Online discovery of Heart Rate Variability patterns in mobile healthcare services
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Recent works in diagnosis/decision making involve estimating severity of health episodes of patients with chronic disease, sleep issues such as polysomnography and apnea, estimation and classification of health conditions, and emotion recognition.
“Some examples of recent works in this area involve estimating the severity of health episodes of patients suffering chronic disease [44–46], sleep issues such as polysomnography and apnea [47,48], estimation and classification of health conditions [49,50], and emotion recognition [51].”
From Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013) · cites this paper as [49]
Few works have designed and tested their data mining methods through simulated physiological data.
“For the sake of having a wide controlled analysis system, few works have designed and tested their data mining methods through shapely simulated physiological data [49].”
From Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013) · cites this paper as [49]
Cited by
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Banaee, H., Ahmed, M., & Loutfi, A. (2013) · Sensors · doi:10.3390/s131217472 · Cited by 452 · see citing works
- Authors
- Vu, T. H. N., Park, N., Lee, Y. K., Lee, Y., Lee, J. Y., & Ryu, K. H.
- Affiliations
- Ohio University (US)
- Chungbuk National University (KR)
- Corresponding author
- Vu, Thi Hong Nhan
- Venue
- Journal of Systems and Software
- Publisher
- Elsevier BV
- Published
- 2010-10
- Volume
- 83
- Issue
- 10
- Pages
- 1930-1940
- ISSN
- 0164-1212 (ISSN-L)
- OpenAlex
- W1969364262
- Cited by
- 21
- References
- 0
- Citations by year
- 2026: 1 · 2023: 2 · 2022: 1 · 2021: 3 · 2019: 2 · 2018: 1 · 2017: 4 · 2016: 1 · 2015: 3 · 2014: 1 · 2013: 2
- FWCI
- 0.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Systems and Software (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
- heart rate variability, coronary heart disease risk, online learning, incremental neural networks, Poincaré plot, ECG classification, wearable sensors, body area networks, mobile health, self-organizing maps, growing neural gas, multilayer perceptron
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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