardiographic signals; however, in the last few years, photoplethysmography has been successfully used ...
Basilio Vescio +3 more
doaj +1 more source
Profiling the sleep architecture of ageing adults using a seven‐state continuous‐time Markov model
Summary Sleep is a complex biological process regulated by networks of neurons and environmental factors. As one falls asleep, neurotransmitters from sleep–wake regulating neurones work in synergy to control the switching of different sleep states throughout the night. As sleep disorders or underlying neuropathology can manifest as irregular switching,
Jonathon Jacobs +3 more
wiley +1 more source
Using Photoplethysmogram (PPG) signals for identity recognition has been proven effective in biometric authentication. However, in real-world applications, PPG signals are prone to interference from noise, physical activity, diseases, and other factors ...
Yuanyuan Xu, Zhi Wang, Xiaochang Liu
doaj +1 more source
Optical Fibre-Based Pulse Oximetry Sensor with Contact Force Detection
A novel optical sensor probe combining monitoring of blood oxygen saturation (SpO2) with contact pressure is presented. This is beneficial as contact pressure is known to affect SpO2 measurement.
Chong Liu +5 more
doaj +1 more source

