{"title":"一种用于家庭护理系统的廉价脉搏血氧计设计","authors":"Adam Skrvan, R. Hudec, S. Matuska","doi":"10.1109/ELEKTRO53996.2022.9803610","DOIUrl":null,"url":null,"abstract":"In the current pandemic time, one of the important parameters for assessing the health status of a patient with COVID 19 is level of blood oxygenation. The aim of our work is devoted to the development and construction of a pulse Oximeter based on MAX ICs. The initial pulse oxymetry studies were concerned with issues such as device size and power efficiency. Reduced power consumption and size are the major causes of our progress. We picked low-power electronic components to reduce power consumption. We used a diode field with two green, one red, one infrared, and two photodiodes as a light source and detector. A high-speed four-channel AD converter converts the signal from analog to digital. The signal is smoothed using an average filter in the algorithm. We found peaks that can be utilized to determine heart rate after smoothing the signal. The blood Oximeter level is calculated by processing the amplitude of red and infrared signals collected by a photodetector. Test algorithms were performed on the Arduino platform. The output of the device are values of blood oxygenation and heart rate.","PeriodicalId":396752,"journal":{"name":"2022 ELEKTRO (ELEKTRO)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Design of a cheap pulse Oximeter for home care systems\",\"authors\":\"Adam Skrvan, R. Hudec, S. Matuska\",\"doi\":\"10.1109/ELEKTRO53996.2022.9803610\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the current pandemic time, one of the important parameters for assessing the health status of a patient with COVID 19 is level of blood oxygenation. The aim of our work is devoted to the development and construction of a pulse Oximeter based on MAX ICs. The initial pulse oxymetry studies were concerned with issues such as device size and power efficiency. Reduced power consumption and size are the major causes of our progress. We picked low-power electronic components to reduce power consumption. We used a diode field with two green, one red, one infrared, and two photodiodes as a light source and detector. A high-speed four-channel AD converter converts the signal from analog to digital. The signal is smoothed using an average filter in the algorithm. We found peaks that can be utilized to determine heart rate after smoothing the signal. The blood Oximeter level is calculated by processing the amplitude of red and infrared signals collected by a photodetector. Test algorithms were performed on the Arduino platform. The output of the device are values of blood oxygenation and heart rate.\",\"PeriodicalId\":396752,\"journal\":{\"name\":\"2022 ELEKTRO (ELEKTRO)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 ELEKTRO (ELEKTRO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELEKTRO53996.2022.9803610\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 ELEKTRO (ELEKTRO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELEKTRO53996.2022.9803610","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of a cheap pulse Oximeter for home care systems
In the current pandemic time, one of the important parameters for assessing the health status of a patient with COVID 19 is level of blood oxygenation. The aim of our work is devoted to the development and construction of a pulse Oximeter based on MAX ICs. The initial pulse oxymetry studies were concerned with issues such as device size and power efficiency. Reduced power consumption and size are the major causes of our progress. We picked low-power electronic components to reduce power consumption. We used a diode field with two green, one red, one infrared, and two photodiodes as a light source and detector. A high-speed four-channel AD converter converts the signal from analog to digital. The signal is smoothed using an average filter in the algorithm. We found peaks that can be utilized to determine heart rate after smoothing the signal. The blood Oximeter level is calculated by processing the amplitude of red and infrared signals collected by a photodetector. Test algorithms were performed on the Arduino platform. The output of the device are values of blood oxygenation and heart rate.