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Bliss Buzzer, a system to monitor health and stress with real-time feedback

Authors:

Ramesh R. RaoAuthors Info & Claims

SenSys '13: Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems

Article No.: 83, Pages 1 - 2

https://doi.org/10.1145/2517351.2517427

Published: 11 November 2013 Publication History

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Abstract

"The search for biomarkers of stress and health remains a challenging task for researchers and clinicians alike," as noted in [9]. Against this backdrop, the recent emergence of medical devices that can collect time series for long durations at very high sampling rates makes it possible to study temporal patterns in biophysical signals. We demonstrate a functional system to collect and analyze physiological signals, and provide real-time feedback to the end user.

References

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Bliss Buzzer demo video. www.studioquer.it/giorgio/video/bb.htm.

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Bauer, A., Kantelhardt, J. W., Barthel, P., Schneider, R., Mäkikallio, T. H., Ulm, K., Hnatkova, K., Schöning, A., Huikuri, H. V., Bunde, A., Malik, M., and Schmidt, G. Deceleration capacity of heart rate as a predictor of mortality after myocardial infarction: cohort study. American Journal of Physiology: Heart and Circulatory Physiology 367 (2006), 1674--1681.

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[3]

Daftari, J., Quer, G., and Rao, R. R. Wavelet Coherence Reveals Entrainment of Heart Rate Variability Among People Involved in Group Activities. In IEEE ICC (Ottawa, Canada, June 2012).

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Demchak, B. Policy Driven Development: SOA Evolvability through late binding. PhD thesis, 2012.

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Ganguly, A., Quer, G., and Rao, R. R. Bliss Buzzer website, Qualcomm Institute, UCSD. bliss.calit2.net/. Last accessed: Sep. 2013.

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[6]

Goldberger, A. L., Amaral, L. A. N., Glass, L., Hausdorff, J. M., Ivanov, P. C., Mark, R. G., Mietus, J. E., Moody, G. B., Peng, C.-K., and Stanley, H. E. physionet.org/. Last accessed: Sep. 2013.

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Quer, G., and Rao, R. R. A Bayesian Model of Heart Rate to Reveal Real-time Physiological Information. In IEEE Healthcom (Beijing, China, Oct. 2012).

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[8]

Task Force of the European Society of Cardiology and the North American Society of Pacing Electrophysiology. Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use. Circulation 93, 5 (1996), 1043--1065.

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[9]

Thayera, J. F., Ahsc, F., Fredrikson, M., SollersIII, J. J., and Wager, T. D. A meta-analysis of heart rate variability and neuroimaging studies: Implications for heart rate variability as a marker of stress and health. Neurosciences and Biobehavioral Reviews 26 (2012), 747--756.

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Cited By

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Quer GAlasaad ARao R(2016)On the Accuracy of Heart Rate Variability Measures from Undersampled RR Interval Time Series2016 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2016.7842045(1-7)Online publication date: Dec-2016
https://doi.org/10.1109/GLOCOM.2016.7842045
Maxhuni AMuñoz-Meléndez AOsmani VPerez HMayora OMorales E(2016)Classification of bipolar disorder episodes based on analysis of voice and motor activity of patientsPervasive and Mobile Computing10.1016/j.pmcj.2016.01.00831:C(50-66)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1016/j.pmcj.2016.01.008
Quer GDaftari JRao R(2016)Heart rate wavelet coherence analysis to investigate group entrainmentPervasive and Mobile Computing10.1016/j.pmcj.2015.09.00828:C(21-34)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1016/j.pmcj.2015.09.008

Index Terms

Bliss Buzzer, a system to monitor health and stress with real-time feedback
1. Applied computing
  1. Life and medical sciences

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Information

Published In

SenSys '13: Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems

November 2013

443 pages

ISBN:9781450320276

DOI:10.1145/2517351

General Chair:
Chiara Petrioli
University of Rome `La Sapienza'
,
Program Chairs:
Landon Cox
Duke University
,
Kamin Whitehouse
University of Virginia

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 November 2013

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Research-article

Funding Sources

Qualcomm Institute
Calit2 Strategic Research Opportunities (CSRO) program

Conference

SenSys '13

Sponsor:

SenSys '13: The 11th ACM Conference on Embedded Network Sensor Systems

November 11 - 15, 2013

Roma, Italy

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SenSys '13 Paper Acceptance Rate 21 of 123 submissions, 17%;

Overall Acceptance Rate 174 of 867 submissions, 20%

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Cited By

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Quer GAlasaad ARao R(2016)On the Accuracy of Heart Rate Variability Measures from Undersampled RR Interval Time Series2016 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOCOM.2016.7842045(1-7)Online publication date: Dec-2016
https://doi.org/10.1109/GLOCOM.2016.7842045
Maxhuni AMuñoz-Meléndez AOsmani VPerez HMayora OMorales E(2016)Classification of bipolar disorder episodes based on analysis of voice and motor activity of patientsPervasive and Mobile Computing10.1016/j.pmcj.2016.01.00831:C(50-66)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1016/j.pmcj.2016.01.008
Quer GDaftari JRao R(2016)Heart rate wavelet coherence analysis to investigate group entrainmentPervasive and Mobile Computing10.1016/j.pmcj.2015.09.00828:C(21-34)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.1016/j.pmcj.2015.09.008

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Implementing the lifelong personal health record in a regionalised health information system: The case of Lombardy, Italy

An infrastructure for real-time population health assessment and monitoring

Benefits and Challenges of Electronic Health Record System on Stakeholders: A Qualitative Study of Outpatient Physicians