Smart Inhaler System Based on GSM Communication System

Authors

  • P. Ganesh Babu  Assistant Professor, Department of Biomedical Engineering, Adhiyamaan College of Engineering (Autonomous), Dr. M. G. R. Nagar, Hosur, Tamil Nadu, India
  • M. Ragadharshni  Student, Department of Biomedical Engineering, Adhiyamaan College of Engineering (Autonomous), Dr. M. G. R. Nagar, Hosur, Tamil Nadu, India
  • K. Sreelakshmi  Student, Department of Biomedical Engineering, Adhiyamaan College of Engineering (Autonomous), Dr. M. G. R. Nagar, Hosur, Tamil Nadu, India
  • G. Sri Vidhya  Student, Department of Biomedical Engineering, Adhiyamaan College of Engineering (Autonomous), Dr. M. G. R. Nagar, Hosur, Tamil Nadu, India

Keywords:

Buffer count, signal transmission, GSM communication.

Abstract

The acquisition of accurate and effective feedback from patients on routine adherence becomes difficult when treating asthma and chronic obstructive pulmonary disorders (COPD). The current methods followed like the face-to-face and oral reporting methods are not satisfactory. A handy electronic device that is attached to the inhaler uses a flow measure and contact sensors to detect users

References

  1. Manuel Lozano, Jos´e Antonio Fiz, and RaimonJan´e, “Automatic Differentiation of Normal and Continuous Adventitious Respiratory Sounds Using Ensemble Empirical Mode Decomposition and Instantaneous Frequency”,IEEE Journal of Biomedical and Health Infomatics,Vol 20, No.2,March,2016.
  2. ChinazunwaUwaoma and GunjanMansingh, “Towards Real-time Monitoring and Detection of Asthma Symptoms on Resource-constraint Mobile Device”, IEEE Consumer Communications and Networking Conference (CCNC),2015.
  3. Menghan Liu and Ming- Chan Huang,“Asthma Pattern Identification via Continuous Diaphragm Motion Monitoring”, IEEE Transactions on Multi-Scale Computing Systems, Vol 1, No.2, April-June 2015.
  4. Ke Yan, David Zhang, Darong Wu, Hua Wei and Guangming Lu, “Design of a Breath Analysis System for Diabetes Screening and Blood Glucose Level Prediction”, IEEE Transactions on Biomedical Engineering, Vol 61, No11, November 2014.
  5. Wolfram Miekisch, Andreas Hengstenberg, Sabine Kischkel, Udo Beckmann, MarenMieth, and Jochen Klaus Schubert, “Construction and Evaluation of a Versatile CO2 Controlled Breath Collection Device”, IEEE Sensors Journal, Vol 10, No1, January 2010.

International Journal of Scientific Research in Science and Technology

Downloads

Published

2020-03-05

Issue

Volume 5, Issue 5, March-April-2020

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
P. Ganesh Babu, M. Ragadharshni, K. Sreelakshmi, G. Sri Vidhya, " Smart Inhaler System Based on GSM Communication System, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 5, pp.135-138, March-April-2020.