Validation of a Wearable Sensor Prototype for Measuring Heart Rate to Prescribe Physical Activity: Cross-Sectional Exploratory Study [0.03%]
一种可穿戴传感器原型的验证研究：用于测量心率以规定运动量的横断面探索性研究
Fernanda Laís Loro,Riane Martins,Janaína Barcellos Ferreira et al.
Fernanda Laís Loro et al.
Background: Wearable sensors are rapidly evolving, particularly in health care, due to their ability to facilitate continuous or on-demand physiological monitoring. ...
Home Automated Telemanagement System for Individualized Exercise Programs: Design and Usability Evaluation [0.03%]
家庭自动化远程管理系统的居家个性化运动方案设计与可用性评价
Aref Smiley,Joseph Finkelstein
Aref Smiley
Background: Exercise is essential for physical rehabilitation, helping to improve functional performance and manage chronic conditions. Telerehabilitation offers an innovative way to deliver personalized exercise programs...
User Perceptions of Wearability of Knitted Sensor Garments for Long-Term Monitoring of Breathing Health: Thematic Analysis of Focus Groups and a Questionnaire Survey [0.03%]
针织传感服装长期监测呼吸健康穿戴性的用户感知：焦点小组和问卷调查的语义分析
Kristel Fobelets,Nikita Mohanty,Mara Thielemans et al.
Kristel Fobelets et al.
Background: Long-term unobtrusive monitoring of breathing patterns can potentially give a more realistic insight into the respiratory health of people with asthma or chronic obstructive pulmonary disease than brief tests ...
Trends in South Korean Medical Device Development for Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder: Narrative Review [0.03%]
韩国注意力缺陷多动障碍和自闭症谱系障碍医疗设备开发趋势：叙述性综述
Yunah Cho,Sharon L Talboys
Yunah Cho
Background: Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are among the most prevalent mental disorders among school-aged youth in South Korea and may play a role in the increasing pre...
Classifying Residual Stroke Severity Using Robotics-Assisted Stroke Rehabilitation: Machine Learning Approach [0.03%]
基于机器学习的机器人辅助卒中康复方案残余肢体力量分类方法研究
Russell Jeter,Raymond Greenfield,Stephen N Housley et al.
Russell Jeter et al.
Background: Stroke therapy is essential to reduce impairments and improve motor movements by engaging autogenous neuroplasticity. Traditionally, stroke rehabilitation occurs in inpatient and outpatient rehabilitation faci...
Assessing the Accuracy of Smartwatch-Based Estimation of Maximum Oxygen Uptake Using the Apple Watch Series 7: Validation Study [0.03%]
基于苹果手表Series 7估算最大摄氧量的准确性验证研究
Polona Caserman,Sungsoo Yum,Stefan Göbel et al.
Polona Caserman et al.
Background: Determining maximum oxygen uptake (VO2max) is essential for evaluating cardiorespiratory fitness. While laboratory-based testing is considered the gold standard, sports watches or fitness trackers offer a conv...
Agreement Between Apple Watch and Actical Step Counts in a Community Setting: Cross-Sectional Investigation From the Framingham Heart Study [0.03%]
苹果手表与Actical计步器在社区环境中的计步一致性：弗雷明汉心脏研究的横断面调查
Nicole L Spartano,Yuankai Zhang,Chunyu Liu et al.
Nicole L Spartano et al.
Background: Step counting is comparable among many research-grade and consumer-grade accelerometers in laboratory settings. Objective: ...
Stroke Survivors' Interaction With Hand Rehabilitation Devices: Observational Study [0.03%]
卒中后患者与上肢康复机器人交互观察性研究
Chioma Obinuchi Wodu,Gillian Sweeney,Milena Slachetka et al.
Chioma Obinuchi Wodu et al.
Background: The hand is crucial for carrying out activities of daily living as well as social interaction. Functional use of the upper limb is affected in up to 55% to 75% of stroke survivors 3 to 6 months after stroke. R...
Tracking the Presence of Software as a Medical Device in US Food and Drug Administration Databases: Retrospective Data Analysis [0.03%]
在美国食品药品管理局数据库中追踪软件医疗器械的存在：回顾性数据分析
Aaron Ceross,Jeroen Bergmann
Aaron Ceross
Background: Software as a medical device (SaMD) has gained the attention of medical device regulatory bodies as the prospects of standalone software for use in diagnositic and therapeutic settings have increased. However,...
Physical Activity Evaluation Using a Voice Recognition App: Development and Validation Study [0.03%]
基于语音识别的应用的体力活动评估研究：开发与验证阶段
Hideyuki Namba
Hideyuki Namba
Background: Historically, the evaluation of physical activity has involved a variety of methods such as the use of questionnaires, accelerometers, behavior records, and global positioning systems, each according to the pu...