aceZigBee Based Low Latency IoT and AI Integrated Framework for Real Time Telehealth Monitoring
The Internet of Things (IoT) and Artificial Intelligence (AI) have opened up new frontiers in remote health monitoring with the integration of technologies and transformative solutions in order to detect real-time health monitoring and disparities. This article shows an innovative and integrated wireless health surveillance system, which is aimed at auxiliary environments, especially for elderly and chronically ill patients. The system links IoT sensors to monitor heart rate, body temperature, and oxygen level w…
In a real-world care facility test by April 2026, the ZigBee-based AI telehealth framework monitoring elderly and chronically ill patients achieved 95% accuracy with 100% recall for health discrepancy detection while operating at 120 ms transmission delay and 3.8 mW/h power consumption.
Evidence
- Peer-reviewedEmerging Science Journal2026-04-01
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Truvace Impact Record TRV-2026-0143, v1: “ZigBee Based Low Latency IoT and AI Integrated Framework for Real Time Telehealth Monitoring.” Truvace, 2026-07-13. /record/TRV-2026-0143 (accessed at citation time). sha256 15623d73a2eea37e…
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