| Title |
Data–Driven Multimodal Sleep Apnea Events Detection
|
|---|---|
| Published in |
Journal of Medical Systems, May 2016
|
| DOI | 10.1007/s10916-016-0520-7 |
| Pubmed ID | |
| Authors |
Tomasz M. Rutkowski |
| Abstract |
A novel multimodal and bio-inspired approach to biomedical signal processing and classification is presented in the paper. This approach allows for an automatic semantic labeling (interpretation) of sleep apnea events based the proposed data-driven biomedical signal processing and classification. The presented signal processing and classification methods have been already successfully applied to real-time unimodal brainwaves (EEG only) decoding in brain-computer interfaces developed by the author. In the current project the very encouraging results are obtained using multimodal biomedical (brainwaves and peripheral physiological) signals in a unified processing approach allowing for the automatic semantic data description. The results thus support a hypothesis of the data-driven and bio-inspired signal processing approach validity for medical data semantic interpretation based on the sleep apnea events machine-learning-related classification. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Student > Bachelor | 3 | 9% |
| Other | 2 | 6% |
| Student > Master | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 13 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 17% |
| Engineering | 6 | 17% |
| Medicine and Dentistry | 5 | 14% |
| Physics and Astronomy | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 14 | 40% |
Attention Score in Context
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#20,429,992
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Outputs from Journal of Medical Systems
#1,010
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Outputs of similar age from Journal of Medical Systems
#31
of 33 outputs
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