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Related Concept Videos

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

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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...
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Related Experiment Video

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Spatio-Temporal Cluster Mapping System in Smart Beds for Patient Monitoring.

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
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Summary
This summary is machine-generated.

This study introduces a smart patient room system using the Internet of Things (IoT) and big data for remote patient monitoring. The system efficiently tracks patient movement, enhancing healthcare quality and patient well-being.

Keywords:
ICT devicesbehavior logsdata analyticsmovement activitynetwork clustersensor nodesspatio-temporal clustertime series analysis

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Area of Science:

  • * Computer Science and Engineering
  • * Health Informatics
  • * Artificial Intelligence

Background:

  • * The need for innovative technological solutions to enhance patient quality of life and treatment delivery.
  • * The potential of the Internet of Things (IoT) and big data analytics for remote patient monitoring by healthcare professionals.
  • * The importance of user-friendly and easily implementable technological tools in healthcare settings.

Purpose of the Study:

  • * To present a network cluster-based system for smart patient room usage.
  • * To enable efficient and swift use by nursing staff and caretakers.
  • * To improve medical and healthcare services through advanced monitoring.

Main Methods:

  • * Development of a network cluster-based system with an exterior unit.
  • * Implementation of a cloud storage mechanism for data processing and storage.
  • * Utilization of wireless or radio frequency modules for data transfer and a spatio-temporal cluster mapping system for time series data generation.

Main Results:

  • * The system effectively creates time series data from sensor data collected from various clusters.
  • * The spatio-temporal cluster mapping system demonstrated high precision in anticipating patient moving behavior.
  • * Analysis of movement patterns revealed distinct durations, with an average moving duration of 7.0% and a range of 7% to 14% during periods of low activity.

Conclusions:

  • * The proposed smart patient room system is a valuable tool for improving healthcare services in various settings.
  • * The system's ability to accurately predict patient movement enhances remote monitoring capabilities.
  • * The technology offers a seamless integration for use in healthcare institutions, senior communities, and private homes.