Hypertension Screening Using Acoustic Analysis and Machine Learning of Random Speech Samples: A Feasibility Study [0.03%]
基于声学分析和机器学习的高血压筛查：一项可行性研究
Behrad TaghiBeyglou,Jaycee Kaufman,Yan Fossat
Behrad TaghiBeyglou
Introduction: Hypertension is the leading risk factor for cardiovascular disorders. Early detection and initiation of treatment have been identified as the most effective ways to reduce the burden of hypertension. The mos...
A Pilot Study of Smartphone Eye Tracking for Detection of Positional Nystagmus [0.03%]
智能手机眼动追踪检测位置性眼球震颤的试点研究
Vidith Phillips,Pouya B Bastani,Hector Rieiro et al.
Vidith Phillips et al.
Introduction: Detecting positional nystagmus is essential for diagnosing benign paroxysmal positional vertigo (BPPV). Therefore, developing methods to streamline this diagnosis can improve timely patient management and he...
A Smartphone Application to Measure Walking Cadence before Major Abdominal Surgery in Older Adults [0.03%]
一种测量老年人大手术前步态节奏的智能手机应用程序
Daniel Steven Rubin,Marcin Straczkiewicz,Emi Yamamoto et al.
Daniel Steven Rubin et al.
Introduction: Preoperative physical functional assessments (i.e., assessments that measure capability to perform physical activity) are integral to estimate perioperative risk for older adults. However, these assessments ...
Effects of On- and Off-Medication Periods on Walking Performance in Parkinson's Disease: Insights from Movement Synergies [0.03%]
帕金森病的服药和停药期对步行表现的影响：运动协同作用的新见解
Arunee Promsri,Peter Federolf
Arunee Promsri
Introduction: Impaired walking performance significantly impacts the quality of life in individuals with Parkinson's disease (PD). This study aimed to examine the effects of medication "on" and "off" periods on walking pe...
Feasibility of Using Smartphone Eye Tracking for Self-Recording Positional Tests [0.03%]
智能手机眼动追踪自录定位测试的可行性研究
Pouya B Bastani,Vidith Phillips,Hector Rieiro et al.
Pouya B Bastani et al.
Introduction: Benign paroxysmal positional vertigo (BPPV) is a common cause of dizziness that is diagnosed by detecting nystagmus through positional maneuvers. Limited access to expert clinicians to correctly perform and ...
Chair-Rising Power as Digital Biomarker: Validation against Jumping Power and Chair-Rising Time in Adults Aged 32-92 Years [0.03%]
椅子起身功率的数字生物标志物验证：与跳跃功率和椅子起身时间在32至92岁成人中的对比研究
Jörn Rittweger,Maik Gollasch,Roswitha Dietzel et al.
Jörn Rittweger et al.
Introduction: The chair-rising test (CRT) is being widely used to assess lower body power. The test provides valuable information about functional capacity and other health outcomes. However, most centers use timing-based...
Real-World Postural Transitions as Biomarkers of Functional Impairment in Duchenne Muscular Dystrophy [0.03%]
杜氏肌营养不良功能损害的姿势转换生物标志物研究
Cailin J Gramling,Dheeraj Dhanvee Kairamkonda,Jamie L Marshall et al.
Cailin J Gramling et al.
Duchenne muscular dystrophy (DMD) is a progressive neuromuscular disorder that impairs daily functioning and results in premature death. Current clinical assessments are widely used for characterizing functional impairment but have limitati...
Sidharth Abrol,Biswajit Das,Srikanth Nallanthighal et al.
Sidharth Abrol et al.
The physical basis of speech production in humans requires the coordination of multiple anatomical systems, where inhalation and exhalation of air through lungs is at the core of the phenomenon. Vocalization happens during exhalation, while...
Interpretation of Change in Novel Digital Measures: A Statistical Review and Tutorial [0.03%]
新型数字测量变化的解释：统计学回顾与教程
Andrew Trigg,Bohdana Ratitch,Frank Kruesmann et al.
Andrew Trigg et al.
Background: Novel clinical measures assessed by a digital health technology tool require thresholds to interpret change over time, such as the minimal clinically important difference. Establishing such thresholds is a key...
Analysis Method of Real-World Digital Biomarkers for Clinical Impact in Cancer Patients [0.03%]
分析癌症患者临床影响的现实世界数字生物标志物的方法
Ingrid Oakley-Girvan,Yaya Zhai,Reem Yunis et al.
Ingrid Oakley-Girvan et al.
Introduction: Wearable technologies can enhance measurements completed from home by participants in decentralized clinical trials. These measurements have shown promise in monitoring patient wellness outside the clinical ...