B. K. Swathi Prasad, D. Sunil, A. Gowda, Kotraswamy, Vijay
{"title":"非侵入性生物医学应用集成医疗应用程序的开发","authors":"B. K. Swathi Prasad, D. Sunil, A. Gowda, Kotraswamy, Vijay","doi":"10.1109/DISCOVER47552.2019.9007969","DOIUrl":null,"url":null,"abstract":"The research on non invasive device represents as exciting and highly sought after market for many companies. An integrated health care device is proposed to monitor glucose, pulse rate and bmi index of a patient. In the proposed approach, the spectral sensor is utilized to measure near infrared wavelengths, the IR sensor of 940nm wavelength is used to transmit the light from finger to photo-diode. The measurable voltage from the photo-diode is converted to glucose value (in mg/dl) using appropriate signal conditioning circuits. The complete circuit is integrated with mobile app to display the glucose level concentrations and also to indicate whether any further treatment is required. The IR sensor and photo-diode are mounted in a structure made of nylon material. The results show that the prediction of glucose level concentration using non invasive is comparable with invasive approach. Also, the pulse sensor is integrated with the mobile app to display pulse rate. The desired pulse rate of 70 to 80 bpm is obtained by placing the sensor near the wrist and ear lobe.","PeriodicalId":274260,"journal":{"name":"2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of Integrated Health Care App for Non - Invasive Bio - Medical Application\",\"authors\":\"B. K. Swathi Prasad, D. Sunil, A. Gowda, Kotraswamy, Vijay\",\"doi\":\"10.1109/DISCOVER47552.2019.9007969\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The research on non invasive device represents as exciting and highly sought after market for many companies. An integrated health care device is proposed to monitor glucose, pulse rate and bmi index of a patient. In the proposed approach, the spectral sensor is utilized to measure near infrared wavelengths, the IR sensor of 940nm wavelength is used to transmit the light from finger to photo-diode. The measurable voltage from the photo-diode is converted to glucose value (in mg/dl) using appropriate signal conditioning circuits. The complete circuit is integrated with mobile app to display the glucose level concentrations and also to indicate whether any further treatment is required. The IR sensor and photo-diode are mounted in a structure made of nylon material. The results show that the prediction of glucose level concentration using non invasive is comparable with invasive approach. Also, the pulse sensor is integrated with the mobile app to display pulse rate. The desired pulse rate of 70 to 80 bpm is obtained by placing the sensor near the wrist and ear lobe.\",\"PeriodicalId\":274260,\"journal\":{\"name\":\"2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DISCOVER47552.2019.9007969\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DISCOVER47552.2019.9007969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of Integrated Health Care App for Non - Invasive Bio - Medical Application
The research on non invasive device represents as exciting and highly sought after market for many companies. An integrated health care device is proposed to monitor glucose, pulse rate and bmi index of a patient. In the proposed approach, the spectral sensor is utilized to measure near infrared wavelengths, the IR sensor of 940nm wavelength is used to transmit the light from finger to photo-diode. The measurable voltage from the photo-diode is converted to glucose value (in mg/dl) using appropriate signal conditioning circuits. The complete circuit is integrated with mobile app to display the glucose level concentrations and also to indicate whether any further treatment is required. The IR sensor and photo-diode are mounted in a structure made of nylon material. The results show that the prediction of glucose level concentration using non invasive is comparable with invasive approach. Also, the pulse sensor is integrated with the mobile app to display pulse rate. The desired pulse rate of 70 to 80 bpm is obtained by placing the sensor near the wrist and ear lobe.