Evidence map›Paper›PMID 37300078›Full record

ArticleSensors (Basel, Switzerland)2023

Monitoring of Cardiorespiratory Parameters during Sleep Using a Special Holder for the Accelerometer Sensor.

Andrei Boiko, Maksym Gaiduk, Wilhelm Daniel Scherz, Andrea Gentili, Massimo Conti, Simone Orcioni, Natividad Martínez Madrid, Ralf Seepold

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Andrei BoikoUbiquitous Computing Lab, Department of Computer Science, HTWG Konstanz-University of Applied Sciences, 78462 Konstanz, Germany.ORCID 0000-0002-6683-8485
Maksym GaidukUbiquitous Computing Lab, Department of Computer Science, HTWG Konstanz-University of Applied Sciences, 78462 Konstanz, Germany.ORCID 0000-0001-9607-5709
Wilhelm Daniel ScherzUbiquitous Computing Lab, Department of Computer Science, HTWG Konstanz-University of Applied Sciences, 78462 Konstanz, Germany.ORCID 0000-0002-5435-2349
Andrea GentiliDipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0000-0003-2922-5177
Massimo ContiDipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0000-0002-7622-0857
Simone OrcioniDipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0000-0003-2526-6422
Natividad Martínez MadridSchool of Informatics, Reutlingen University, 72762 Reutlingen, Germany.ORCID 0000-0003-1965-9481
Ralf SeepoldUbiquitous Computing Lab, Department of Computer Science, HTWG Konstanz-University of Applied Sciences, 78462 Konstanz, Germany.ORCID 0000-0002-5192-2537
HTWG Hochschule Konstanz - Technik, Wirtschaft und Gestaltung · DEMarche Polytechnic University · ITReutlingen University · DE

Funding

Carl Zeiss Foundation P2019-03-003
6 · The paper itself

Abstract

Sleep is extremely important for physical and mental health. Although polysomnography is an established approach in sleep analysis, it is quite intrusive and expensive. Consequently, developing a non-invasive and non-intrusive home sleep monitoring system with minimal influence on patients, that can reliably and accurately measure cardiorespiratory parameters, is of great interest. The aim of this study is to validate a non-invasive and unobtrusive cardiorespiratory parameter monitoring system based on an accelerometer sensor. This system includes a special holder to install the system under the bed mattress. The additional aim is to determine the optimum relative system position (in relation to the subject) at which the most accurate and precise values of measured parameters could be achieved. The data were collected from 23 subjects (13 males and 10 females). The obtained ballistocardiogram signal was sequentially processed using a sixth-order Butterworth bandpass filter and a moving average filter. As a result, an average error (compared to reference values) of 2.24 beats per minute for heart rate and 1.52 breaths per minute for respiratory rate was achieved, regardless of the subject's sleep position. For males and females, the errors were 2.28 bpm and 2.19 bpm for heart rate and 1.41 rpm and 1.30 rpm for respiratory rate. We determined that placing the sensor and system at chest level is the preferred configuration for cardiorespiratory measurement. Further studies of the system's performance in larger groups of subjects are required, despite the promising results of the current tests in healthy subjects.

Indexed as

Signal Processing, Computer-AssistedSleepAccelerometryFemaleHeart RateHumansMalePolysomnographyRespiratory Rateaccelerometerballistocardiographycontactless measurementhealth monitoringheart raterespiratory ratesleep monitoringvital signals

Identifiers

PMID37300078
PMCPMC10256009
OpenAlexW4379538072

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.