S. Amit, Viswanath Talasila, C.R Nagaveni, C. K. Subbaraya, D. S. Mahesh, P. Premnath
{"title":"Design and Development of Wearable Antenna integrated with RF Transceiver for Health Monitoring System","authors":"S. Amit, Viswanath Talasila, C.R Nagaveni, C. K. Subbaraya, D. S. Mahesh, P. Premnath","doi":"10.1109/RTEICT49044.2020.9315674","DOIUrl":null,"url":null,"abstract":"A wearable device is a technology that is worn on the human body. With the miniaturized and low power sensor technologies, it can be used in wearables for receiving and transmitting information about health care and their surroundings. This paper aims at designing a complete RF transceiver system at 2.4GHz for communication health parameters with the designed rectangular patch antenna. The signals are sensed by the wearable device which is mounted on the patient to be monitored; these signals are the input data of health parameters like temperature/heart rate. The sensors along with the transmitter section are clipped onto the patient and the health parameters are collected. The observed data is processed using Arduino UNO microcontroller and transmitted with the help of the RF module through the transmitting antenna. On the receiving section the data is collected through the receiving antenna connected to RF module and processed for further analysis of health parameters. A wearable antenna is designed for transmitting and receiving signals at 2.4GHz. A rectangular patch antenna is designed with slots to enhance directivity and good impedance matching with the other RF circuits. The antenna is simulated using Ansys HFSS v19, fabricated and tested which gives a VSWR of 1.5 and Return loss of -14dB.The gain of the antenna is 5.2dB. Further the collected data is visualized and can be analyzed by the supervisor by logging onto the webpage and accessing the health parameters.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTEICT49044.2020.9315674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A wearable device is a technology that is worn on the human body. With the miniaturized and low power sensor technologies, it can be used in wearables for receiving and transmitting information about health care and their surroundings. This paper aims at designing a complete RF transceiver system at 2.4GHz for communication health parameters with the designed rectangular patch antenna. The signals are sensed by the wearable device which is mounted on the patient to be monitored; these signals are the input data of health parameters like temperature/heart rate. The sensors along with the transmitter section are clipped onto the patient and the health parameters are collected. The observed data is processed using Arduino UNO microcontroller and transmitted with the help of the RF module through the transmitting antenna. On the receiving section the data is collected through the receiving antenna connected to RF module and processed for further analysis of health parameters. A wearable antenna is designed for transmitting and receiving signals at 2.4GHz. A rectangular patch antenna is designed with slots to enhance directivity and good impedance matching with the other RF circuits. The antenna is simulated using Ansys HFSS v19, fabricated and tested which gives a VSWR of 1.5 and Return loss of -14dB.The gain of the antenna is 5.2dB. Further the collected data is visualized and can be analyzed by the supervisor by logging onto the webpage and accessing the health parameters.