| Title |
Performance evaluation of an automated single-channel sleep–wake detection algorithm
|
|---|---|
| Published in |
Nature and science of sleep, October 2014
|
| DOI | 10.2147/nss.s71159 |
| Pubmed ID | |
| Authors |
Richard F Kaplan, Ying Wang, Kenneth A Loparo, Monica R Kelly, Richard R Bootzin |
| Abstract |
A need exists, from both a clinical and a research standpoint, for objective sleep measurement systems that are both easy to use and can accurately assess sleep and wake. This study evaluates the output of an automated sleep-wake detection algorithm (Z-ALG) used in the Zmachine (a portable, single-channel, electroencephalographic [EEG] acquisition and analysis system) against laboratory polysomnography (PSG) using a consensus of expert visual scorers. |
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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 59 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 22% |
| Student > Ph. D. Student | 10 | 17% |
| Student > Master | 7 | 12% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Other | 10 | 17% |
| Unknown | 11 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 18% |
| Medicine and Dentistry | 7 | 12% |
| Psychology | 6 | 10% |
| Neuroscience | 6 | 10% |
| Computer Science | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 19 | 32% |
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 25 October 2014.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Nature and science of sleep
#518
of 629 outputs
Outputs of similar age
#194,494
of 265,641 outputs
Outputs of similar age from Nature and science of sleep
#2
of 2 outputs
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