Nasmin Jiwani, Ketan Gupta, Md. Haris Uddin Sharif, N. Adhikari, Neda Afreen
{"title":"生物反馈治疗偏头痛的综合分析","authors":"Nasmin Jiwani, Ketan Gupta, Md. Haris Uddin Sharif, N. Adhikari, Neda Afreen","doi":"10.1109/ICETEMS56252.2022.10093407","DOIUrl":null,"url":null,"abstract":"These days, migraines are a prevalent issue for almost everyone. A migraine strike can be brought on by a stressful job, the effects of genetics on children from parents, changes in lifestyle, unusual dietary habits, weather changes, excessive caffeine consumption, overuse of medication, and the stress and tension of day to day life. To demonstrate the proposed work, a standard migraine dataset is taken to show how these processes are helpful in real. In order to learn, data set Kostecki-Dillon obtained from the UCI machine learning repository, which includes 4152 records on 133 participants for 9 attributes, headaches reports set down in a therapy program were separated from Tammy Kostecki-records Dillon’s on migraine handling. According to numerous experimental research, biofeedback therapy is quite beneficial for migraine headaches. Muscle discomfort is recorded by biofeedback devices, which then display those levels to the patient. Muscles are kept adequately relaxed because the patient learns to connect precise levels of tension with sensations from the muscles. This study focuses on the range of current migraine treatment methods as well as how biofeedback works to counteract the negative side effects of allopathic drugs. This work also focused on biofeedback processes for the general population depending on gender, age, and other characteristics.","PeriodicalId":170905,"journal":{"name":"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Comprehensive Analysis of Biofeedback Treatment in Migraine\",\"authors\":\"Nasmin Jiwani, Ketan Gupta, Md. Haris Uddin Sharif, N. Adhikari, Neda Afreen\",\"doi\":\"10.1109/ICETEMS56252.2022.10093407\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"These days, migraines are a prevalent issue for almost everyone. A migraine strike can be brought on by a stressful job, the effects of genetics on children from parents, changes in lifestyle, unusual dietary habits, weather changes, excessive caffeine consumption, overuse of medication, and the stress and tension of day to day life. To demonstrate the proposed work, a standard migraine dataset is taken to show how these processes are helpful in real. In order to learn, data set Kostecki-Dillon obtained from the UCI machine learning repository, which includes 4152 records on 133 participants for 9 attributes, headaches reports set down in a therapy program were separated from Tammy Kostecki-records Dillon’s on migraine handling. According to numerous experimental research, biofeedback therapy is quite beneficial for migraine headaches. Muscle discomfort is recorded by biofeedback devices, which then display those levels to the patient. Muscles are kept adequately relaxed because the patient learns to connect precise levels of tension with sensations from the muscles. This study focuses on the range of current migraine treatment methods as well as how biofeedback works to counteract the negative side effects of allopathic drugs. This work also focused on biofeedback processes for the general population depending on gender, age, and other characteristics.\",\"PeriodicalId\":170905,\"journal\":{\"name\":\"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)\",\"volume\":\"222 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETEMS56252.2022.10093407\",\"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 International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETEMS56252.2022.10093407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Comprehensive Analysis of Biofeedback Treatment in Migraine
These days, migraines are a prevalent issue for almost everyone. A migraine strike can be brought on by a stressful job, the effects of genetics on children from parents, changes in lifestyle, unusual dietary habits, weather changes, excessive caffeine consumption, overuse of medication, and the stress and tension of day to day life. To demonstrate the proposed work, a standard migraine dataset is taken to show how these processes are helpful in real. In order to learn, data set Kostecki-Dillon obtained from the UCI machine learning repository, which includes 4152 records on 133 participants for 9 attributes, headaches reports set down in a therapy program were separated from Tammy Kostecki-records Dillon’s on migraine handling. According to numerous experimental research, biofeedback therapy is quite beneficial for migraine headaches. Muscle discomfort is recorded by biofeedback devices, which then display those levels to the patient. Muscles are kept adequately relaxed because the patient learns to connect precise levels of tension with sensations from the muscles. This study focuses on the range of current migraine treatment methods as well as how biofeedback works to counteract the negative side effects of allopathic drugs. This work also focused on biofeedback processes for the general population depending on gender, age, and other characteristics.