PATIENT ALERT SYSTEMS: SENTIMENTAL ANALYSIS USING GSM TECHNOLOGIES

March 2018
Vol-4, Issue-2
Paper ID: 7713
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Health Care and Analysis
Keywords
GSM ARM microcontroller ORCAD KEIL Compiler LM35 DT F. MCP3202 12-BIT A/D Converter Pulse Sensor
Abstract
This undertaking incorporates the branch of Biomedical Engineering. This undertaking goes for checking the patient's wellbeing conditions constantly. The parameters like the beat rate, temperature are to be checked consistently. As it were, the specialist will analyse the patient constantly. This venture utilizes the remote idea, GSM. It is required to screen the patient's temperature, pulse and if the temperature increments over certain level infusion must be given. Our framework does likewise a sensor is utilized to screen the patient's temperature. A microcontroller is utilized to get the patients temperature and show it on LCD. This venture gives an answer for upgrading the dependability and adaptability by enhancing the execution and power administration of the patient observing framework. In the current proposed framework the patient wellbeing is persistently checked and the gained information is dissected at a brought together ARM microcontroller. On the off chance that a specific patient's wellbeing parameter falls beneath the edge esteem, a computerized SMS is sent to the pre-arranged Doctor's portable number utilizing a standard GSM module interfaced to the ARM microcontroller. Here, we are utilizing GSM for remote transmission. The Doctor can get a record of a specific patient's data by simply getting to the database of the patient on his PC which is consistently refreshed through GSM recipient module.

Author Information

# Name Institute / Affiliation
1 Shuvam Agarwal SRM IST
2 Soundarya Dash SRM IST
3 Aditya Dey SRM IST
4 Shubham Rai SRM IST
5 M.S. Bennet Praba SRM IST

How to Cite

Use the following formats to cite this article in your research.

APA Style
Agarwal, Shuvam, Dash, Soundarya, Dey, Aditya, Rai, Shubham, & Praba, M.S. Bennet (2018). PATIENT ALERT SYSTEMS: SENTIMENTAL ANALYSIS USING GSM TECHNOLOGIES. International Journal of Advance Research and Innovative Ideas In Education, 4(2), 1282-1288.
MLA Style
Agarwal, Shuvam, et al. "PATIENT ALERT SYSTEMS: SENTIMENTAL ANALYSIS USING GSM TECHNOLOGIES." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, 2018, pp. 1282-1288.
IEEE Style
Shuvam Agarwal, Soundarya Dash, Aditya Dey, Shubham Rai, and M.S. Bennet Praba, "PATIENT ALERT SYSTEMS: SENTIMENTAL ANALYSIS USING GSM TECHNOLOGIES," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, pp. 1282-1288, 2018.
Vancouver Style
Agarwal Shuvam, Dash Soundarya, Dey Aditya, Rai Shubham, Praba M.S. Bennet. PATIENT ALERT SYSTEMS: SENTIMENTAL ANALYSIS USING GSM TECHNOLOGIES. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(2):1282-1288.
Harvard Style
Agarwal, Shuvam, Dash, Soundarya, Dey, Aditya, Rai, Shubham, & Praba, M.S. Bennet (2018) 'PATIENT ALERT SYSTEMS: SENTIMENTAL ANALYSIS USING GSM TECHNOLOGIES', International Journal of Advance Research and Innovative Ideas In Education, 4(2), pp. 1282-1288.
Chicago Style
Agarwal, Shuvam, et al. "PATIENT ALERT SYSTEMS: SENTIMENTAL ANALYSIS USING GSM TECHNOLOGIES." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 1282-1288.
Turabian Style
Agarwal, Shuvam, et al. "PATIENT ALERT SYSTEMS: SENTIMENTAL ANALYSIS USING GSM TECHNOLOGIES." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 1282-1288.

Export Citation

Related Research

CYBERSECURITY WITH AI
SAHANA MURTHY 2026 Computer Science
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
Pankaj Nandan et al. 2026 Computer Science
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
Sharan Subhas Savalagi et al. 2026 Computer Science and Engineering
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
Sheshank et al. 2026 Computer Science and Engineering
PDF Unavailable