demonstration

A virtual sleep laboratory

Authors:

Cheng Shi,

Mehrdad Nourani,

Gopal Gupta,

Lakshman TamilAuthors Info & Claims

mHealthSys '11: Proceedings of the First ACM Workshop on Mobile Systems, Applications, and Services for Healthcare

Article No.: 10, Pages 1 - 2

https://doi.org/10.1145/2064942.2064956

Published: 01 November 2011 Publication History

Get Access

Abstract

A virtual sleep laboratory capable of providing low cost and personalized sleep apnea monitoring using a smartphone has been demonstrated. This system can be used both at home and clinical care settings. This fully automated system derives sleep apnea information from ECG and/or oximeter and uses support vector machine classifiers to classify the events as apena or non-apnea episodes. The system has been tested using Physionet Apnea-ECG database and yields an accuracy close to 90% for both ECG and oximetry sensors. The system is a fully automated internet based system capable of supporting monitoring of hundreads of people at the same time and is being readied for a limited patient trial. This system will be demonstrated at the conference.

References

[1]

Bsoul, M. and Minn, H. and Tamil, L., "Apnea MedAssist: Real-time Sleep Apnea Monitor Using Single-Lead ECG," IEEE Transactions on Information Technology in Biomedicine, pp. 416--427, vol. 15, no. 3, 2011.

Digital Library

Google Scholar

[2]

Xie, B. and Qiu, W. and Minn, H. and Tamil, L. and Nourani, M., "An improved approach for real-time detection of sleep apnea," Int. Conf. on bio-ispired systems and Signal Proc., Rome, Italy, 2011.

Google Scholar

Cited By

View all

Martín-González SRavelo-García ANavarro-Mesa JHernández-Pérez E(2023)Combining Heart Rate Variability and Oximetry to Improve Apneic Event Screening in Non-Desaturating PatientsSensors10.3390/s2309426723:9(4267)Online publication date: 25-Apr-2023
https://doi.org/10.3390/s23094267
Pombo NGarcia NBousson K(2017)Classification techniques on computerized systems to predict and/or to detect ApneaComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2017.01.001140:C(265-274)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1016/j.cmpb.2017.01.001

Index Terms

A virtual sleep laboratory
1. Applied computing
  1. Computers in other domains
    1. Personal computers and PC applications
  2. Life and medical sciences
    1. Health care information systems

Recommendations

Pediatric sleep apnea: Characterization of apneic events and sleep stages using heart rate variability
Abstract
Heart rate variability (HRV) is modulated by sleep stages and apneic events. Previous studies in children compared classical HRV parameters during sleep stages between obstructive sleep apnea (OSA) and controls. However, HRV-based ...
Highlights
- Pediatric HRV segments were characterized, grouped by sleep stages and presence of apneic events.
- Increased presence of apneic events resulted in significant changes in HRV parameters inside NREM, and less marked in REM.
- The basal ...
Virtual Sleep Laboratory for Population Health
ICHI '15: Proceedings of the 2015 International Conference on Healthcare Informatics

Sleep apnea, a potentially serious sleep disorder affectsmore than 18 million Americans according to the NationalSleep Foundation. The symptoms are chronic snoring and day time sleeping. Since people with sleep apnea are sleepdeprived, they may suffer ...
Home Monitoring of Sleep Apnea Treatment: Benefits of Intelligent CPAP Devices
AT-EQUAL '09: Proceedings of the 2009 Advanced Technologies for Enhanced Quality of Life

Obstructive sleep apneea syndrome is highly prevalent in adult population and increases cardiovascular morbidity and mortality. Nasal continuous positive airway pressure (CPAP) remains the treatment of choice for obstructive sleep apnoea (OSA). ...

Comments

Information & Contributors

Information

Published In

mHealthSys '11: Proceedings of the First ACM Workshop on Mobile Systems, Applications, and Services for Healthcare

November 2011

48 pages

ISBN:9781450306843

DOI:10.1145/2064942

General Chair:
Raghu Ganti
IBM T. J. Watson Research Center
,
Program Chairs:
Santosh Kumar
U. Memphis
,
Kenneth Watkin
UIUC

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2011

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Demonstration

Conference

SenSys '11

Sponsor:

SenSys '11: The 9th ACM Conference on Embedded Network Sensor Systems

November 1, 2011

Washington, Seattle

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
132
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Martín-González SRavelo-García ANavarro-Mesa JHernández-Pérez E(2023)Combining Heart Rate Variability and Oximetry to Improve Apneic Event Screening in Non-Desaturating PatientsSensors10.3390/s2309426723:9(4267)Online publication date: 25-Apr-2023
https://doi.org/10.3390/s23094267
Pombo NGarcia NBousson K(2017)Classification techniques on computerized systems to predict and/or to detect ApneaComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2017.01.001140:C(265-274)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1016/j.cmpb.2017.01.001

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Pediatric sleep apnea: Characterization of apneic events and sleep stages using heart rate variability

Virtual Sleep Laboratory for Population Health

Home Monitoring of Sleep Apnea Treatment: Benefits of Intelligent CPAP Devices

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations