Emergency Pulse Rate Monitoring and Detecting the Location of Handicapped People

Aishwarya Bhise, SIT,LONAVALA,PUNE.; Rutuja Ghadge ,SIT,LONAVALA,PUNE.; Shraddha Fagare ,SIT,LONAVALA,PUNE; Smita Andhale ,SIT,LONAVALA, PUNE; Dr. S. D. Babar ,SIT,LONAVALA, PUNE

(K Nearest Neighbors) KNN, (Global Positioning System) GPS, Photoplethysmography (PPG)

The wearables have long been used in the healthcare sector, for example in hearing aids, in detecting health disorders such as sleep apnea and in detecting the blood pressure etc. As smartphones have become one of the necessary gadgets of our daily life we can use its potential to develop an application with the help of these devices to make the system easily wearable and mobile. This project describes the Android Application Which will continuously monitor the pulse rate of the user & collect the data. This data will be sent to the nearest people in the form of the text message as well as alarm generation just by pressing the smartphone screen for few seconds. This message will contain the pulse rate details and also changes in the location of handicapped people so that further emergency actions will be taken. The K-Nearest Neighbors algorithm will be used to find out the nearest people of the user. This system will be developed considering the handicapped people.
    [1] Raluca Marinescu, Anișor Nedelcu, “Smartphone Application for Heart Rate Monitoring”, the 6th IEEE International Conference on E-Health and Bioengineering - EHB 2017 [2] Jatin Arora1, Gagandeep2, Amandeep Singh1, Narinder Pal Singh1, Sarvesh S S Rawat3, Gurvinder Singh2, "Heartbeat Rate Monitoring System by Pulse Technique Using HB Sensor ", ICICES 2014 [3] Xin Chen, Jian Weng, Wei Lu, Jiaming Xu, “Multi-gait Recognition based on Attribute Discovery ”, IEEE Transactions on Pattern Analysis and Machine Intelligence 2017 [4] Salomi S. Thomas, Mr. Amar Saraswat, Anurag Shashwat, Dr.Vishal Bharti, "Sensing Heartbeat and Body Temperature Digitally using Arduino", International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)-2016 [5] Aileni Raluca Maria1, Sever Pasca1, Rodica Strungaru1, “Heart Rate Monitoring by using Non-invasive Wearable Sensor”, The 6th IEEE International Conference on E-Health and Bioengineering - EHB 2017 [6] Ramyar Saeedi∗, Navid Amini† and Hassan Ghasemzadeh∗, “Patient-Centric On-Body Sensor Localization in Smart Health Systems”, IEEE 2014 [7] Simi Susan Thomas, Viswam Nathan, Chengzhi Zong, Karthikeyan Soundarapandian, Xiangrong Shi, Roozbeh Jafari, IEEE Senior Member, “Bio Watch: A Non-invasive Wrist-based Blood Pressure Monitor that Incorporates Training Techniques for Posture and Subject Variability ”, JBHI-00094-2015 [8] Fariha Naaz, Nirmal Singh Grewal, "A SoC based wearable system for Continuous Blood Pressure Measurement", IEEE 2016
Paper ID: GRDJEV03I010012
Published in: Volume : 3, Issue : 1
Publication Date: 2018-01-01
Page(s): 15 - 19