Detecting specific health-related events using an integrated sensor system for vital sign monitoring
Open accessAbstract
In this paper, a new method for the detection of apnea/hypopnea periods in physiological data is presented. The method is based on the intelligent combination of an integrated sensor system for long-time cardiorespiratory signal monitoring and dedicated signal-processing packages. Integrated sensors are a PVDF film and conductive fabric sheets. The signal processing package includes dedicated respiratory cycle (RC) and QRS complex detection algorithms and a new method using the respiratory cycle variability (RCV) for detecting apnea/hypopnea periods in physiological data. Results show that our method is suitable for online analysis of long time series 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 [34]
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Self-citation
- Authors
- Adnane, M., Jiang, Z., Choi, S., & Jang, H.
- Affiliations
- Yamaguchi University (JP)
- Kyung Hee University (KR)
- Corresponding author
- Jiang, Zhongwei
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2009-09-01
- Volume
- 9
- Issue
- 9
- Pages
- 6897-6912
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC3286826
- OpenAlex
- W2133157858
- Cited by
- 23
- References
- 18
- Citations by year
- 2025: 2 · 2022: 1 · 2020: 2 · 2019: 2 · 2018: 1 · 2017: 1 · 2015: 2 · 2014: 6 · 2013: 1
- FWCI
- 1.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Keywords
- apnea detection, hypopnea detection, cardiorespiratory monitoring, integrated sensor systems, PVDF film sensor, conductive textiles, QRS complex detection, vital signs monitoring, sleep apnea
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