Research On Exhalation Signal Detection System Of Smokers

The breath exhaled by the human body contains unique metabolic information,which has a corresponding relationship with certain diseases.With the development of mobile medicine,non-destructive detection of human disease has become a hotspot research issue in medical diagnosis.The research on the corresponding relationship between human exhaled gas and disease is of great significance,and it has broad application prospects in the fields of medical diagnosis and human health monitor.The technology of detecting diseases through human exhaled gas has been widely used in medical testing,but the current respiratory testing instruments on the market generally have disadvantages such as complicated operation and high testing cost.This paper designed a cloud-based exhalation signal detection system,including exhalation signal hardware acquisition system and software analysis algorithm.The hardware system can collect the information of different components in the exhaled air of the smoker,and the software analysis algorithm can determine the time that the detected person has not smoked before the detection according to the changes in the concentration of different components in the exhaled air of the human body.At present,the system can be applied to the monitoring of people who quit smoking at home.The main work of this paper is as follows:(1)Designed and built a hardware acquisition system for exhaled breath signal.According to the functions and working environment of the system hardware components,following the system design plan,technical indicators,etc.,the data acquisition circuit schematic diagram was drawn in Altium Designer 19,and the PCB board wiring and drawing were completed according to the schematic diagram.The data is transmitted to the mobile phone via Bluetooth.Completed the design and physical construction of the hardware system.The output mode and transmission rate of the exhalation signal were designed in the Arduino programming software.A mobile phone application was designed in Android Studio to transfer the sensor array data saved on the mobile phone to the configured Alibaba Cloud server for storage.(2)Designed the exhalation signal analysis algorithm.The hardware system designed in this paper collects data mainly through sensor arrays.The exhaled breath signal collected by the system is one-dimensional time series data.The data is processed through Gramian Angular Summation Field(GASF)map technology to convert the one-dimensional time series data into a two-dimensional map.Using ResNet18 neural network to perform atlas recognition to complete the detection of target gas.(3)Conducted a large number of data collection experiments.Collect the exhalation signals of smokers during different periods of time without smoking(5 stages after smoking,1hour after smoking,2 hours after smoking,4 hours after smoking,and no smoking in the morning),the system a total of 800 valid data were collected.The collected data was processed,and the designed recognition algorithm was used to complete the recognition of the last non-smoking duration of the smoker.The exhaled gas detection system designed in this paper realized the initial gas information collection,data transmission,data processing,and finally the identification of the target gas.The data collection and identification experiments showed that the various functional modules of the system meet the design requirements.The system is small in size,low in detection cost,and can collect data in real time.It can be used as an auxiliary tool for medical detection in daily home.