Literature DB >> 25486649

A home sleep apnea screening device with time-domain signal processing and autonomous scoring capability.

Jiayi Jin, Edgar Sánchez-Sinencio.   

Abstract

Current solutions of sleep apnea diagnosis require the patient to undergo overnight studies at a specialized sleep laboratory. Due to such inconvenience and high cost, millions of sleep apnea patients remain undiagnosed and thus untreated. Based on a micro-electro-mechanical systems (MEMS) sensor and an effective apnea detection algorithm, we propose a low-cost single-channel apnea screening solution applicable in the comfort of patients' homes. A prototype device was designed and assembled including a MEMS sensor for measuring the patient's nasal air flows, and a time-domain signal processing IC for apnea detection and autonomous scoring. The IC chip was fabricated in standard 0.5- μm CMOS technology. The proposed device was tested for both respiratory rhythm detection and sleep apnea screening under clinical environment. Apnea-hypopnea indices (AHI) were scored to indicate severity of sleep apnea conditions. Test results suggest that the proposed device can be a valuable screening solution for the broader public with undiagnosed apnea conditions.

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Mesh:

Year:  2014        PMID: 25486649     DOI: 10.1109/TBCAS.2014.2314301

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  6 in total

1.  Improving Sleep Quality Assessment Using Wearable Sensors by Including Information From Postural/Sleep Position Changes and Body Acceleration: A Comparison of Chest-Worn Sensors, Wrist Actigraphy, and Polysomnography.

Authors:  Javad Razjouyan; Hyoki Lee; Sairam Parthasarathy; Jane Mohler; Amir Sharafkhaneh; Bijan Najafi
Journal:  J Clin Sleep Med       Date:  2017-11-15       Impact factor: 4.062

2.  Contact and Remote Breathing Rate Monitoring Techniques: A Review.

Authors:  Mohamed Ali; Ali Elsayed; Arnaldo Mendez; Yvon Savaria; Mohamad Sawan
Journal:  IEEE Sens J       Date:  2021-04-12       Impact factor: 4.325

3.  Fusion of Whole Night Features and Desaturation Segments Combined with Feature Extraction for Event-Level Screening of Sleep-Disordered Breathing.

Authors:  Ruhan Liu; Chenyang Li; Huajun Xu; Kejia Wu; Xinyi Li; Yupu Liu; Jie Yuan; Lili Meng; Jianyin Zou; Weijun Huang; Hongliang Yi; Bin Sheng; Jian Guan; Shankai Yin
Journal:  Nat Sci Sleep       Date:  2022-05-17

Review 4.  A Review on Detection and Treatment Methods of Sleep Apnea.

Authors:  Rajeswari Jayaraj; Jagannath Mohan; Adalarasu Kanagasabai
Journal:  J Clin Diagn Res       Date:  2017-03-01

5.  Assessing the severity of sleep apnea syndrome based on ballistocardiogram.

Authors:  Zhu Wang; Xingshe Zhou; Weichao Zhao; Fan Liu; Hongbo Ni; Zhiwen Yu
Journal:  PLoS One       Date:  2017-04-26       Impact factor: 3.240

6.  Development of an IoT-Based Sleep Apnea Monitoring System for Healthcare Applications.

Authors:  Abdur Rab Dhruba; Kazi Nabiul Alam; Md Shakib Khan; Sami Bourouis; Mohammad Monirujjaman Khan
Journal:  Comput Math Methods Med       Date:  2021-11-03       Impact factor: 2.238

  6 in total

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