{"title":"癫痫发作的突然跌倒检测和保护","authors":"T. Padma, C. Kumari","doi":"10.1109/ICRIEECE44171.2018.9009317","DOIUrl":null,"url":null,"abstract":"An Epileptic Seizure is a sudden and uncontrolled symptom originated in brain. They could be due to abnormal electrical activity start in brain for very brief period and also recurring seizures due to a brain disorder. Therefore during the event there is an effect due to bumps, cuts /bruises are commonly observed occurrences. The effect of injuries are seriously caused due to falling and losing alertness or realization during or after a seizure, for instance a broken bone or injury. This project used an Arduino based airbag protection system for the people suffering from seizures by using an accelerometer, which will detect the fall of the person and triggers the airbag. A push pull solenoid is used to puncture a canister that is present in the airbag. A relay is used to operate the solenoid. When the fall is detected, the Arduino will trigger the airbag. This project helps the people who are suffering from epilepsy and protect them from injuries. This project objectives to design and development of precise system for fall detection based on Arduino technology through noticeable perfection in accuracy and specificity of system. Initial phase a close approximation and selection of its relevant threshold values and prototype design. Later Phase consist of application on test subjects to visualise the accuracy in system design.","PeriodicalId":393891,"journal":{"name":"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","volume":"2017 20","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Sudden Fall Detection and Protection for Epileptic Seizures\",\"authors\":\"T. Padma, C. Kumari\",\"doi\":\"10.1109/ICRIEECE44171.2018.9009317\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An Epileptic Seizure is a sudden and uncontrolled symptom originated in brain. They could be due to abnormal electrical activity start in brain for very brief period and also recurring seizures due to a brain disorder. Therefore during the event there is an effect due to bumps, cuts /bruises are commonly observed occurrences. The effect of injuries are seriously caused due to falling and losing alertness or realization during or after a seizure, for instance a broken bone or injury. This project used an Arduino based airbag protection system for the people suffering from seizures by using an accelerometer, which will detect the fall of the person and triggers the airbag. A push pull solenoid is used to puncture a canister that is present in the airbag. A relay is used to operate the solenoid. When the fall is detected, the Arduino will trigger the airbag. This project helps the people who are suffering from epilepsy and protect them from injuries. This project objectives to design and development of precise system for fall detection based on Arduino technology through noticeable perfection in accuracy and specificity of system. Initial phase a close approximation and selection of its relevant threshold values and prototype design. Later Phase consist of application on test subjects to visualise the accuracy in system design.\",\"PeriodicalId\":393891,\"journal\":{\"name\":\"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)\",\"volume\":\"2017 20\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRIEECE44171.2018.9009317\",\"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 Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRIEECE44171.2018.9009317","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sudden Fall Detection and Protection for Epileptic Seizures
An Epileptic Seizure is a sudden and uncontrolled symptom originated in brain. They could be due to abnormal electrical activity start in brain for very brief period and also recurring seizures due to a brain disorder. Therefore during the event there is an effect due to bumps, cuts /bruises are commonly observed occurrences. The effect of injuries are seriously caused due to falling and losing alertness or realization during or after a seizure, for instance a broken bone or injury. This project used an Arduino based airbag protection system for the people suffering from seizures by using an accelerometer, which will detect the fall of the person and triggers the airbag. A push pull solenoid is used to puncture a canister that is present in the airbag. A relay is used to operate the solenoid. When the fall is detected, the Arduino will trigger the airbag. This project helps the people who are suffering from epilepsy and protect them from injuries. This project objectives to design and development of precise system for fall detection based on Arduino technology through noticeable perfection in accuracy and specificity of system. Initial phase a close approximation and selection of its relevant threshold values and prototype design. Later Phase consist of application on test subjects to visualise the accuracy in system design.