Research And Implementation Of Human Health Detection System Software Based On Quantum Resonance Technology

In recent years,Quantum Resonance Spectrometer(QRS)has been widely used-due to its great advantages such as convenience,speediness,accuracy,painless and wide use,etc.QRS is a kind of medical instrument used to evaluate the health condition of human body,which can detect wide range of diseases.At present,the introduction of Quantum Resonance Technology in China is too late,making the technology not very mature,thus the research of quantum resonance detection technology has become a desired requirement.At first,this paper designs and implements the biological wave data processing software,which is based on quantum resonance technology and used the existing approaches.Then integrating the lower computer and the communication protocol implements the ASL biological wave electronic detection system.Such system can not only detect a single detect item,such as heart,kidney and other organs,but also can evaluate the human health comprehensively through a variety of projects,such as mental state assessment.Besides,there are three auxiliary treatment functions: desensitization,quantification,energy efficiency test.In addition,such system has many important functions,such as data receiving,processing,displaying and so on,which can be done in a short time.At the same time,the detection interface displays various data in real-time,so that the examiner can communicate with the patient face to face according to the displayed results.By doing so,such way provides more accurate advices,which is of great significance to medical detection.Then,based on the implemented ASL biological wave electronic detection system,this paper presents an improved quantization processing method that is based on non-resonance signal by comparing the original two methods of quantum resonance data processing.Then,combining with the knowledge of medical diseases and analyzing the detection reports of ASL biological wave electronic detection system,this paper derives the obvious differences between the data of the normal population and the cancer risk group.According to such difference,a model of automatic detection is proposed by using comprehensive evaluation method of fuzzy mathematics and machine learning model.This model is applied to the system and combines the expert advices.This research provides a new way for tumor screening in early phase,which is of great significance to the prevention of tumor.This paper redesigns and improves the biological wave data processing software in detail.Then,the feasibility and accuracy of the of the implemented system are improved by software test and clinical experiment.The research in this paper will be helpful to understand quantum medicine and provide theoretical and practical basis for the further study of quantum resonance detection technology.