A Low-Cost ATmega32-Based Embedded System for Automated Patient Queue and Health Data Management in Private Medical Chambers
Abstract
This paper presents a low-cost, stand-alone embedded system that automates patient queue handling and basic health data acquisition for small private medical chambers. The proposed design separates interaction into two physically distinct modules: a patient's self-service corner for entering basic details and measuring vital signs, and a doctor's corner for reviewing the current patient's information and advancing the queue. A single ATmega32 microcontroller coordinates both modules, interfacing with an LM35 temperature sensor, an XD-58C pulse sensor, matrix keypads for data entry, and dual 162 LCDs for guided interaction and clinician-side display. Unlike IoT-first approaches that require continuous connectivity and higher deployment overhead, the system operates offline and provides deterministic local operation suitable for resource-constrained settings. Experimental validation shows temperature readings within C (LM35 range tested), resting pulse readings within ~BPM, and button-to-display latency below 1.2~s, demonstrating reliable real-time performance under limited hardware resources.
Keywords
Cite
@article{arxiv.2511.06914,
title = {A Low-Cost ATmega32-Based Embedded System for Automated Patient Queue and Health Data Management in Private Medical Chambers},
author = {Kawshik Kumar Paul and Mahdi Hasnat Siyam and Khandokar Md. Rahat Hossain},
journal= {arXiv preprint arXiv:2511.06914},
year = {2025}
}
Comments
v2: revised writing and presentation