A dataset on 24-h electrocardiograph, sleep and metabolic function of male type 2 diabetes mellitus

Wenquan Cheng; Hongsen Chen; Leirong Tian; Zhimin Ma; Xingran Cui

doi:10.1016/j.dib.2023.109421

A dataset on 24-h electrocardiograph, sleep and metabolic function of male type 2 diabetes mellitus

Data Brief. 2023 Jul 15:49:109421. doi: 10.1016/j.dib.2023.109421. eCollection 2023 Aug.

Authors

Wenquan Cheng¹, Hongsen Chen¹, Leirong Tian¹, Zhimin Ma², Xingran Cui^{1

3}

Affiliations

¹ Key Laboratory of Child Development and Learning Science, Ministry of Education, School of Biological Sciences & Medical Engineering, Southeast University, Nanjing 210096, China.
² Endocrinology Department, Suzhou Science and Technology Town Hospital, Suzhou 21500, China.
³ Research Center for Learning Science, Southeast University, Nanjing 210096, China.

Abstract

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.

Keywords: Electrocardiograph (ECG); Glycemic control; Heart rate Variability (HRV); Metabolic function; Sleep; T2DM.