Owens Andrew P
Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
The Remote Assessment of Disease and Relapse - Alzheimer's Disease (RADAR-AD) Consortium, London, United Kingdom.
Front Neurosci. 2020 Nov 13;14:582145. doi: 10.3389/fnins.2020.582145. eCollection 2020.
Heart rate variability (HRV) offers insights into humoral, neural and neurovisceral processes in health and disorders of brain, body and behavior but has yet to be fully potentiated in the digital age. Remote measurement technologies (RMTs), such as, smartphones, wearable sensors or home-based devices, can passively capture HRV as a nested parameter of neurovisceral integration and health during everyday life, providing insights across different contexts, such as activities of daily living, therapeutic interventions and behavioral tasks, to compliment ongoing clinical care. Many RMTs measure HRV, even consumer wearables and smartphones, which can be deployed as wearable sensors or digital cameras using photoplethysmography. RMTs that measure HRV provide the opportunity to identify digital biomarkers indicative of changes in health or disease status in disorders where neurovisceral processes are compromised. RMT-based HRV therefore has potential as an adjunct digital biomarker in neurovisceral digital phenotyping that can add continuously updated, objective and relevant data to existing clinical methodologies, aiding the evolution of current "diagnose and treat" care models to a more proactive and holistic approach that pairs established markers with advances in remote digital technology.
心率变异性(HRV)有助于深入了解健康状态以及大脑、身体和行为紊乱情况下的体液、神经和神经内脏过程,但在数字时代尚未得到充分利用。远程测量技术(RMTs),如智能手机、可穿戴传感器或家用设备,能够在日常生活中作为神经内脏整合与健康的一个嵌套参数被动获取HRV,提供不同情境下的信息,如日常生活活动、治疗干预和行为任务等,以辅助现行临床护理。许多RMTs都能测量HRV,甚至消费级可穿戴设备和智能手机也可以通过光电容积脉搏波描记法作为可穿戴传感器或数码相机来使用。测量HRV的RMTs提供了识别数字生物标志物的机会,这些标志物可指示神经内脏过程受损疾病中健康或疾病状态的变化。因此,基于RMT的HRV作为神经内脏数字表型分析中的一种辅助数字生物标志物具有潜力,它可以为现有临床方法添加持续更新、客观且相关的数据,有助于将当前“诊断与治疗”的护理模式演变为一种更积极主动和全面的方法,将既定指标与远程数字技术的进步相结合。