Correlational analysis of ECG & CGM

<strong>Correlation analysis of heart rate variations and glucose fluctuations during sleep</strong> Taira Kajisa*1, Toshiya Kuroi2, Hiroyuki Hara2, and Toshiyuki Sakai3 <em>1.</em> Course of Bio-Nano Science Fusion, Graduate School of Interdisciplinary New Science, Toyo University, 2100 Kujirai, Kawagoe, Saitama 310-8585, Japan <em>2.</em> Hakuju Institute for Health Science Co., Ltd. <em>3.</em> Department of Student, Student Support Division, Toyo University, 2100 Kujirai, Kawagoe, Saitama 350-8585, Japan <strong>ABSTRACT</strong> Objective: The body’s glucose concentration is influenced by carbohydrate intake, insulin-induced carbohydrate reduction, and hepatic glycogen breakdown induced by stress hormones. This study investigated the potential of employing glucose fluctuations as a measure of stress by examining the relationship between heart rate variability (HRV) data and glucose levels during sleep in healthy subjects. Methods: In this cross-sectional study, a chest-worn electrocardiogram (ECG) and continuous glucose monitoring device (CGM) were respectively used to monitor the heart rate intervals and glucose fluctuations of five subjects (two males, three females) during sleep. A time-series correlation analysis was performed on the HRV data extracted from heart rate intervals and the corresponding glucose fluctuation data. Results: The time-series analysis of ECG and CGM data collected from subjects during sleep (n = 25 nights) revealed a moderate negative correlation between glucose levels and HRV, with a cross-correlation coefficient of r = –0.453. Conclusion: Similar to HRV, changes in stress levels can be detected by observing glucose fluctuations, particularly during sleep when the impact of food intake can be eliminated. Our findings highlight a significant correlation between glucose levels and HRV, indicating that glucose fluctuations can be used as an indicator of autonomic nervous system activity.

睡眠期间心率变异性与血糖波动的相关性分析
Taira Kajisa*1、Toshiya Kuroi2、Hiroyuki Hara2、Toshiyuki Sakai3
*1. 东洋大学跨学科新学研究科生物纳米科学融合课程，日本埼玉县川越市久地原2100番地，邮编310-8585
2. 白寿健康科学股份有限公司
3. 东洋大学学生支援部学生科，日本埼玉县川越市久地原2100番地，邮编350-8585
摘要
目的：人体血糖浓度受碳水化合物摄入、胰岛素介导的碳水化合物代谢降低以及应激激素诱导的肝糖原分解影响。本研究通过探究健康受试者睡眠期间心率变异性（Heart Rate Variability, HRV）与血糖水平的关联，验证将血糖波动作为应激水平衡量指标的可行性。
方法：本项横断面研究中，采用穿戴式胸导联心电图（Electrocardiogram, ECG）与持续血糖监测设备（Continuous Glucose Monitoring, CGM），分别监测5名受试者（2男3女）睡眠期间的心率间期与血糖波动情况。对提取自心率间期的HRV数据与对应血糖波动数据开展时序相关性分析。
结果：对受试者睡眠期间采集的25晚ECG与CGM数据进行时序分析后发现，血糖水平与HRV呈中度负相关，互相关系数r = –0.453。
结论：与HRV类似，通过观察血糖波动可检测应激水平变化，尤其在睡眠期间可排除食物摄入的干扰。本研究结果揭示了血糖水平与HRV间的显著相关性，表明血糖波动可作为自主神经系统活动的检测指标。

搜集汇总

背景与挑战

背景概述

该数据集包含心电图（ECG）和连续血糖监测（CGM）的相关性分析数据，研究探讨了睡眠期间心率变异性与血糖波动之间的负相关性（r = –0.453），表明血糖波动可作为自主神经系统活动的指标。