| dc.description.abstract | Reliable and affordable clinical monitoring remains a major challenge in low- and
middle-income countries, where hospitals often face shortages of equipment, unstable
power, and fragmented digital infrastructures. This thesis presents an integrated IoT-
enabled biomedical system that addresses these gaps through three complementary com-
ponents: a rapidly deployable phototherapy device for neonatal jaundice, a wearable vital
sign monitoring platform for continuous measurement of temperature, ECG, pulse rate,
and SpO2, and a scalable Internet of Medical Things (IoMT) framework that unifies de-
vice data into a single operational environment. The phototherapy device provides stable
irradiance, modular battery-backed operation, and remote status reporting. The vital
sign monitor enables long-duration physiological sensing supported by bedside and cloud
dashboards. The IoMT platform incorporates MQTT-based data ingestion, Node-RED
edge processing, hybrid MySQL–MongoDB storage, and automated WhatsApp alerts to
clinicians. System evaluations demonstrate sub-second latency, reliable data delivery,
and improved response times in simulated clinical conditions. Together, these contribu-
tions form a cohesive, low-cost, and scalable biomedical ecosystem designed for resource-
constrained healthcare settings. | en_US |
