The purpose our work is to analyze and study the waveform of the Electrocardiograph (ECG). Basically, ECG signal is the electrical activity of the heart over a period. So, by analysis of the Electrocardiograph signal we get the condition of heart. We can do this by numerous methods for the detection of the cardiac diseases for example, Wavelet Transform, FFT (Fast Fourier Transformers) as well as MATLAB etc. But currently, we only do this on MATLAB that’s multipurpose tool. MATLAB is multipurpose software that’s very efficiently by using its different techniques and algorithms we can find out the abnormalities that’s present in Electrocardiograph signal.

A Fork dual-band antenna is proposed with metamaterial structure for WBAN applications. The antenna is designed at 2.45 GHz and 5.8 GHz frequency. The metamaterial used is an EBG structure that reduces the SAR of the antenna on the body and makes it safe to use for wearable applications. The substrate used is polyimide that is a bendable substance. This provides the antenna to be bendable over different part of the body and makes it the best fit for wearable applications. The antenna could be used for medical applications. The gain of the antenna increases after adding the metamaterial from 2 dpi to 12 dpi.

In this work, we present the fabrication of interdigitated capacitive and resistive temperature sensors for interior environment monitoring that are eco-friendly, low-cost, and based on pencil on paper. The fabrication of the graphite pencil is done on paper, without the use of solvents or clean rooms, and with inexpensive, biodegradable materials. The temperature sensor displays a -0.35 pf/°C negative temperature coefficient of capacitance. This strategy advances the creation of green electronics sensors and ensures that neither their manufacture nor disposal pollute the environment.