International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 04 | Apr -2017
p-ISSN: 2395-0072
www.irjet.net
IoT Based Health-Care System Using Raspberry Pi Sangle Sagar D1, Deshpande Niranjan R2, Vadane Pandurang M3, Dighe M. S4 123Dept.
4
of Computer Engineering, SCSCOE, Ahmednagar, Maharashtra, India Assistant professor, Dept. of Computer Engineering, SCSCOE, Ahmednagar, Maharashtra, India
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Abstract -Nowadays in healthcare monitoring system it is necessary to constantly monitor the patient’s physiological parameters. This system presents a monitoring system that has the capability to monitor physiological parameters from patient body at every 10 seconds. A sensor node has attached on patient body to collect all the signals from the wireless sensors and sends them to the BSN care node. The attached sensors on patient’s body form a wireless body sensor network (WBSN) and they are able to sense the heart rate, Temperature of surrounding. This system is mainly to detect abnormal conditions in human body and abnormal physiological parameters. The main advantage of this system in comparison to previous systems is to reduce the energy consumption to prolong the network lifetime, speed up and extend the communication coverage to increase patient quality of life.
remotely work because of integration of all component. In this system, we are using sensor to detect biological parameters and it processes along with raspberry pi and that all hardware component is integrated with software system to display data to user and user can able control system. 2.Proposed System In A Secure IOT Based Modern Healthcare System, Internet of things is used to give flexibility and fast operational speed to get expected outcomes. In this, hardware elements are used that are Raspberry pi 3, heart beat sensor, Temperature sensor etc. and more sensors also can be used to detect various biological functionality. In this Hardware elements are integrated with software system that controls the hardware and report generation. Heart beat sensor is Easy pulse 1.1 is used and general temperature sensor is used to detect temperature. By using This System, we can detect abnormal conditions in human body at real time. Raspberry pi3 is device which is connected with sensors, sensors are connected with human bodies, and this raspberry pi3 is connected with software systems by using wireless connection. When all elements are connected together, sensor senses data from human body, then sends that data to server. after that these data is compares with standards values that are already stored in system. According to that normal and abnormal conditions checking is performs. And if there are any abnormalities are occurring the it sends message immediately to doctor to avoid critical situations. In this System Administrator is there to control system, it can control new patient’s entries and doctor’s entries, when it will get data from sensors and stores in database is displayed in separate UI page which periodically loaded and fetches data from database. Time interval is ranging from 5 to 10 second. When abnormalities occur, message is get send to doctor’s mobile within 1 minute. In this system, we should have to connect system and hardware device and server centrally.in this we required two servers, one for system deployment and another for database which stores data. In this system, all data coming from LPU is in
KEYWORDS: IOT, BSN, LPU, PDA, ECG 1.INTRODUCTION Now a day’s aged people are suffering from at least one deceases and health conscious and increasing. And in hospital difficulty occurs in taking care of that patients. Body Sensor network provides very large portability to patients to detect abnormalities in patient and used to avoid critical situations and gives proper treatment on time. Hence, IoT concept used and sensor are connected to human body with well managed wireless network. For measurement heart bit rate, Temperature etc. can be monitored by sensors. BSN care node server also maintained to store data collects data from sensor and its processing in LPU that is local processing unit and send it to database server. And Internet connection and power supply continuous required to work proper functioning and periodically monitoring physiological parameter of body to avoid the risk. Because sensor is sensing or collecting information after every 10 secs and sends it to database server. Continuous health monitoring with wearable sensor and implantable body sensor networks will increase detection of emergency conditions in at risk patients. Also, this system is useful to operate remotely because of in built Wi-Fi in raspberry pi that we are using in system, hence sensors and software system can
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