Telehealth Patient Monitoring System
Pamarthi Kanakaraja1, K.Krishna vamsi2, I.Pratyush3, M.Rama Krishna4, B.Sai mohan5
1P. Kanakaraja, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, .A.P, India
2K. Krishna vamsi, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram A.P, India.
3I. Pratyush, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India
4B. Sai mohan, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India.
5M.Rama Krishna, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 7740-7742 | Volume-8 Issue-4, November 2019. | Retrieval Number: D4391118419/2019©BEIESP | DOI: 10.35940/ijrte.D4391.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Health-care Environment has now established science and knowledge based on technology-oriented wireless-sensing node. Patients face an unexpected mortality is worried due to the specific cause of health problems and mainly heart problems or attack that is due to the deficiency of good medical treatment for patients at the in time. This is to track the patients of the old age in general and to train physicians and loved ones. They are therefore proposing a motivated plan to reduce these unexpected death rates through the use of Patient Health Care Monitoring, using sensor network technologies and using the web Application to connect with loved ones when problems occurs. This system uses Heart Rate, Body Temperature and ECG sensor Modules to monitor the wellbeing of patients. The project Implementation using Raspberry Pi, Arduino Mega and MCP3008 ADC converter is used. In addition, the Camera Interface and Wi-Fi link are interfaced to track the patient’s health using Raspberry Pi controller to send the data to the UbiDots web server (Cloud Computing Analysis) platform. Hence are there any one Patient Health parameter changes its threshold values it gives alerts to the Doctors with time stamp and patient live video also they can streaming their mobiles.
Keywords: UbiDots Cloud Server platform, Healthcare Services, Applications, Raspberry Pi, Arduino Mega, AD8232 ECG Module, LM35 Body Temperature Sensor.
Scope of the Article: Health Monitoring and Life Prediction of Structures.