Matteo Migliorini, Martin O Mendez, Anna M Bianchi
{"title":"Study of Heart Rate Variability in Bipolar Disorder: Linear and Non-Linear Parameters during Sleep.","authors":"Matteo Migliorini, Martin O Mendez, Anna M Bianchi","doi":"10.3389/fneng.2011.00022","DOIUrl":null,"url":null,"abstract":"<p><p>The aim of the study is to define physiological parameters and vital signs that may be related to the mood and mental status in patients affected by bipolar disorder. In particular we explored the autonomic nervous system through the analysis of the heart rate variability. Many different parameters, in the time and in the frequency domain, linear and non-linear were evaluated during the sleep in a group of normal subject and in one patient in four different conditions. The recording of the signals was performed through a wearable sensorized T-shirt. Heart rate variability (HRV) signal and movement analysis allowed also obtaining sleep staging and the estimation of REM sleep percentage over the total sleep time. A group of eight normal females constituted the control group, on which normality ranges were estimated. The pathologic subject was recorded during four different nights, at time intervals of at least 1 week, and during different phases of the disturbance. Some of the examined parameters (MEANNN, SDNN, RMSSD) confirmed reduced HRV in depression and bipolar disorder. REM sleep percentage was found to be increased. Lempel-Ziv complexity and sample entropy, on the other hand, seem to correlate with the depression level. Even if the number of examined subjects is still small, and the results need further validation, the proposed methodology and the calculated parameters seem promising tools for the monitoring of mood changes in psychiatric disorders.</p>","PeriodicalId":73093,"journal":{"name":"Frontiers in neuroengineering","volume":" ","pages":"22"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/1d/82/fneng-04-00022.PMC3254053.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in neuroengineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fneng.2011.00022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2011/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The aim of the study is to define physiological parameters and vital signs that may be related to the mood and mental status in patients affected by bipolar disorder. In particular we explored the autonomic nervous system through the analysis of the heart rate variability. Many different parameters, in the time and in the frequency domain, linear and non-linear were evaluated during the sleep in a group of normal subject and in one patient in four different conditions. The recording of the signals was performed through a wearable sensorized T-shirt. Heart rate variability (HRV) signal and movement analysis allowed also obtaining sleep staging and the estimation of REM sleep percentage over the total sleep time. A group of eight normal females constituted the control group, on which normality ranges were estimated. The pathologic subject was recorded during four different nights, at time intervals of at least 1 week, and during different phases of the disturbance. Some of the examined parameters (MEANNN, SDNN, RMSSD) confirmed reduced HRV in depression and bipolar disorder. REM sleep percentage was found to be increased. Lempel-Ziv complexity and sample entropy, on the other hand, seem to correlate with the depression level. Even if the number of examined subjects is still small, and the results need further validation, the proposed methodology and the calculated parameters seem promising tools for the monitoring of mood changes in psychiatric disorders.
本研究旨在确定可能与躁郁症患者的情绪和精神状态有关的生理参数和生命体征。我们尤其通过分析心率变异性来探索自律神经系统。我们评估了一组正常人和一名患者在四种不同条件下睡眠时的时域和频域、线性和非线性等多种不同参数。信号的记录是通过一件可穿戴感应 T 恤进行的。通过心率变异(HRV)信号和运动分析,还可以获得睡眠分期,并估算出快速眼动睡眠在整个睡眠时间中所占的比例。对照组由八名正常女性组成,在此基础上估计正常范围。病理受试者在四个不同的夜晚,每隔至少一周,以及在睡眠障碍的不同阶段进行记录。一些受检参数(MEANNN、SDNN、RMSSD)证实,抑郁症和躁狂症患者的心率变异会降低。发现快速动眼期睡眠比例增加。另一方面,Lempel-Ziv 复杂性和样本熵似乎与抑郁程度相关。尽管受试者人数仍然较少,研究结果也需要进一步验证,但所提出的方法和计算出的参数似乎很有希望成为监测精神疾病患者情绪变化的工具。