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Remote Pain Monitoring Using Fog Computing for e-Healthcare: An Efficient Architecture.

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  • 1Department of Electrical Engineering, The University of Lahore, Lahore 54000, Pakistan.

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Summary
This summary is machine-generated.

This study proposes a fog computing system for remote pain monitoring, reducing latency and network usage for better patient care. The fog-based approach proved more efficient than cloud systems in simulations.

Keywords:
IoTcloud computinge-healthcarefog computingremote pain monitoring

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Area of Science:

  • * Internet of Things (IoT) and medical signal processing for enhanced healthcare.
  • * Smart healthcare systems and remote patient monitoring.

Background:

  • * Increasing patient numbers and remote locations challenge traditional healthcare delivery.
  • * Existing cloud-based e-healthcare systems face high latency issues, hindering sensitive applications.
  • * Patients unable to self-report pain, such as minors and ICU patients, require advanced monitoring.

Purpose of the Study:

  • * To design a smart healthcare system for remote pain monitoring.
  • * To leverage fog computing to overcome the latency limitations of cloud-based e-healthcare.
  • * To reduce workload, time wastage, and accommodation issues in patient care.

Main Methods:

  • * Proposed a fog computing architecture for a remote pain monitoring system.
  • * Utilized IoT devices with bio-sensors (sEMG, ECG) for patient monitoring.
  • * Validated the approach using iFogSim simulations, comparing with cloud-based systems.

Main Results:

  • * The proposed fog computing approach significantly reduced latency.
  • * Network consumption was notably decreased compared to cloud-based systems.
  • * Simulations confirmed the effectiveness of fog computing for remote pain monitoring.

Conclusions:

  • * Fog computing is a viable and efficient paradigm for latency-sensitive remote healthcare applications.
  • * The proposed system effectively minimizes delay and network utilization in patient monitoring.
  • * This approach enhances the scalability and accessibility of healthcare services, especially for remote or critical patients.