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Smart Stretcher With Smart Ambulance
Project Description :

Our proposed system consist of innovation concept in smart stretcher in smart ambulance, in which different sensors like ecg, temperature, pulse-oximeter and blood pressure sensor are deployed to continuously monitor the vital parameter of the patient which will be send to the doctor’s android application as well as it can viewed on the screen which will fetch from cloud while the patient is in the ambulance. ecg sensor will sense the electrical activity of the heart, temperature sensor will sense the body temperature, while the pulse-oximeter will sense the oxygen saturation level, sugar level will be sensed by sugar level detector and blood pressure will be sensed using blood pressure sensor. another model included in the smart ambulance is smart e-stethoscope which will send the acoustics wirelessly to the doctor for live monitoring of the heartbeats of the patient. using rfid technology, rfid tag is deployed in the front side of the smart ambulance and rfid reader (scanner) which is located at 100m before the traffic signal which will detect the presence of the ambulance and send alert to the traffic signal, so that the signal will switch to green for the ambulance and the ambulance can move fast to the hospital with minimum delay. we have designed an app which will be provided to the doctor that will show the live body parameters of the patient on the app as well as on the screen. so that the primary parameters of the patient will be known to the doctor and doctor can easily predict the illness or physical condition of the patient. so that the doctor team will be ready for the actual treatment of the patient. along with the doctor application, user (relatives) will be also provided with the app to see the current patient status. as well as the driver will also provide an app which will show the shortest path to the hospital on dashboard. so that the time delay in reaching to the hospital is minimized and also he can see the current condition of the patient on the dashboard, so he can drive or choose the path according to the current condition of the patient.

 
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Project Details :
  • Date : Oct 30,2018
  • Innovator : Ayush Agrawal
  • Team Members : NIVEDITA SHELKE,AMEY PANDIT,PURVA LUNGE,DHANASHREE MAHAJAN,RIMA SHAHAPURKAR
  • Guide Name : DR. DATTATRAY WAGHOLE
  • University : Savitribai Phule Pune University
  • Submission Year : 2019
  • Category : Computer science, Information technology & related fields
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