Читать книгу Smart Healthcare System Design - Группа авторов - Страница 30

We are utilizing Arduino for mix of sensors i.e., Temperature sensor LM35, Pulse sensor, and EEG sensor. Raspberry Pi is incredible instrument for installed designs yet it needs ADC. One more downside is all its IOs are 3.3V level. On the opposite side Arduino is great at detecting the physical world utilizing sensors. To get advantages of both the frameworks one may need to interface them. EEG sensor is associated with Arduino utilizing Bluetooth module HC-05. Here HC-05 go about as ace and EEG sensor as slave [25]. Its fills in as TTL Master/Slave UART convention correspondence. Outlined by Full fastest Bluetooth task with full piconet bolster. It enables us to accomplish the business’ largest amounts of affectability, precision, with least power utilization [28].

Here we are using cloud of smart bridge to store the data. The data which is collected from the sensors is send to the cloud of domain smart bridge and sub domain health monitoring system through API. The patient can view his health details after logging-in. In this research we are using pulse sensor to know the patient heartbeat, LM35 to know his body temperature and EEG sensors to know his brain signals. So after login he will get a display of readings in tabular form as shown in the figure. In this research, we are using mindwave headset which works on EEG technology. This sensor consists of one main sensor and one reference electrode. This research can be implemented in future by making more sophisticated by expanding the sensors used to read the brain waves. The main working of mindwave mobile headset goes in ThinkGear ASIC module chip. In this research, we are using TGAM chip in the sensor [22].

The EEG Sensor (values of Attention, Meditation), for calculation Range of 1–100 was taken

 • Range from 40 to 60 is considered “neutral”.

 • Range from 60 to 80 is slightly high, and interpreted as higher over normal.

 • Range from 80 to 100 are considered “high”, that mean it is strong indication levels Severe levels.