Embedded realization of a real time Heart Rate Variability logger for at-home sleep studies

B. Banu Rekha, A. Kandaswamy, V. Mathu Mitha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sleep has no substitute and quality of sleep is a major concern for healthy living of human beings. Sleep breathing disorders are events characterized by pauses of breathing during sleep. Sleep breathing disorders like Obstructive Sleep Apnea (OSA) may result in cardiac disorders and fatalities. Though Polysomnography is considered as the gold standard for conducting sleep studies, current research directs that the trend of Heart Rate Variability (HRV) during sleep is indicative of sleep breathing disorder. Hence, reliable HRV recorders with ease of use may contribute to early screening of these disorders. This paper reports the prototype development of an embedded system for logging HRV during sleep for screening during sleep. The system is built with open source Arduino platform consisting of an ATMEGA328 microcontroller along with a provision for storage on a Secure-Digital card. 'R' peak detection is carried out using a combination of dynamic threshold and amplitude threshold. The logger is able to work on two modes: (1) plain, long duration logger and (2) HRV Logger. The estimated duration of logging is 72 hours with a +9 V battery supply. The system performance is compared with a commercially available Electrocardiogram (ECG) recorder system and a MATLAB based R peak detection system with real time recordings of 30 healthy adults. The system code is optimized to achieve a logging time of 6.25 milliseconds per sample and 0.98 seconds for each 'R' peak detection and storage. The proposed system was also tested with Sleep ECG samples from Physionet database and it achieved a maximum sensitivity of 97.7% and specificity of 95.56%. The maximum recorded percentage error of detection was 2%. The results indicate that the proposed system and software design can be developed as a compact, economical and portable device for early detection of sleep breathing disorders.

Original languageEnglish
Title of host publication2015 IEEE Workshop on Computational Intelligence
Subtitle of host publicationTheories, Applications and Future Directions, WCI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467382151
DOIs
Publication statusPublished - 20-06-2016
Externally publishedYes
Event2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions, WCI 2015 - Kanpur, India
Duration: 14-12-201517-12-2015

Conference

Conference2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions, WCI 2015
CountryIndia
CityKanpur
Period14-12-1517-12-15

Fingerprint

Heart Rate Variability
Sleep
Disorder
Electrocardiography
Screening
Microcontroller
Software Design
Software design
Microcontrollers
Substitute
Embedded systems
Gold
Embedded Systems
Open Source
Battery
Cardiac
MATLAB
Specificity
System Design
Percentage

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Networks and Communications
  • Signal Processing
  • Logic

Cite this

Rekha, B. B., Kandaswamy, A., & Mitha, V. M. (2016). Embedded realization of a real time Heart Rate Variability logger for at-home sleep studies. In 2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions, WCI 2015 [7495532] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCI.2015.7495532
Rekha, B. Banu ; Kandaswamy, A. ; Mitha, V. Mathu. / Embedded realization of a real time Heart Rate Variability logger for at-home sleep studies. 2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions, WCI 2015. Institute of Electrical and Electronics Engineers Inc., 2016.
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Rekha, BB, Kandaswamy, A & Mitha, VM 2016, Embedded realization of a real time Heart Rate Variability logger for at-home sleep studies. in 2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions, WCI 2015., 7495532, Institute of Electrical and Electronics Engineers Inc., 2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions, WCI 2015, Kanpur, India, 14-12-15. https://doi.org/10.1109/WCI.2015.7495532

Embedded realization of a real time Heart Rate Variability logger for at-home sleep studies. / Rekha, B. Banu; Kandaswamy, A.; Mitha, V. Mathu.

2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions, WCI 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7495532.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Rekha BB, Kandaswamy A, Mitha VM. Embedded realization of a real time Heart Rate Variability logger for at-home sleep studies. In 2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions, WCI 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 7495532 https://doi.org/10.1109/WCI.2015.7495532