Methods for Wearable-Derived Pulse Rate Measures and Their Application to Modeling the Relationship between Pulse Rate and Motor Activity in Narcolepsy Type 1 [0.03%]
基于可穿戴设备的心率测量方法及其在1型发作性嗜睡症心率与运动关系建模中的应用
Eena Kosik-Rose,Raul Torres,Brian Tracey et al.
Eena Kosik-Rose et al.
Introduction: Narcolepsy type 1 (NT1) is a chronic, rare neurological disorder caused by loss of orexin neurons that disrupts the sleep-wake cycle. Current research suggests a link between orexin neuropeptide deficiency a...
Machine Learning-Based Stepping Filter Improves Estimates of Moderate-to-Vigorous-Intensity Physical Activity from Wrist Actigraphy [0.03%]
基于机器学习的行进步骤滤波器可提高来自手腕活动记录仪的中高强度身体活动估计精度
Josh Cherian,Emily C Hector,Shyh-Huei Chen et al.
Josh Cherian et al.
Introduction: In this proof-of-concept study involving older adults with varying levels of function, we sought to answer the question: can the application of a simple stepping classification algorithm reduce non-stepping ...
Using Digital Outcomes to Measure Meaningful Aspects of Health in Clinical Trials for Parkinson's Disease: A Scoping Review [0.03%]
利用数字结果衡量帕金森病临床试验中健康的重要方面的系统评价研究报告
Marijn J van Es,Nienke A Timmermans,Marjan J Meinders et al.
Marijn J van Es et al.
Background: The importance of considering the meaningfulness of digital measures is increasing with the expanding use of sensor-based monitoring in clinical trials. Regulatory guidelines emphasize measuring meaningful asp...
Functional Regression Methods for Estimating 24-Hour Ambulatory Blood Pressure and Heart Rate Parameters in Narcolepsy Type 1 [0.03%]
用于估计1型发作性嗜睡病24小时动态血压和心率参数的功能回归方法
Marta Karas,Francesco Onorati,Raul Torres et al.
Marta Karas et al.
Introduction: The nocturnal dip, a physiological drop in nocturnal blood pressure (BP), is driven by the autonomic nervous system. A reduction of
The Digital Physical Exam: A Pilot Exploring the Utility of Smartphone and Smartwatch Wearable Data for Hospital Medicine [0.03%]
数字化体格检查：探索智能手机和智能手表穿戴式数据在医院医学中的应用价值的试点研究
Ujwal Srivastava,Ekanath Shrihari Rangan,Wasan Kumar et al.
Ujwal Srivastava et al.
Introduction: Wearable devices such as smartphones and smartwatches collect large volumes of biometric data on patients, yet their utility for admitting inpatient providers remains largely unexplored. ...
Voice Signatures of Momentary Psychological Stress in Real-Life Environments: Results from the Colive Voice Study [0.03%]
共享生活语音研究中的瞬间心理压力的声音特征
Noémie Topalian,Abir Elbeji,Charline Bour et al.
Noémie Topalian et al.
Introduction: Voice is hypothesized to be modulated by stress and thus could be used as a potential stress detection and monitoring solution. In the literature, vocal biomarkers for stress have mostly been developed on ex...
Toward a Speech-Based Model of Premanifest Huntington's Disease Progression Using Deep Neural Networks [0.03%]
基于深度神经网络的隐性亨廷顿舞蹈症进展的语音模型研究
Luis A Sierra,Japleen Kaur,Namhee Kwon et al.
Luis A Sierra et al.
Introduction: Huntington's disease (HD) is a progressive neurodegenerative disorder characterized by motor, cognitive, and psychiatric decline. The Unified Huntington's Disease Rating Scale Total Motor Score (UHDRS-TMS) i...
Facial Expression and Predicting and Monitoring Response to Depression Treatment: A Systematic Review [0.03%]
面部表情在抑郁症治疗反应预测和监测中的作用：系统性综述
David Plevin,Simon Hartmann,K Oliver Schubert et al.
David Plevin et al.
Introduction: The identification of biomarkers for treatment response in major depression is critical to the further development of personalized treatment. There is a recognized relationship between facial expression and ...
Actigraphy-Quantified Physical Activity Measurements in Patients with Symptomatic LMNA-Related Dilated Cardiomyopathy in REALM-Dilated Cardiomyopathy [0.03%]
REALM-扩张型心肌病中LMNA相关症状性扩张型心肌病患者的活动定量检测
Pablo Garcia-Pavia,Xuemei Cai,Junrui Di et al.
Pablo Garcia-Pavia et al.
Introduction: Actigraphy-quantified physical activity (PA) allows for continuous measurements of PA that are reflective of real-world day-to-day functioning and morbidity in persons living with cardiomyopathy. This analys...
3DeepVOG: An Open-Source Framework for Real-Time, Accurate 3D Gaze Tracking with Deep Learning [0.03%]
基于深度学习的实时准确的3D凝视追踪开源框架
Jingkang Zhao,Seyed-Ahmad Ahmadi,Julian Decker et al.
Jingkang Zhao et al.
Introduction: Eye movements are key biomarkers for diagnosing and monitoring neuro-otological, neuro-ophthalmological and neurodegenerative disorders. Video-oculography (VOG) systems enable detection of small, rapid eye m...