Multiscale Analysis of Intensive Longitudinal Biomedical Signals and Its Clinical Applications
Multiscale Analysis of Intensive Longitudinal Biomedical Signals and Its Clinical Applications
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强纵向生物医学信号的多尺度分析及其临床应用
DOI：
10.1109/jproc.2015.2491979
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发表时间：
2016-02-01
影响因子：
20.6
通讯作者：
Yamamoto, Yoshiharu
中科院分区：
文献类型：
--
作者：
Nakamura, Toru;Kiyono, Ken;Yamamoto, Yoshiharu
可穿戴和/或生物医学传感技术的最新进展使记录非常长期、连续的生物医学信号成为可能，称为生物医学密集纵向数据（ILD）。为了将ILD与临床应用（如个性化医疗保健和疾病预防）联系起来，开发强大可靠的数据分析技术被认为是重要的。本文主要介绍了两类密集纵向生物医学信号--心率变异性（HRV）和自发性体力活动（SPA）时间序列的多尺度分析方法及其应用。已经表明，这些ILD具有各种多尺度复杂系统所特有的鲁棒特性，并且表征多尺度复杂性的一些参数实际上在病理状态下改变，显示出作为新型环境诊断和/或预后工具的潜在可用性。例如，发现表征HRV的增加的不稳定性的参数在检测自主神经系统的状态中的异常，特别是交感神经活动过度中潜在地有用，并且SPA的不稳定性参数也可能在评估具有抑郁以及躁狂发作的精神病患者的症状中有用，所有这些都在日常设置中。因此，多尺度分析可能是一个有用的工具，以提取信息的临床事件发生在多个时间尺度在日常生活和潜在的生理控制机制，从生物医学ILD。
Recent advances in wearable and/or biomedical sensing technologies have made it possible to record very long-term, continuous biomedical signals, referred to as biomedical intensive longitudinal data (ILD). To link ILD to clinical applications, such as personalized healthcare and disease prevention, the development of robust and reliable data analysis techniques is considered important. In this review, we introduce multiscale analysis methods for and the applications to two types of intensive longitudinal biomedical signals, heart rate variability (HRV) and spontaneous physical activity (SPA) time series. It has been shown that these ILD have robust characteristics unique to various multiscale complex systems, and some parameters characterizing the multiscale complexity are in fact altered in pathological states, showing potential usability as a new type of ambient diagnostic and/or prognostic tools. For example, parameters characterizing increased intermittency of HRV are found to be potentially useful in detecting abnormality in the state of the autonomic nervous system, in particular the sympathetic hyperactivity, and intermittency parameters of SPA might also be useful in evaluating symptoms of psychiatric patients with depressive as well as manic episodes, all in the daily settings. Therefore, multiscale analysis might be a useful tool to extract information on clinical events occurring at multiple time scales during daily life and the underlying physiological control mechanisms from biomedical ILD.