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A dataset on 24-h electrocardiograph, sleep and metabolic function of male type 2 diabetes mellitus
This dataset provides a collection of 24 h electrocardiograph (ECG) signals, ECG analysis results based on circadian rhythm and R-peak detection, results of sleep quality assessment and clinical indicators of metabolic function acquired from 60 male type 2 diabetes mellitus (T2DM) inpatients. Upon a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405204/ https://www.ncbi.nlm.nih.gov/pubmed/37554991 http://dx.doi.org/10.1016/j.dib.2023.109421 |
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author | Cheng, Wenquan Chen, Hongsen Tian, Leirong Ma, Zhimin Cui, Xingran |
author_facet | Cheng, Wenquan Chen, Hongsen Tian, Leirong Ma, Zhimin Cui, Xingran |
author_sort | Cheng, Wenquan |
collection | PubMed |
description | This dataset provides a collection of 24 h electrocardiograph (ECG) signals, ECG analysis results based on circadian rhythm and R-peak detection, results of sleep quality assessment and clinical indicators of metabolic function acquired from 60 male type 2 diabetes mellitus (T2DM) inpatients. Upon admission, a fasting blood draw and urinary sample were obtained the next morning for routine glucose, lipid and renal panels. Subjects were also involved in investigation for diabetic complications. On the second day of hospitalization, subjects were monitored in hospital for 24-h ECG starting at 10 pm. Subjective sleep quality was assessed by Pittsburgh Sleep Quality Index and a brief sleep log was used to record sleep duration for the studied night. Objective sleep quality and sleep staging were assessed by cardiopulmonary coupling analysis. This dataset could be utilized to conduct conjoint research on the relationships among sleep, metabolic function, and function of cardiovascular system and autonomic nervous system derived from ECG analysis in T2DM, and further investigate the information in ECG signals based on circadian rhythm and physiological status, providing new insights into long term physiological signal processing. |
format | Online Article Text |
id | pubmed-10405204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104052042023-08-08 A dataset on 24-h electrocardiograph, sleep and metabolic function of male type 2 diabetes mellitus Cheng, Wenquan Chen, Hongsen Tian, Leirong Ma, Zhimin Cui, Xingran Data Brief Data Article This dataset provides a collection of 24 h electrocardiograph (ECG) signals, ECG analysis results based on circadian rhythm and R-peak detection, results of sleep quality assessment and clinical indicators of metabolic function acquired from 60 male type 2 diabetes mellitus (T2DM) inpatients. Upon admission, a fasting blood draw and urinary sample were obtained the next morning for routine glucose, lipid and renal panels. Subjects were also involved in investigation for diabetic complications. On the second day of hospitalization, subjects were monitored in hospital for 24-h ECG starting at 10 pm. Subjective sleep quality was assessed by Pittsburgh Sleep Quality Index and a brief sleep log was used to record sleep duration for the studied night. Objective sleep quality and sleep staging were assessed by cardiopulmonary coupling analysis. This dataset could be utilized to conduct conjoint research on the relationships among sleep, metabolic function, and function of cardiovascular system and autonomic nervous system derived from ECG analysis in T2DM, and further investigate the information in ECG signals based on circadian rhythm and physiological status, providing new insights into long term physiological signal processing. Elsevier 2023-07-15 /pmc/articles/PMC10405204/ /pubmed/37554991 http://dx.doi.org/10.1016/j.dib.2023.109421 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Cheng, Wenquan Chen, Hongsen Tian, Leirong Ma, Zhimin Cui, Xingran A dataset on 24-h electrocardiograph, sleep and metabolic function of male type 2 diabetes mellitus |
title | A dataset on 24-h electrocardiograph, sleep and metabolic function of male type 2 diabetes mellitus |
title_full | A dataset on 24-h electrocardiograph, sleep and metabolic function of male type 2 diabetes mellitus |
title_fullStr | A dataset on 24-h electrocardiograph, sleep and metabolic function of male type 2 diabetes mellitus |
title_full_unstemmed | A dataset on 24-h electrocardiograph, sleep and metabolic function of male type 2 diabetes mellitus |
title_short | A dataset on 24-h electrocardiograph, sleep and metabolic function of male type 2 diabetes mellitus |
title_sort | dataset on 24-h electrocardiograph, sleep and metabolic function of male type 2 diabetes mellitus |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405204/ https://www.ncbi.nlm.nih.gov/pubmed/37554991 http://dx.doi.org/10.1016/j.dib.2023.109421 |
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