Design of a Neurocognitive Digital Health System (NDHS) for Neurodegenerative Diseases

Design of a Neurocognitive Digital Health System (NDHS) for Neurodegenerative Diseases
复制标题

针对神经退行性疾病的神经认知数字健康系统 (NDHS) 的设计

DOI:
10.1145/3469266.3471157
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发表时间:
2021
期刊:
Workshop on Future of Digital Biomarkers
影响因子:
--
通讯作者:
Schneider, Sandra
Schneider, Sandra
中科院分区:
--
文献类型:
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作者:
Templeton, John M.;Poellabauer, Christian;Schneider, Sandra

文献摘要

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随着设备功能和总体患病率的增加,数字健康技术在监测个人健康方面变得越来越普遍。然而,随着个体年龄的增长,使用这种技术会出现挑战,特别是当它涉及神经退行性问题时(例如,帕金森病、阿尔茨海默病和ALS患者)。传统上,神经退行性疾病在临床环境中使用纸笔式评估进行评估;然而,数字健康系统允许收集比我们使用传统方法所能获得的更多的数据。这项工作的目标是形成和实施一个神经认知数字健康系统,该系统旨在超越基于笔和纸的解决方案,通过收集(a)目标,(B)纵向数据,和(c)特定于患者的数据,用于(d)个性化干预方案。该系统支持所有神经认知功能的监测(例如,运动、记忆、言语、执行功能、感觉、语言、行为和心理功能、睡眠和自主功能),同时还提供个性化干预方案的方法。使用专门设计的基于平板电脑的评估和可穿戴设备允许收集有助于准确诊断和纵向监测的客观数字生物标志物,而患者报告的结果(例如,由被诊断的个体和护理者)提供用于形成个性化干预的额外见解。由于许多干预措施都是一个一刀切的概念,数字健康系统应用于提供对神经退行性疾病的更全面的了解,客观地评估患者,并形成个性化的干预方案,为诊断患有神经退行性疾病的个人创造更高的生活质量。
Digital health technology is becoming more ubiquitous in monitoring individuals' health as both device functionality and overall prevalence increase. However, as individuals age, challenges arise with using this technology particularly when it involves neurodegenerative issues (e.g., for individuals with Parkinson's disease, Alzheimer's disease, and ALS). Traditionally, neurodegenerative diseases have been assessed in clinical settings using pen-and-paper style assessments; however, digital health systems allow for the collection of far more data than we ever could achieve using traditional methods.The objective of this work is the formation and implementation of a neurocognitive digital health system designed to go beyond what pen-and-paper based solutions can do through the collection of (a) objective, (b) longitudinal, and (c) symptom-specific data, for use in (d) personalized intervention protocols. This system supports the monitoring of all neurocognitive functions (e.g., motor, memory, speech, executive function, sensory, language, behavioral and psychological function, sleep, and autonomic function), while also providing methodologies for personalized intervention protocols. The use of specifically designed tablet-based assessments and wearable devices allows for the collection of objective digital biomarkers that aid in accurate diagnosis and longitudinal monitoring, while patient reported outcomes (e.g., by the diagnosed individual and caregivers) give additional insights for use in the formation of personalized interventions. As many interventions are a one-size-fits-all concept, digital health systems should be used to provide a far more comprehensive understanding of neurodegenerative conditions, to objectively evaluate patients, and form personalized intervention protocols to create a higher quality of life for individuals diagnosed with neurodegenerative diseases.