Results 51 to 60 of about 3,213 (196)

BioInsights: Extracting personal data from "Still" wearable motion sensors [PDF]

, 2015
During recent years a large variety of wearable devices have become commercially available. As these devices are in close contact with the body, they have the potential to capture sensitive and unexpected personal data even when the wearer is not moving.
Hernandez Rivera, Javier, McDuff, Daniel Jonathan, Picard, Rosalind W.   +2 more
core   +1 more source

Statistical Analysis of the Consistency of HRV Analysis Using BCG or Pulse Wave Signals

Sensors, 2022
Ballistocardiography (BCG) is considered a good alternative to HRV analysis with its non-contact and unobtrusive acquisition characteristics. However, consensus about its validity has not yet been established. In this study, 50 healthy subjects (26.2 ± 5.
Huiying Cui, Zhongyi Wang, Bin Yu, Fangfang Jiang, Ning Geng, Yongchun Li, Lisheng Xu, Dingchang Zheng, Biyong Zhang, Peilin Lu, Stephen E. Greenwald   +10 more
doaj   +1 more source

Feasibility of Heart Rate and Respiratory Rate Estimation by Inertial Sensors Embedded in a Virtual Reality Headset

Sensors, 2020
Virtual reality (VR) headsets, with embedded micro-electromechanical systems, have the potential to assess the mechanical heart’s functionality and respiratory activity in a non-intrusive way and without additional sensors by utilizing the ...
Claudia Floris, Sarah Solbiati, Federica Landreani, Gianfranco Damato, Bruno Lenzi, Valentino Megale, Enrico Gianluca Caiani   +6 more
doaj   +1 more source

Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters

Sensors, 2020
Background: The goal of this work was to create a sharable dataset of heart-driven signals, including ballistocardiograms (BCGs) and time-aligned electrocardiograms (ECGs), photoplethysmograms (PPGs), and blood pressure waveforms.
Charles Carlson, Vanessa-Rose Turpin, Ahmad Suliman, Carl Ade, Steve Warren, David E. Thompson   +5 more
doaj   +1 more source

Combining Physiology-Based Modeling and Evolutionary Algorithms for Personalized, Noninvasive Cardiovascular Assessment Based on Electrocardiography and Ballistocardiography

Frontiers in Physiology, 2022
Purpose: This study proposes a novel approach to obtain personalized estimates of cardiovascular parameters by combining (i) electrocardiography and ballistocardiography for noninvasive cardiovascular monitoring, (ii) a physiology-based mathematical ...
Nicholas Mattia Marazzi, Giovanna Guidoboni, Giovanna Guidoboni, Mohamed Zaid, Lorenzo Sala, Salman Ahmad, Laurel Despins, Mihail Popescu, Marjorie Skubic, James Keller   +9 more
doaj   +1 more source

Non-Invasive Detection of Respiration and Heart Rate with a Vehicle Seat Sensor

Sensors, 2018
This study demonstrates the feasibility of using a seat sensor designed for occupant classification from a production passenger vehicle to measure an occupant’s respiration rate (RR) and heart rate (HR) in a laboratory setting.
Grace Wusk, Hampton Gabler
doaj   +1 more source

BioGlass: Physiological Parameter Estimation Using a Head-mounted Wearable Device [PDF]

, 2014
This work explores the feasibility of using sensors embedded in Google Glass, a head-mounted wearable device, to measure physiological signals of the wearer.
Hernandez Rivera, Javier, Li, Yin, Rehg, James M.   +2 more
core   +1 more source

Closed-Loop Multiscale Computational Model of Human Blood Circulation. Applications to Ballistocardiography

Frontiers in Physiology, 2021
Cardiac mechanical activity leads to periodic changes in the distribution of blood throughout the body, which causes micro-oscillations of the body’s center of mass and can be measured by ballistocardiography (BCG).
Jeremy Rabineau, Jeremy Rabineau, Antoine Nonclercq, Tim Leiner, Philippe van de Borne, Pierre-Francois Migeotte, Benoit Haut   +6 more
doaj   +1 more source

Heart Beat Characterization from Ballistocardiogram Signals using Extended Functions of Multiple Instances

, 2016
A multiple instance learning (MIL) method, extended Function of Multiple Instances ($e$FUMI), is applied to ballistocardiogram (BCG) signals produced by a hydraulic bed sensor.
Jiao, Changzhe, Lyons, Princess, Rosales, Licet, Skubic, Marjorie, Zare, Alina   +4 more
core   +1 more source

Unobtrusive Estimation of Cardiovascular Parameters with Limb Ballistocardiography

Sensors, 2019
This study investigates the potential of the limb ballistocardiogram (BCG) for unobtrusive estimation of cardiovascular (CV) parameters. In conjunction with the reference CV parameters (including diastolic, pulse, and systolic pressures, stroke volume ...
Yang Yao, Sungtae Shin, Azin Mousavi, Chang-Sei Kim, Lisheng Xu, Ramakrishna Mukkamala, Jin-Oh Hahn   +6 more
doaj   +1 more source