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相关概念视频

Pulse rhythm01:30

Pulse rhythm

847
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...
847
Holter Monitor: 24-Hour Monitoring01:23

Holter Monitor: 24-Hour Monitoring

59
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...
59

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相关实验视频

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Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
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智能床上的时空集群映射系统用于患者监测.

Mohamed Maddeh1, Fahima Hajjej2, Malik Bader Alazzam3

  • 1College of Applied Computer Science, King Saud University, Riyadh 11451, Saudi Arabia.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括

这项研究介绍了使用物联网 (IoT) 和大数据进行远程患者监控的智能患者房间系统. 该系统有效地跟踪患者的移动,提高医疗保健质量和患者福祉.

关键词:
信息通信技术设备 信息通信技术设备行为日志 行为日志数据分析数据分析.运动活动运动活动运动活动活动.网络集群是一个网络集群.传感器节点的传感器节点时间空间集群是一个时间空间集群.时间序列分析分析时间序列分析

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科学领域:

  • * 计算机科学与工程
  • * 医疗信息学 医疗信息学
  • * 人工智能 * 人工智能

背景情况:

  • * 需要创新的技术解决方案来提高患者的生活质量和治疗.
  • * 物联网 (IoT) 和大数据分析的潜力,用于医疗保健专业人员远程监控患者.
  • * 用户友好且易于实施的技术工具在医疗保健环境中的重要性.

研究的目的:

  • *为智能患者室使用提供基于集群的网络系统.
  • * 为了使护理人员和护理人员能够高效,快速地使用.
  • *通过先进的监测来改善医疗和医疗保健服务.

主要方法:

  • * 开发一个基于集群的网络系统,其中有一个外部单元.
  • * 实施云存储机制,用于数据处理和存储.
  • *利用无线或射频模块进行数据传输以及时空集群映射系统用于时间序列数据生成.

主要成果:

  • * 该系统有效地从从各种集群收集的传感器数据中创建时间序列数据.
  • * 时空集群映射系统在预测患者移动行为方面表现出高精度.
  • *对运动模式的分析揭示了不同的持续时间,平均移动时间为7.0%,在活动较低的时期为7%至14%.

结论:

  • * 拟议的智能病房系统是改善各种环境中医疗保健服务的宝贵工具.
  • * 系统能够准确预测患者运动的能力提高了远程监控能力.
  • *该技术提供无集成,可用于医疗机构,老年社区和私人住宅.