P.PATTABHIRAMA MOHAN

P.PATTABHIRAMA MOHAN

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 February 2026 in Biomedical Signal Processing and Control
Verified
Journal Article
Closed access
ARAkella S Narasimha Raju
Akella S Narasimha Raju
RGRanjith Kumar Gatla
Ranjith Kumar Gatla
PMP.PATTABHIRAMA MOHAN
P.PATTABHIRAMA MOHAN
JRJ Ganesh Prasad Reddy
J Ganesh Prasad Reddy
APAddagatla Prashanth
Addagatla Prashanth


1 June 2025 in Indonesian Journal of Electrical Engineering and Computer Science
Verified
Journal Article
Open access
PDF file
BSBhimunipadu Jestadi Job Karuna Sagar
Bhimunipadu Jestadi Job Karuna Sagar
GLGarapati Swarna Latha
Garapati Swarna Latha
SBSreenivasulu Bolla
Sreenivasulu Bolla
JNJyotsna Amit Nanajkar
Jyotsna Amit Nanajkar
PMP.PATTABHIRAMA MOHAN
P.PATTABHIRAMA MOHAN
JNJonnadula Narasimharao
Jonnadula Narasimharao
The internet of things (IoT) is playing a major role in the development of the health industry by enabling more accessible and affordable virtual and distant patient contacts through applications that are easy to use. The IoT and automated homes are becoming more popular in recent days. A network of connected devices, including hardware, equipment, and technical support, is known as the IoT. Their purpose is to allow data exchange with other systems through the internet. This paper presents, internet of things based autonomous robot system architecture (IoT-ARSA) for home automation and healthcare services. The primary goal of this secure home automation system is to help the elderly and disabled people by allowing them to operate home appliances. Additionally, the system uses a cloud server to predict the health conditions of patients and the elderly people, providing information to a guardian. The patient's health condition is determined using sensors like temperature, pulse, blood pressure, and oxygen level. Ultrasonic sensor and face detection are used for home automation. Each sensor will interact with the Raspberry Pi 4 to record data, which will then be processed and stored in the cloud. From results it is clear that described (IoT-ARSA) for home automation and healthcare services model is very efficient with high accuracy and high security. Health monitoring is achieved with this model continuously with great efficiency.