Suliman Mohamed Fati, Amgad Muneer, Dheeraj Mungur, Ahmad Badawi
{"title":"使用GSM和物联网的综合健康监测系统","authors":"Suliman Mohamed Fati, Amgad Muneer, Dheeraj Mungur, Ahmad Badawi","doi":"10.1109/ICSCEE.2018.8538366","DOIUrl":null,"url":null,"abstract":"This paper proposes a health monitoring system for the patient in a coma based on GSM and Internet of Things (IoT). In this proposed system, the four health parameters implemented are LM35 temperature sensor, heartbeat sensor, accelerometer sensor and eye blink sensor. Using these four parameters simultaneously, it has been monitored the coma patient’s condition. Hence ruling out the use of the thermometer and other devices to check the condition of the patient. Consequently, there is no need for a lot of clinical staff nor accompanying persons to be physically present to check the condition of the patient because there is GSM module to send SMS message to the mobile phone of the person in charge (nurses/doctor) in case there is any abnormalities in health parameters. Moreover, this system uses Wi-Fi for IoT wherein “Thingspeak” is used to monitor the coma patient online via mobile phone. Alternatively, the patient’s relative can log in easily to the system to check the patient statues. The IoT shows the results online of body temperature, heartbeat, body movement and eye blink along with the time and the date for each parameter. Additionally, the results achieved for the body temperature and the heartbeat are 360° and 87 BPM respectively. Finally, the results obtained by the MPU-6050 gyroscope and the eye blink sensor were very satisfactory.","PeriodicalId":265737,"journal":{"name":"2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE)","volume":"47 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Integrated Health Monitoring System using GSM and IoT\",\"authors\":\"Suliman Mohamed Fati, Amgad Muneer, Dheeraj Mungur, Ahmad Badawi\",\"doi\":\"10.1109/ICSCEE.2018.8538366\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a health monitoring system for the patient in a coma based on GSM and Internet of Things (IoT). In this proposed system, the four health parameters implemented are LM35 temperature sensor, heartbeat sensor, accelerometer sensor and eye blink sensor. Using these four parameters simultaneously, it has been monitored the coma patient’s condition. Hence ruling out the use of the thermometer and other devices to check the condition of the patient. Consequently, there is no need for a lot of clinical staff nor accompanying persons to be physically present to check the condition of the patient because there is GSM module to send SMS message to the mobile phone of the person in charge (nurses/doctor) in case there is any abnormalities in health parameters. Moreover, this system uses Wi-Fi for IoT wherein “Thingspeak” is used to monitor the coma patient online via mobile phone. Alternatively, the patient’s relative can log in easily to the system to check the patient statues. The IoT shows the results online of body temperature, heartbeat, body movement and eye blink along with the time and the date for each parameter. Additionally, the results achieved for the body temperature and the heartbeat are 360° and 87 BPM respectively. Finally, the results obtained by the MPU-6050 gyroscope and the eye blink sensor were very satisfactory.\",\"PeriodicalId\":265737,\"journal\":{\"name\":\"2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE)\",\"volume\":\"47 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCEE.2018.8538366\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCEE.2018.8538366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integrated Health Monitoring System using GSM and IoT
This paper proposes a health monitoring system for the patient in a coma based on GSM and Internet of Things (IoT). In this proposed system, the four health parameters implemented are LM35 temperature sensor, heartbeat sensor, accelerometer sensor and eye blink sensor. Using these four parameters simultaneously, it has been monitored the coma patient’s condition. Hence ruling out the use of the thermometer and other devices to check the condition of the patient. Consequently, there is no need for a lot of clinical staff nor accompanying persons to be physically present to check the condition of the patient because there is GSM module to send SMS message to the mobile phone of the person in charge (nurses/doctor) in case there is any abnormalities in health parameters. Moreover, this system uses Wi-Fi for IoT wherein “Thingspeak” is used to monitor the coma patient online via mobile phone. Alternatively, the patient’s relative can log in easily to the system to check the patient statues. The IoT shows the results online of body temperature, heartbeat, body movement and eye blink along with the time and the date for each parameter. Additionally, the results achieved for the body temperature and the heartbeat are 360° and 87 BPM respectively. Finally, the results obtained by the MPU-6050 gyroscope and the eye blink sensor were very satisfactory.