Stress Diagnostic System and Digital Medical Record Based on Internet of Things

Stress is a common response by human body when facing with certain conditions such as depression. Stress can occur in all range of ages but in general stress is mostly experienced in adulthood. If a person experiences stress, then the body will react to respond to the cause of stress. One of the body responses is an increased of heart rate, and the palm will release a cold sweat. In this paper, a system to diagnose the degree of saturation and strain in humans using fuzzy logic method is designed and studied by employing several sensors such as temperature sensors to measure body temperature, Galvanic Skin Response (GSR) used to detect the conductivity of the skin of two fingers and heartbeat sensors to find out how many heartbeats occur in a minute or Beat Per Minute (BPM). The sensed values of three sensors will be sent over a wireless network to the database, and the data processing with the fuzzy method is performed on the webserver. Testing on 15 subjects taken 5 times for each subject, the system sensor data retrieval successfully sends and stores data in database. On the 15 subjects, there were 12 subjects with the diagnosis of stress level in stable condition so that it can be concluded the system can work with percentage (12/15) × 100% = 80%. Then the results of processing the three sensors displayed on the website and the patient can also see the results through android application.