Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Equipments Used To Measure Blood Pressure01:30

Equipments Used To Measure Blood Pressure

967
Direct Method
This invasive approach involves cannulating a peripheral artery. During each cardiac contraction, pressure generates mechanical motion within the catheter, transmitted through rigid, fluid-filled tubing to a transducer. This transducer converts mechanical motion into electrical signals displayed as waveforms on a monitor. An automatic flushing system prevents blood backflow. Due to the potential risk of unexpected arterial blood loss, this method is primarily used in intensive...
967
Assessment of radial pulse01:11

Assessment of radial pulse

824
Assessment of Radial Pulse
The radial pulse, located at the wrist, is often the preferred site for assessing peripheral pulse because of its accessibility and dependability. The process of determining the radial pulse involves several steps:
824
Pulse rhythm01:30

Pulse rhythm

796
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
796
Assessment of apical radial pulse01:25

Assessment of apical radial pulse

742
Apical-Radial (A-R) Pulse Assessment
The A-R pulse assessment involves simultaneous evaluation of the apical and radial pulses. When the apical and radial pulse rates vary, this assessment helps identify a pulse deficit.
Pre-Procedural Preparation
742
Guidelines For Measuring Vital Signs01:19

Guidelines For Measuring Vital Signs

1.6K
Following these guidelines can help nurses accurately measure vital signs, assess changes in patient conditions, and provide timely treatment when necessary. Adhering closely to the guidelines ensures the accuracy and reliability of the results.
Before taking a patient's vital signs, a nurse would consider and assess the patient's comfort level and ensure appropriate equipment is available.
1.6K
Assessment of blood pressure in brachial artery(two-step method)01:23

Assessment of blood pressure in brachial artery(two-step method)

705
Measuring blood pressure is a fundamental skill in healthcare that aids in diagnosing and monitoring hypertension and other cardiovascular conditions. An aneroid sphygmomanometer, commonly used in clinical settings, offers a manual and precise method for blood pressure measurement. The technique for using this instrument involves specific steps that must be carefully executed to ensure accuracy. The following detailed description outlines a two-step technique for assessing blood pressure using...
705

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

The Rlign algorithm for enhanced electrocardiogram analysis through heart rate-corrected ECG alignment for explainable classification and clustering.

European heart journal. Digital health·2026
Same author

Implementation and User Evaluation of an On-Premise Large Language Model in a German University Hospital Setting: Cross-Sectional Survey.

JMIR AI·2026
Same author

Response to 'promising advances and remaining challenges in AI-driven QTc estimation' by Zekai Yu.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2026
Same author

End-to-End Platform for Electrocardiogram Analysis and Model Fine-Tuning: Development and Validation Study.

Journal of medical Internet research·2026
Same author

QTcNet: a deep learning model for direct heart rate corrected QT interval estimation.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2025
Same author

Integrating <sup>68</sup>Ga-PSMA-11 PET/CT with Clinical Risk Factors for Enhanced Prostate Cancer Progression Prediction.

Cancers·2025
Same journal

Identifying Behavior Change Techniques for Digital Interventions Addressing Alcohol and Tobacco Co-Use: Findings From a Delphi Consensus Study.

JMIR formative research·2026
Same journal

Use of Electronic Patient Record Systems for Rapid Response to an MHRA Public Assessment Report: Retrospective Observational Study.

JMIR formative research·2026
Same journal

Digital Cognitive Behavioral Therapy for Older Adults With Symptoms of Depression: Feasibility Cohort Study.

JMIR formative research·2026
Same journal

Using Ecological Momentary Assessment to Document and Investigate Caregiver Practices Between Pediatric Therapy Sessions: Prospective Pilot Cohort Study.

JMIR formative research·2026
Same journal

Virtual Reality-Based Relaxation Training and Symptom Improvement Among Inpatients With Depressive Disorders: Retrospective Nonrandomized Comparative Study.

JMIR formative research·2026
Same journal

Exploring Informal Caregivers' Perception of the Olera Digital Caregiving Assistance Platform for Dementia Care: Mixed Methods Evaluation Study.

JMIR formative research·2026
查看所有相关文章

相关实验视频

Updated: Jun 30, 2025

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
05:51

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

442

智能手表与常规震动相比 文档:描述性比较 描述性比较

Catharina Marie van Alen1, Alexander Brenner1, Tobias Warnecke2

  • 1Institute of Medical Informatics, University of Münster, Münster, Germany.

JMIR formative research
|March 20, 2024
PubMed
概括
此摘要是机器生成的。

智能手表可以自动检测帕金森病患者的震,比传统的临床评估提供更客观的测量. 这项技术有助于临床和家庭监测.

关键词:
帕金森病是帕金森病的一种疾病.移动应用程序 移动应用程序运动障碍 运动障碍智能可穿戴设备是一种智能可穿戴设备.智能手表 智能手表,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,震动的文档 震动的文档发生震的发生.震得分得分 震得分得分

更多相关视频

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

8.9K
Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
05:03

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

Published on: December 11, 2019

8.6K

相关实验视频

Last Updated: Jun 30, 2025

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
05:51

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

442
Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

8.9K
Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
05:03

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

Published on: December 11, 2019

8.6K

科学领域:

  • 神经学 神经学
  • 生物医学工程 生物医学工程
  • 可穿戴技术可穿戴技术

背景情况:

  • 在帕金森病中对震的临床评估往往是主观的.
  • 目前用于量化震严重程度和频率的方法存在局限性.
  • 需要客观的,持续的震监测,以更好地管理患者.

研究的目的:

  • 为了比较智能手表传感器数据的准确性,与常规的神经评估进行震评估.
  • 引入一种由可穿戴技术衍生的新型震发生率评分.
  • 评估智能手表在帕金森病中自动检测的实用性.

主要方法:

  • 142名患有帕金森病的参与者和77名健康的对照人被录取.
  • 除了从智能手表传感器收集数据外,还进行了神经评估.
  • 使用智能手表传感器数据计算了震发生得分.

主要成果:

  • 智能手表数据提供了一个客观的震发生率得分.
  • 这些发现支持智能手表在自动震动检测方面的潜力.
  • 这种方法显示出希望作为传统临床评估的宝贵补充.

结论:

  • 智能手表提供了一个可行的解决方案,用于对帕金森病的客观震评估.
  • 通过智能手表自动检测震可以补充传统的神经评估.
  • 可穿戴技术对临床和远程患者监控设置都有潜力.