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相关概念视频

Pulse rhythm01:30

Pulse rhythm

925
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...
925
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

259
Holter monitoring is a continuous electrocardiography (ECG) recording that tracks the heart's electrical activity over an extended period, generally 24 to 48 hours. This noninvasive diagnostic tool detects irregular heart rhythms that may not be captured during a standard ECG performed in a clinical setting.DeviceThe Holter monitor is a portable, small device connected to several electrodes on the patient's chest. These electrodes detect the heart's electrical signals and transmit them to the...
259

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相关实验视频

Updated: Sep 9, 2025

Home-Based Monitor for Gait and Activity Analysis
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通过可穿戴设备在家中持续监控运动:系统性审查

Gianmatteo Farabolini1, Nicolò Baldini1, Alessandro Pagano1

  • 1Department of Experimental and Clinical Medicine, Politecnica delle Marche University, 60126 Ancona, Italy.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
概括

穿戴式传感器显示出在慢性疾病中远程运动监测的巨大潜力. 然而,临床采用,数据隐私和标准化方面的挑战需要解决.

关键词:
数字健康在家进行监控惯性测量单位 (IMU)运动症状远程评估可穿戴式传感器

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相关实验视频

Last Updated: Sep 9, 2025

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科学领域:

  • 生物医学工程
  • 数字健康
  • 康复技术

背景情况:

  • 在慢性疾病中,可穿戴式传感器可持续远程监测运动症状和身体活动.
  • 穿戴式传感器技术的临床采用有限是由于医疗保健专业人员的认识和信心差距.
  • 神经和肌肉骨疾病是可穿戴传感器应用的关键领域.

研究的目的:

  • 系统地审查可穿戴传感器的使用,以便在家中持续监控机器.
  • 在各种条件下分析传感器的用途,类型,可行性和有效性.
  • 确定可穿戴传感器技术临床整合的障碍和促进因素.

主要方法:

  • 按照PRISMA指南进行系统审查,搜索PubMed,Scopus和科学网络.
  • 包括72项研究,涉及7949名患有神经,肌肉骨或类风湿病的参与者.
  • 分析重点是传感器类型 (IMU,加速度计,陀螺仪),监测持续时间,可行性和有效性.

主要成果:

  • 其中神经系统疾病,尤其是帕金森病, 是最受研究的.
  • 报告显示患者的服药程度很高 (≥70%),与临床评估相一致.
  • 只有50%的研究是受控试验,只有5. 6%是随机的.

结论:

  • 可穿戴式传感器显示出对现实世界运动功能监测的巨大潜力.
  • 持续存在的挑战包括道德考虑,数据隐私,标准化和医疗保健准入.
  • 整合人工智能可以提高预测准确性和个性化患者护理.