Power spectral analysis of heart rate variability in psychiatry
Power spectral analysis of heart rate variability in psychiatry
复制标题
DOI：
10.1159/000012314
复制
发表时间：
1999-03-01
影响因子：
22.8
通讯作者：
Kotler, M
中科院分区：
文献类型：
--
作者：
Cohen, H;Matar, MA;Kotler, M
心率变异性的功率谱分析（HRV的PSA）是一种很有前景的方法，可作为心脏自主神经平衡的一个指标。HRV的PSA是一种无创技术，基于对RR间期变化的心电图采样，从而对交感神经和副交感神经张力进行动态评估，反映两者之间的相互作用。它已被证明在各种实验室和临床情况中具有潜在价值。它受许多因素影响，如年龄、性别、体位、呼吸、吸烟、一天中的时间以及药物等。不同作者采用的不同数据处理方法常常得出相互矛盾的结果。在不同环境中可使用或比较的标准值尚未确定。从它所引起的关注来看，可以预期这种方法将来会在临床实践中广泛应用，为诊断和预后目的提供一个有用的工具，并且作为监测治疗干预的进一步辅助手段。这篇综述重点介绍了HRV动态评估的技术以及它在精神病学中的临床应用研究，特别是提出了精神病患者群体中长期自主神经功能障碍潜在的重要预后影响，尤其是对心血管疾病的发病率和死亡率的影响。
Power spectrum analysis of heart rate variability (PSA of HRV) is a promising method, which can be used as an index of cardiac autonomic balance. PSA of HRV is a noninvasive technique, based on ECG sampling of RR interval variation, thus providing a dynamic assessment of sympathetic and parasympathetic tone, reflecting the interactions between the two. It has been shown to have potential value in various laboratory and clinical conditions. It is influenced by many factors such as age, sex, position, breathing, smoking, hour of the day and medications. Different methods of data processing by various authors have often elicited conflicting results. Standard values are not yet available to be used or compared in different settings. From the interest it has raised, it may be expected that this method will be in widespread use in clinical practice in the future, providing a useful toot, both for diagnostic and prognostic purposes, as well as serving as a further aid towards monitoring therapeutic interventions. This review highlights techniques of dynamic assessment of HRV and studies of its clinical applications in psychiatry in particular. It raises the potentially important prognostic implications of protracted autonomic dysfunction in psychiatric patient populations, especially for cardiovascular morbidity and mortality.