Results 61 to 70 of about 3,213 (196)

Unobtrusive Online Monitoring of Sleep at Home [PDF]

open access: yes, 2012
Peer ...
Leppäkorpi, Lasse   +4 more
core   +1 more source

Estimating Carotid Pulse and Breathing Rate from Near-infrared Video of the Neck

open access: yes, 2018
Objective: Non-contact physiological measurement is a growing research area that allows capturing vital signs such as heart rate (HR) and breathing rate (BR) comfortably and unobtrusively with remote devices.
Chen, Weixuan   +2 more
core   +1 more source

Bed-Based Ballistocardiography System Using Flexible RFID Sensors for Noninvasive Single- and Dual-Subject Vital Signs Monitoring

open access: yesIEEE Transactions on Instrumentation and Measurement
This work presents an innovative approach employing passive radio frequency identification (RFID) technology to develop a comprehensive ballistocardiography (BCG) system for contactless and noninvasive vital sign monitoring of individuals on a mattress ...
P. Escobedo   +5 more
semanticscholar   +1 more source

Evaluation of a Commercial Ballistocardiography Sensor for Sleep Apnea Screening and Sleep Monitoring

open access: yesSensors, 2019
There exists a technological momentum towards the development of unobtrusive, simple, and reliable systems for long-term sleep monitoring. An off-the-shelf commercial pressure sensor meeting these requirements is the Emfit QS.
Dorien Huysmans   +6 more
doaj   +1 more source

Use of Ballistocardiography to Monitor Cardiovascular Hemodynamics in Preeclampsia

open access: yesWomen's Health Reports, 2021
Objective: Pregnancy requires a complex physiological adaptation of the maternal cardiovascular system, which is disrupted in women with pregnancies complicated by preeclampsia, putting them at higher risk of future cardiovascular events. The measurement
Odayme Quesada   +10 more
doaj   +1 more source

Advances in cardiac devices and bioelectronics augmented with artificial intelligence

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Interfaces between the human heart, diagnostic bioelectronics, artificial intelligence, and clinical care. From left to right: Human heart and biosensor interface; representative waveforms of common diagnostic bioelectronic sensing modalities.
Charles Stark   +3 more
wiley   +1 more source

Contactless continuous heart rate monitoring system using ballistocardiography.

open access: yesPLoS ONE, 2022
Cardiovascular disease is the number one cause of death in the world and is a serious problem. In the case of cardiopulmonary arrest due to myocardial infarction, the survival rate is as low as 13.3% one month after resuscitation, which birthed the need ...
Brian Sumali   +2 more
doaj   +1 more source

Smart Textile Systems for Loneliness Monitoring in Older People Care: A Review of Sensing and Design Innovations

open access: yesAdvanced Electronic Materials, Volume 11, Issue 16, October 6, 2025.
This review explores the potential of smart textile systems for monitoring loneliness in older adults. It presents key behavioral and physiological indicators of loneliness and evaluates recent sensing and design innovations in smart textile technology. The study identifies challenges and outlines opportunities for developing user‐centered, comfortable
Yi Zhou   +12 more
wiley   +1 more source

The Application of a Piezo-Resistive Cardiorespiratory Sensor System in an Automobile Safety Belt

open access: yesSensors, 2015
Respiratory and heart failure are conditions that can occur with little warning and may also be difficult to predict. Therefore continuous monitoring of these bio-signals is advantageous for ensuring human health. The car safety belt is mainly designed
Syed Talha Ali Hamdani, Anura Fernando
doaj   +1 more source

Contactless longitudinal monitoring in the home characterizes aging and Alzheimer's disease–related night‐time behavior and physiology

open access: yesAlzheimer's &Dementia, Volume 21, Issue 10, October 2025.
Abstract INTRODUCTION Disturbed sleep patterns are common in dementia but have not been objectively quantified over long periods. METHODS We compared a cohort of 83 Alzheimer's disease (AD) patients to 13,588 individuals from the general population. Sleep patterns, heart rate, and breathing rate data were acquired using a zero‐burden contactless, under‐
Eyal Soreq   +18 more
wiley   +1 more source

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