Design of RZF antenna for ECG monitoring using IoT

• Published in: Multimedia tools and applications 2020-02, Vol.79 (5-6), p.4011-4026
• Main Authors: Ramesh, G. P., Kumar, N. Mohan
• Format: Article
• Language: English
• Subjects: Antenna design; Antenna radiation patterns; Antennas; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Echocardiography; Ground plane; Heart; Heart rate; Impedance matching; Internet of Things; Multimedia Information Systems; Portable equipment; Power amplifiers; Smith chart; Special Purpose and Application-Based Systems; Transceivers
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-019-7581-9

The application of smart health by using the Internet of Things as a medium between the transmissions of the Electro-cardio gram signal acquired from the human body to the care takers. We implemented a ECG monitoring system. Here place the electrodes on the surface of the patient’s body by time to time. These signals are transferred to the cloud by using the transmission modules which has been implemented using Rectangular Zig Fractional (RZF) antenna. The design and implementation of RZF antenna with triple-band Doppler system for contactless heartbeat monitoring is proposed. It consists of a slotted rectangular shaped ground plane and a modified radiating patch with four-folded arms that integrates microwave transceivers and power amplifier, which occupies a compact size of 12 × 18 mm 2 to be easily embedded within a portable device as an internal antenna. The antenna shows omnidirectional radiation pattern with the gain value of 8.4 dBi, 9.5 dBi and 13.5dBi resonates at 2.4/3.5/5.8 GHz with the stability factor greater than 1 and the 50 Ω impedance matching with Smith Chart is achieved. The RZF Antenna system is satisfactory for monitoring heart beat and heart beat rate variability vital signs. The antenna is tested at 2.4/3.5/5.8 GHz frequency for transmitted power levels ranges 0 dBm and-5 dBm. With Doppler system, the heart beat rate and heart rate variability are acquired from the reflected signals and compared to the simultaneous ECG signals and the information of HR and HRV is then transferred to the receiver or doctor end by means of IoT server.