Journal of Medical Engineering & Technology · 2021 · 47 citations · 20 references
ComputingBiomedical EngineeringCloud ComputingBiomedical Signal ProcessingCloud InfrastructureInternet Of ThingsCardiovascular MonitoringElectrocardiographyHealth Monitoring SystemsIot Cloud PlatformsVital Signs AssessmentVital Signs RecordingBluetooth Low EnergyGateway DesignLow-power Data AcquisitionPhysiological Signal MonitoringQrs Complex DetectionReal-time MonitoringRemote Cardiac MonitoringRemote Vital Signs Monitoring
Statistical reports all around the world have deemed cardiovascular diseases (CVDs) as the largest contributor to the death count. The electrocardiogram (ECG) is a widely accepted technology employed for investigation of CVDs of the person. The proposed solution deals with an efficient internet of things (IoT) enabled real-time ECG monitoring system using cloud computing technologies. The article presents a cloud-centric solution to provide remote monitoring of CVD. Sensed ECG data are transmitted to S3 bucket provided by Amazon web service (AWS) through a mobile gateway. AWS cloud uses HTTP and MQTT servers to provide data visualisation, quick response and long-live connection to device and user. Bluetooth low energy (BLE 4.0) is used as a communication protocol for low-power data transmission between device and mobile gateway. The proposed system is implemented with filtering algorithms to ignore distractions, environmental noise and motion artefacts. It offers an analysis of ECG signals to detect various parameters such as heartbeat, PQRST wave and QRS complex intervals along with respiration rate. The proposed system prototype has been tested and validated for reliable ECG monitoring remotely in real-time.
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