Internet of Things Applied in Healthcare Based on Open Hardware with Low-Energy Consumption
Leonardo Juan Ramírez López, Gabriel Alberto Puerta Aponte, Arturo Rodríguez García · Healthcare Informatics Research · 2019
OBJECTIVES: ) and heart rate (HR) with low-energy consumption. METHODS: and HR measurements that will allow the monitoring and estimation in real time of the user's state and health related to the established parameters. Measurements were acquired and recorded using a remote web server that recorded the acquired variables for further processing. The statistical analysis data allows comparison of the registered data measured with theoretical models. RESULTS: and HR variables. The most significant result was to achieve energy consumption 20% lower than that of devices in the market. CONCLUSIONS: In summary, the acquired data validation based on the IoT model had a transmission error of 0.001% which proves its applicability in healthcare.