ABSTRACT
An intensive care system is a structure or a device that can support family members in monitoring patients the slightest bit. It is capable of providing security and comfort to the family members. Lately, smart wearable’s, characteristically as the wearable electrocardiogram (ECG), electromyography (EMG), electroencephalography (EEG), photoplethysmography (PPG), blood pressure (BP), heart sound, respiration, sleep, and motion monitoring, looking to be an immense and talented market in the expertise industry. Those clinically and scientifically valuable for healthier intensive care of real-time, long-term, and dynamic pathological and physiological expansions, thus, so long as occasions for the progress of innovative diagnostic and therapeutic procedures.
The idea of machine learning (ML) involves the exploitation of hardware gadgets that screen or catch information and are related to the open or private cloud, empowering them to naturally trigger certain occasions. In this chapter, significant emphasis has been given to an ML for an efficient real-time monitoring system. The basic purpose of the chapter is to explore the numerous possibilities of ML in the field of real-time monitoring systems.
