Literature DB >> 17186762

Contact-free measurement of heart rate, respiration rate, and body movements during sleep.

Mark Brink1, Christopher H Müller, Christoph Schierz.   

Abstract

We describe a noncontact method for the ambulant measurement of basic sleep physiology parameters in humans, particularly for field studies involving sleep research and sleep disturbances. This method traces the body movements, respiration, and heart action of a person at rest or asleep on a bed, using four high-resolution force sensors installed under the bedposts. The recoil movement of the body at each heartbeat, known as the cardioballistic effect, as well as the lifting and lowering of the thorax, while breathing, causes very small shifts o f the center of gravity of the bed andthe subject. These shifts arereflected in the altering forcedistributions across the four sensors. Cardiac and respiratory parameters and the subject's movement activity can be calculated from the sensor signals. Neither electrodes nor other kinds of transducers are in direct contact with the subject, which is the main advantage of this technique over conventional methods. Laboratory experiments were carried out to estimate validity and practicability. The method has been found to be adequate, especially for automated and unattended sleep-data collection over long periods of time.

Entities:  

Mesh:

Year:  2006        PMID: 17186762     DOI: 10.3758/bf03192806

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  14 in total

1.  Noncontact Pressure-Based Sleep/Wake Discrimination.

Authors:  Lorcan Walsh; Sean McLoone; Joseph Ronda; Jeanne F Duffy; Charles A Czeisler
Journal:  IEEE Trans Biomed Eng       Date:  2016-10-25       Impact factor: 4.538

2.  Classification of lying position using load cells under the bed.

Authors:  Zachary T Beattie; Chad C Hagen; Tamara L Hayes
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

3.  Classification of breathing events using load cells under the bed.

Authors:  Zachary T Beattie; Chad C Hagen; Misha Pavel; Tamara L Hayes
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

4.  A time-frequency respiration tracking system using non-contact bed sensors with harmonic artifact rejection.

Authors:  Zachary T Beattie; Peter G Jacobs; Thomas C Riley; Chad C Hagen
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015-08

5.  In-Home Sleep Apnea Severity Classification using Contact-free Load Cells and an AdaBoosted Decision Tree Algorithm.

Authors:  Clara Mosquera-Lopez; Joseph Leitschuh; John Condon; Chad C Hagen; Cody Hanks; Peter G Jacobs
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2018-07

6.  Accurate scoring of the apnea-hypopnea index using a simple non-contact breathing sensor.

Authors:  Zachary T Beattie; Tamara L Hayes; Christian Guilleminault; Chad C Hagen
Journal:  J Sleep Res       Date:  2013-01-31       Impact factor: 3.981

7.  Theory and developments in an unobtrusive cardiovascular system representation: ballistocardiography.

Authors:  Eduardo Pinheiro; Octavian Postolache; Pedro Girão
Journal:  Open Biomed Eng J       Date:  2010-10-10

8.  Contact-free Measurement of Heart Rate Variability via a Microwave Sensor.

Authors:  Guohua Lu; Fang Yang; Yue Tian; Xijing Jing; Jianqi Wang
Journal:  Sensors (Basel)       Date:  2009-11-30       Impact factor: 3.576

Review 9.  WHO Environmental Noise Guidelines for the European Region: A Systematic Review on Environmental Noise and Effects on Sleep.

Authors:  Mathias Basner; Sarah McGuire
Journal:  Int J Environ Res Public Health       Date:  2018-03-14       Impact factor: 3.390

10.  Design and Evaluation of a Non-ContactBed-Mounted Sensing Device for AutomatedIn-Home Detection of Obstructive Sleep Apnea:A Pilot Study.

Authors:  Clara Mosquera-Lopez; Joseph Leitschuh; John Condon; Chad C Hagen; Uma Rajhbeharrysingh; Cody Hanks; Peter G Jacobs
Journal:  Biosensors (Basel)       Date:  2019-07-22
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