Framework for propagating stress control message using heartbeat based IoT remote monitoring analytics

Abstract

Abnormal level of stress is the root indicator factor to have significant impact over the health of heart and there is a close relationship between the stress levels with heart rate. Review of the existing literature showcase that there has been various work that has been carried out towards investigation of considering heart rate with an internet-of-things (IoT) system. Apart from this, existing system doesnt offer any instantaneous solution where certain intimation is offered in real-time to the user with wearables as a solution to control the stress condition. Therefore, the current paper introduces a novel framework where the sampled heart rates of the patients are captured by IoT deivices. The aggregated data are further forwarded to the cloud analytic system that uses correlation to extract the appropriate message. The system after being applied with teh machine learning approach could further extract the elite outcome followed by forwarding the contextual data to teh user. Using an analytical modelliig, the proposed system shows that it offers better accuracy and reduced processing time when compared with other machine learning approach and thereby it proves to be cost effective solution in IoT system over medical case study.

Análisis de latencia en modelo FANS para servicios IoT

“…Desde el punto de vista del receptor tiene la ventaja de que es completamente predecible, lo cual permite una mejor eficiencia en la reserva de recursos destinados a su procesamiento. Este tipo de tráfico puede encontrarse en dispositivos IoT que mantengan algún tipo de conexión continua tipo latido (hertbeat) para monitoreo constante de algún parámetro (Akanksha, 2020).…”

Online instrument systems in reality for remote wiring and measurement of electronic in e-learning from LabVIEW+NI ELVIS II vs embedded system+web services

“…allows you to program on many different targets thanks to its many libraries, you can interface and control the following cards and devices: VXI, PXI, Compact PCI, PCI, Express PCI, Express PXI, USB, FireWire, GPIB, CAN RS 232, 422, 485 TCP/IP, Bluetooth, WIFI, Programmable Controllers (PLC), Modbus, Profibus[29]. This version S2 of E@Slab laboratory is based on the Elvis II card.…”