Secure IoT-Based Parameter Monitoring and Device Control via Open Authentication in Fetal Monitoring

Now days, wireless communication has become a vital part of our lives in order to make progress towards new era of technology. Various novel concepts are presented in accordance with the requirements for creating smart systems. Till today, internet is providing connection between machines to machine. The Internet of Things (IoT) is providing facility to interact machine with the human without human intervention. The concept can be used in many applications such as automation in industry, security purpose etc. IoT refers to various types of things(devices) to be connected with Internet. This research paper describes the design of an internet-of-things system that can control devices and monitor parameters while also providing additional security via open authentication in fetal monitoring. The Segregate fetal electrocardiogram from compound ECG method, it requires only two signals to take from mother skin, one is from the thoracic region which is considered as the original maternal ECG and other is from the abdominal region. The signal which obtained from abdominal region will contain both fetal ECG component and maternal ECG component. This maternal ECG component present in abdominal signal is the non-linear transformed version of thoracic ECG signal. the Adaptive Neuro – Fuzzy Inference System (AN-FIS) tool is used to identify this nonlinear transformation. Particle Swarm Optimization (PSO) training method is used to perform non-linear alignment. To enable real-time applications, the suggested design incorporates a device that can be controlled remotely in fetal monitoring. The Internet of Things is giving us smart, safe systems that make life easier for maternity people.