Monitoring of changes in the real time caused by the body movement is an essential tool. Monitoring system and patient movement is the process used to track changes of motion in patients with state of coma. Coma is a profound loss of consciousness disorder, which can have multiple causes. Massively important effects can happen rapidly, consistently, and sometimes with therapeutic implications. The purpose of this work is to provide a detailed analysis of patient EEG analysis, number of eye blinks, hand movement, movement of the legs, heart rate, temperature, and oxygen saturation of the coma patients. Camera setup with integration of Raspberry Pi has been fixed to clearly differentiate any motions in the patient's eye and yawn identification. Patient records are preserved in the cloud for quick access and review for the long term. It will examine the coma patient's vital sign on a continuous basis, and in any situation, when any movement happens in the patient, the device will identify and activate the message and send it to doctor and central station through IoMT. Thereby, the vital signs are those that expose dramatic changes in coma upon processing, as well as provide precise data about causative agent and treatment plan. Consistent tracking and observation of these health issues improves medical assurance and allows for tracking coma events.