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June 6, 2026Journal of EngineeringOpen Access

Remote Healthcare Monitoring using Adaptive Data Transmission for Anomaly Detection and Risk Assessment in a Wireless Sensor Network

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Authors

AFAmina A. Fadhil

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Overview

Randomized trial demonstrates improved risk assessment in remote healthcare, indicating cost and time savings.

Key Points

  • This research aims to develop a system for remote health status tracking to enhance patient monitoring and emergency response.
  • Integrated system for continuous monitoring using wireless medical sensor networks (WMSNs).
  • Physiological data collection includes heart rate, blood oxygen saturation, and temperature.
  • Adaptive transmission rates are adjusted based on assessed risk levels.
  • Real-time monitoring allows urban specialists to provide timely diagnostics remotely.
  • Adaptive sampling significantly reduces power consumption and increases network efficiency during emergencies.
  • Statistical analysis reveals improved accuracy in abnormality detection and reduced false alarms.

Cite This Study

Amina A. Fadhil (2026) studied this question.

synapsesocial.com/papers/6a23b89f71a5da9775e74bb3https://doi.org/10.31026/j.eng.2026.06.09
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