• Barola Technologies

RURAL HEALTHCARE USING Rpi THROUGH IoT

HEALTH MONITORING USING REMOTE DIAGNOSIS


ABOUT WORKSHOP

The main purpose of this study is to facilitate the remote cardiac patients in getting latest healthcare services. The integration of mobile communications with pulse and respiration sensors has facilitated the shift of healthcare services from clinic-centric to patient-centric and is termed as “Telemedicine” . The rapid growth in technology has remarkably enhanced the scope of remote health monitoring systems


OBJECTIVE

The aim of this system is to build up a system fit for observing vital body signs, for example, heart rate, pulse. The System is additionally equipped for exchange the readings from the sensor to cloud remotely and the information gathered will be accessible for analysis progressively.. To accomplish this, the system involves many sensors to screen fundamental signs that can be interfaced to the doctor’s mobile or the web.


TECHNOLOGY & TOOLS USED

· Raspberry Pi 3 B+

· 16gb memory card

· Ads1115

· Pulse Sensor

· Respiration Sensor

· Wire Cutter and Stripper

· Connecting Wires

· Soldering Iron

Soldering Lead & Flux


Image for Rep only.

WORKSHOP CONTENT

Internet of Things

· Raspberry Pi - Architecture, Programming & Trouble-shooting

· ADS1115 - Concepts, Architecture & Applications

Electronics

· Pulse Sensor - Concepts & Working

· Respiration Sensor interfacing

Programming

· Python Programming

· Setting up Mail


BENIFITS

Real-time health monitoring system is developed considering the cost, ease of application, accuracy, and data security. During the recent decade, rapid advancements in healthcare services and low cost wireless communication have greatly assisted in coping with the problem of fewer medical facilities.


Workshop Date will be updated soon!

Want to conduct this workshop at your institution? Call our workshop support team on 04443558646 for more details.

Technology Specific R&D , Training & Internship

Artificial Intelligence | Drone | Deep Learning | Internet of Things (IoT) | Machine Learning | Wearable Technology

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