Healthcare Informatics Research · 2019 · 45 citations · 16 references
ComputingHealth InformaticsInformation TechnologyEdge ComputingInternet Of ThingsSensorsIot Data AcquisitionIot Embedded SystemsIot SensorsSensor NetworksVital Signs AssessmentWireless Sensor NetworksBluetooth Low EnergyHeart RateHeart Rate MonitoringIot System DesignOxygen SaturationPhysiological Signal MonitoringPulse OximetryRemote Patient Monitoring
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.
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Fog and IoT: An Overview of Research Opportunities
Mung Chiang, Tao Zhang · IEEE Internet of Things Journal · 2016 · 2.3K citations