Identifying Chronic Disease Complications Utilizing State of the Art Data Fusion Methodologies and Signal Processing Algorithms
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
SVM, Markov models, and Wavelet analysis are used in health monitoring systems for anomaly detection.
“For example, support vector machines [27], Markov models [28] and Wavelet analysis [29] are used in health monitoring systems for anomaly detection.”
From Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013) · cites this paper as [29]
In ECG data, several works have been done to improve signal quality for accurate analysis.
“For example in ECG data, several works have been done to improve the quality of signals for accurate analysis [29,32].”
From Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013) · cites this paper as [29]
Metadata provides contextual analysis and improves the process of knowledge extraction.
“This metadata provides contextual analysis and improves the process of knowledge extraction [29,57].”
From Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013) · cites this paper as [29]
For extra knowledge about periodic behavior of time series, medical research has given more attention to features from frequency domains such as power spectral density, low-pass/high-pass filters, spectral energy, and wavelet coefficients.
“However, for extra knowledge about the periodic behavior of time series, research in the medical field has given more attention to the features acquired from frequency-domains such as power spectral density, low-pass/high-pass filters, spectral energy, and wavelet coefficients of the signal [29,45].”
From Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013) · cites this paper as [29]
Cites
Detection of ECG characteristic points using wavelet transforms
Li, C., Zheng, C.-X., & Tai, C. (1995) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.362922 · Cited by 1,608 · see citing works
A Wavelet-Based ECG Delineator: Evaluation on Standard Databases
Martínez, J. P., Almeida, R., Olmos, S. C., Rocha, A. P., & Laguna, P. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2003.821031 · Cited by 1,606 · see citing works
Detection of valvular heart disorders using wavelet packet decomposition and support vector machine
Choi, S. (2007) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.08.078 · Cited by 75 · 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
Monitoring Methods of Human Body Joints: State-of-the-Art and Research Challenges
Faisal, A. I., Majumder, S., Mondal, T., Cowan, D., Naseh, S., & Deen, M. J. (2019) · Sensors · doi:10.3390/s19112629 · Cited by 187 · see citing works
- Authors
- Gialelis, J., Chondros, P., Karadimas, D., Dima, S., & Serpanos, D.
- Affiliations
- Industrial Systems Institute (GR)
- Venue
- Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- Publisher
- Springer Berlin Heidelberg
- Published
- 2012
- Pages
- 256-263
- ISSN
- 1867-8211 (ISSN-L)
- 1867-822X
- OpenAlex
- W1455292178
- Cited by
- 8
- References
- 3
- Citations by year
- 2022: 1 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 2 · 2017: 1 · 2013: 1
- FWCI
- 1.00
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- chronic disease complications, ECG signal analysis, wavelet feature extraction, sensor fusion, physiological monitoring, health state assessment, semantic enrichment
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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