Intelligent Biosensors for Real-Time Health Monitoring
DOI:
https://doi.org/10.15662/IJEETR.2026.0802083Keywords:
Intelligent biosensors, real-time health monitoring, wearable devices, health diagnosticsAbstract
The proposed intelligent biosensor framework consists of four major modules: sensing unit, signal processing module, wireless communication module, and cloud-based analytics platform. The biosensor captures physiological parameters such as heart rate, glucose levels, and body temperature. The sensed signals are processed using embedded signal conditioning circuits and transmitted through IoT communication protocols such as Bluetooth Low Energy (BLE) or WiFi. The collected data is stored in cloud servers where machine learning algorithms analyze the patterns to detect anomalies and predict potential health risks. The analyzed data is then presented to healthcare providers and patients through mobile applications or monitoring dashboards. The fusion of biosensing technologies with artificial intelligence and Internet of Things (IoT) frameworks enhances data interpretation, decision-making, and remote monitoring, minimizing human error and improving patient outcomes. This abstract reviews recent developments in intelligent biosensors, highlighting their design, functionality, and applications in healthcare, while also discussing the challenges related to sensor accuracy, data privacy, integration, and cost. The adoption of such systems promises to transform traditional healthcare approaches into proactive, data-driven, and patient-centric models
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