Evidence map›Paper›PMID 35029814›Full record

ArticleMedical & biological engineering & computing2022

A Novel Portable Real-Time Low-Cost Sleep Apnea Monitoring System based on the Global System for Mobile Communications (GSM) Network.

Harun Sümbül, Ahmet Hayrettin Yüzer, Kazım Şekeroğlu

Open access · bronzeAbstract read
In one paragraph

Article in Medical & biological engineering & computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Does Reflective Thinking Improve the Ability to Plan in Light and Heavy Drinkers? A Clinical-Experimental Model of Metacognition.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
  2. Comparative Accuracy of Millimeter-Wave Radar and Polysomnography in Sleep Apnea Detection.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
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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

3 authors at 3 institutions in 2 countries.

Harun SümbülYesilyurt D.C. Vocational School, Ondokuz Mayis University, Samsun, Turkey. harun.sumbul@omu.edu.tr.
Ahmet Hayrettin YüzerDepartment of Electrical and Electronics Engineering, Karabuk University, Karabuk, Turkey.
Kazım ŞekeroğluDepartment of Computer Science, Southeastern Louisiana University, Hammond, Louisiana, USA.
Karabük University · TROndokuz Mayıs University · TRSoutheastern Louisiana University · US

Funding

Ondokuz Mayis Üniversitesi PYO.YMY.1901.20.001
6 · The paper itself

Abstract

BACKGROUND AND

objectiveContinuous monitoring of breathing activity plays a vital role in the detection of respiratory-based diseases (SA, COPD, etc.). Sleep Apnea (SA) is characterized by recurrent upper airway obstruction during sleep associated with arterial blood desaturation, sympathetic nervous system activation, and cardiovascular impairment. Untreated patients with SA have increased mortality rates compared to the general population. This study aims to design a remote monitoring system for sleep apnea to ensure patient safety and ease the workload of doctors in the Covid-19 era.

methodsThis study aims to design a remote monitoring system for sleep apnea to ensure patient safety and ease the workload of doctors. Our study focuses on a novel portable real-time low-cost sleep apnea monitoring system utilizing the GSM network (GSM Shield Sim900a). Proposed system is a remote monitoring and patient tracking system to detect the apnea event in real time, and to provide information of the sleep position, pulse, and respiratory and oxygen saturation to the medical specialists (SpO

resultsA study group was formed of six patients for monitoring apnea events (three males and three females) between the ages of 20 and 60. The patients in the study group have sleep apnea (SA) in different grades. All the apnea events were detected, and all the patients were successfully alerted. Also, the patient parameters were successfully sent to all patient relatives. Patients who could not get out of apnea were called through the CALL feature, and they were informed about their ongoing apnea event and told that intervention was necessary. The proposed system is tested on six patients. The beginning moment of apnea was successfully detected and the SMS/CALL feature was successfully activated without delay. During the testing, it has been observed that while some of the patients start breathing after the first SMS, some others needed the second or the third SMS. According to the measurement result, the maximum breathless time is 46 s among the patients, and a SMS is sent every 15 s. In addition, in cases where the patient was breathless for a long time, the CALL feature was actively sought from the relatives of the patient and enabled him to intervene. The proposed monitoring system could be used in both clinical and home settings.

conclusionsThe monitoring of a patient in real time allows to intervene in any unexpected circumstances about the patient. The proposed work uses an acceleration sensor as a reliable method of the sleep apnea for monitoring and prevention. The developed device is more economical, comfortable, and convenient than existing systems not only for the patients but also for the doctors. The patients can easily use this device in their home environment, so which could yield a more comfortable, easy to use, cost-effective, and long-term breathing monitoring system for healthcare applications.

Indexed as

COVID-19Sleep Apnea SyndromesAdultFemaleHome EnvironmentHumansMaleMiddle AgedOxygen SaturationSARS-CoV-2SleepYoung AdultAcceleration sensorGSMSleep ApneaSMS/CALLWearable devices

Identifiers

PMID35029814
PMCPMC8759063
OpenAlexW4205791587

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Registered trials

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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.