An automated program for mental stress and apnea/hypopnea events detection
Abstract
The development of computer-aided diagnosis tools for detecting specific health-related events occurrences is of a great importance in the medical practice nowadays. Actually, health professionals still use manual methods for screening physiological data to get valuable information. This task becomes fastidious when the data is very long. In this paper, we present a new and simple method, we called windowed detrended fluctuation analysis (WDFA), for the detection of health-related events in physiological data. This method is based on the calculation of local energy of detrended profile of RR series obtained from the ECG signal. Data acquired during night containing apnea and hypopnea episodes and mental stress related data were used. Experiments showed that it is possible to detect apnea or hypopnea events and mental stress time episodes. Our method is well suited for the analysis of long time series data and the detection of abrupt changes in physiological data.
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Few papers use domain knowledge and predefined information to detect anomalies for decision making, such as sleep episodes and hazardous stress levels.
“Few of the papers have used domain knowledge and predefined information to detect anomalies for decision making such as anomaly detection in sleep episodes [34,35], and finding hazardous stress levels [36].”
From Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013) · cites this paper as [35]
Cites
Mosaic organization of DNA nucleotides
Peng, C., Buldyrev, S. V., Havlin, S., Simons, M., Stanley, E., & Goldberger, A. L. (1994) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.49.1685 · Cited by 5,002 · see citing works
Emotion recognition system using short-term monitoring of physiological signals
Kim, K. H., Bang, S. W., & Kim, S. R. (2004) · Medical & Biological Engineering & Computing · doi:10.1007/bf02344719 · Cited by 944 · see citing works
Penzel, T., Kantelhardt, J. W., Grote, L., Peter, J. H., & Armin Bunde, A. (2003) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2003.817636 · Cited by 493 · see citing works
Acute Stress Affects Heart Rate Variability During Sleep
Hall, M. H., Vasko, R., Buysse, D. J., Ombao, H., Chen, Q., Cashmere, J. D., Kupfer, D. J., & Thayer, J. F. (2004) · Psychosomatic Medicine · doi:10.1097/01.psy.0000106884.58744.09 · Cited by 378 · see citing works
Choi, S., & Jiang, Z. (2006) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2006.02.012 · Cited by 235 · see citing works
Self-citationSleep–wake stages classification and sleep efficiency estimation using single-lead electrocardiogram
Adnane, M., Jiang, Z., & Yan, Z. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.08.022 · Cited by 119 · see citing works
Self-citationDevelopment of QRS detection algorithm designed for wearable cardiorespiratory system
Adnane, M., Jiang, Z., & Choi, S. (2008) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2008.07.010 · Cited by 89 · see citing works
Self-citationTelser, S., Staudacher, M., Ploner, Y., Amann, A., Hinterhuber, H., & Ritsch‐Marte, M. (2004) · Somnologie - Schlafforschung und Schlafmedizin · doi:10.1111/j.1439-054x.2004.00016.x · Cited by 34 · see citing works
Detecting specific health-related events using an integrated sensor system for vital sign monitoring
Adnane, M., Jiang, Z., Choi, S., & Jang, H. (2009) · Sensors · doi:10.3390/s90906897 · Cited by 23 · see citing works
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Banaee, H., Ahmed, M., & Loutfi, A. (2013) · Sensors · doi:10.3390/s131217472 · Cited by 452 · see citing works
- Authors
- Adnane, M., Jiang, Z., Mori, N., & Matsumoto, Y.
- Affiliations
- Polytechnic School of Algiers (DZ)
- Yamaguchi University (JP)
- Yamaguchi Prefectural Industrial Technology Institute (JP)
- Venue
- International Workshop on Systems, Signal Processing and their Applications, WOSSPA
- Publisher
- IEEE
- Published
- 2011-05
- Pages
- 59-62
- OpenAlex
- W2163291494
- Cited by
- 2
- References
- 9
- Citations by year
- 2015: 1 · 2013: 1
- FWCI
- 1.04
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Workshop on Systems, Signal Processing and their Applications (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- mental stress detection, apnea detection, hypopnea detection, detrended fluctuation analysis, ECG signals, computer-aided diagnosis, sleep apnea
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