An Advanced Healthcare System Where Internet of Things meets Brain-Computer Interface using Event-Related Potential

To make the world more advanced we are trying to improve several things and one of them is the Internet of Things. The real-world object can be turned into an intelligent one by using this technology and nowadays it's collaborating with many other technologies to bring a smarter solution to any real-world problems. Brain-Computer Interface is another big buzzword in the research industry that drew attention by converting brain signals into a command through which the human mind can decode or encode any command. No need to say that both of the aforementioned technology has the power to change the world within seconds. It has been noticed that the interface between the two technology is complicated but possible. Any IoT device can receive any kind of neuro signal and decode them to receive any information and if this happens we may imply this technology for the advancement of healthcare. This study focuses on the improvement of the healthcare system through the collaboration of the Brain-Computer Interface and the Internet of Things in order to create a smart system such as locking the door, turning on the light, or an alarm system for an emergency call. In this regard, the visual P300 potential looks to be well-suited for controlling smart homes via BCI spellers. In a real smart home scenario, 10 participants with 5 neuro-degenerative illnesses and 5 normal people were employed. The user experience while doing BCI tasks was assessed by monitoring contemporaneous physiological signals. For offline and real-time processing modes, the average accuracy was 82.93% and 82.68% respectively. Our findings indicate that the IoT speed is sufficient for a BCI real-time system in the instance under consideration.