| Title |
Akustische Informationen von Schnarchgeräuschen
|
|---|---|
| Published in |
HNO, January 2017
|
| DOI | 10.1007/s00106-016-0331-7 |
| Pubmed ID | |
| Authors |
C. Janott, B. Schuller, C. Heiser |
| Abstract |
More than one third of all people snore regularly. Snoring is a common accompaniment of obstructive sleep apnea (OSA) and is often disruptive for the bed partner. This work gives an overview of the history of and state of research on acoustic analysis of snoring for classification of OSA severity, detection of obstructive events, measurement of annoyance, and identification of the sound excitation location. Based on these objectives, searches were conducted in the literature databases PubMed and IEEE Xplore. Publications dealing with the respective objectives according to title and abstract were selected from the search results. A total of 48 publications concerning the above objectives were considered. The limiting factor of many studies is the small number of subjects upon which the analyses are based. Recent research findings show promising results, such that acoustic analysis may find a place in the framework of sleep diagnostics, thus supplementing the recognized standard methods. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 19% |
| Student > Bachelor | 6 | 19% |
| Student > Ph. D. Student | 3 | 9% |
| Professor > Associate Professor | 3 | 9% |
| Other | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 8 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 34% |
| Nursing and Health Professions | 3 | 9% |
| Computer Science | 3 | 9% |
| Environmental Science | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 9 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 August 2017.
All research outputs
#20,444,703
of 22,999,744 outputs
Outputs from HNO
#324
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Outputs of similar age
#353,395
of 417,598 outputs
Outputs of similar age from HNO
#9
of 10 outputs
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