You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modulations of Heart Rate, ECG, and Cardio-Respiratory Coupling Observed in Polysomnography
|
|---|---|
| Published in |
Frontiers in Physiology, October 2016
|
| DOI | 10.3389/fphys.2016.00460 |
| Pubmed ID | |
| Authors |
Thomas Penzel, Jan W. Kantelhardt, Ronny P. Bartsch, Maik Riedl, Jan F. Kraemer, Niels Wessel, Carmen Garcia, Martin Glos, Ingo Fietze, Christoph Schöbel |
| Abstract |
The cardiac component of cardio-respiratory polysomnography is covered by ECG and heart rate recordings. However, their evaluation is often underrepresented in summarizing reports. As complements to EEG, EOG, and EMG, these signals provide diagnostic information for autonomic nervous activity during sleep. This review presents major methodological developments in sleep research regarding heart rate, ECG, and cardio-respiratory couplings in a chronological (historical) sequence. It presents physiological and pathophysiological insights related to sleep medicine obtained by new technical developments. Recorded nocturnal ECG facilitates conventional heart rate variability (HRV) analysis, studies of cyclical variations of heart rate, and analysis of ECG waveform. In healthy adults, the autonomous nervous system is regulated in totally different ways during wakefulness, slow-wave sleep, and REM sleep. Analysis of beat-to-beat heart-rate variations with statistical methods enables us to estimate sleep stages based on the differences in autonomic nervous system regulation. Furthermore, up to some degree, it is possible to track transitions from wakefulness to sleep by analysis of heart-rate variations. ECG and heart rate analysis allow assessment of selected sleep disorders as well. Sleep disordered breathing can be detected reliably by studying cyclical variation of heart rate combined with respiration-modulated changes in ECG morphology (amplitude of R wave and T wave). |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 2% |
| Brazil | 1 | <1% |
| Unknown | 192 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 14% |
| Researcher | 27 | 14% |
| Student > Ph. D. Student | 24 | 12% |
| Student > Bachelor | 14 | 7% |
| Student > Doctoral Student | 13 | 7% |
| Other | 33 | 17% |
| Unknown | 57 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 47 | 24% |
| Medicine and Dentistry | 29 | 15% |
| Neuroscience | 14 | 7% |
| Psychology | 7 | 4% |
| Physics and Astronomy | 7 | 4% |
| Other | 28 | 14% |
| Unknown | 64 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 09 November 2022.
All research outputs
#6,505,657
of 23,063,209 outputs
Outputs from Frontiers in Physiology
#3,123
of 13,801 outputs
Outputs of similar age
#99,256
of 314,579 outputs
Outputs of similar age from Frontiers in Physiology
#53
of 201 outputs
Altmetric has tracked 23,063,209 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 13,801 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 314,579 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.