Information Technology in Human Physiological Signal Monitor System Based on Atmega328

Qing Hua Yao; Miao Cao

doi:10.4028/www.scientific.net/AMR.951.278

Paper Titles

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Applied-Information Technology with Method of Digital Image Noise Processing
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The Numerical Simulation of behind Armor Debris by Shaped Charge Jet Penetration
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Research of USB OTG Technology in Image High-Speed Data Transfer
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Illumination Uniformity Measurement Technology Research Based on Quasi-Sine Particle Swarm Optimization
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An Integrated Architecture for Satellite Control Center System
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Optimization Design of Structure and Parameters for RBF Neural Network Using Hybrid Hierarchy Genetic Algorithm
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Information Technology in Human Physiological Signal Monitor System Based on Atmega328
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Numerical Simulation of Dynamics in the Zero-Range Process Based on Applied Technology
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 951Information Technology in Human Physiological...

Information Technology in Human Physiological Signal Monitor System Based on Atmega328

Abstract:

This paper introduces a human physiological signal monitor system based on Atmega328. Heart sounds and electrocardiogram of the human body can not only be acquired and processed timely but also stored and displayed. It is composed of superior microprocessor—Atmega328,large capacity flash and the new type LCD, which adopt low power design and surface mounting package. The advantage of the system is compact and high intelligence. A model for automatic arithmetic is established for the feature extraction of human physiological signal. This system can record human physiological information in succession for 56 hours and store the no compression data synchronously. Many diseases can be diagnosed according to the system automatically. The measurement results achieved from this system are dependable, so the diagnosing results are accurate and the waveforms are no distortion. This system used necessary doesn’t affect the daily living and working, so it is suited for clinical and family monitoring.