- 學位論文
應用於即時癲癇偵測之資訊系統開發
Development of Real-time Epileptic Seizure Detection Applications
摘要
摘要 世界上大約有6500萬人被診斷出患有癲癇症。治療癲癇的方法有很多種，醫生提供的首要治療方法是服用抗癲癇藥物。藥物治療所控制癲癇發作的效果能滿足大多數的癲癇患者，但仍有35％的患者罹患不受藥物控制的癲癇，因此手術成為可能消除癲癇發生區的另一種選擇。 然而，手術後的患者仍需要服用藥物同時伴隨著偶發性的癲癇發作。 這些治療方法還是會使患者遭遇到偶發性的癲癇發作，從而影響患者的生活品質，並導致可能會對患者本人及其周圍人造成危險的事故。 為了有效處理患者癲癇發作的狀況，本論文開發了癲癇發作應用程序，其處理來自癲癇發作檢測標籤（ESDT）的數據。這些應用包括兩部分：1) ESDT APP; 2) Cloud Service ESDT。 ESDT APP具有發送警報消息的功能，可以記錄保存在雲端中的每日紀錄和癲癇發作紀錄。警報系統具有驗證程序，可在發送SMS警報之前處理錯誤的癲癇發作。作為補充系統，Cloud Service ESDT具有表示來自雲端的數據的功能。這些應用記錄兩種數據是每日腦電圖原始數據和30秒發作前的發作和癲癇發作期信號，這對癲癇發作分析和改善癲癇發作演算法很重要。應用程序中的驗證數據是通過比較從ESDT APP上顯示的ESDT和Cloud Service ESDT中顯示的雲端中數據接收的數據之間的模式信號形狀來完成的。從ESDT APP發送到雲端中的數據可以幫助患者記錄他們的癲癇發作數據，並在Cloud Service ESDT中顯示，幫助醫生進行診斷或研究。 關鍵詞：癲癇發作應用程式，雲端，網路應用程式
並列摘要
Abstract Around 65 million people have been diagnosed with epilepsy. There are many ways offered for the treatment of epilepsy. The first treatment that doctor offer is Antiepileptic drugs. Antiepileptic drugs provide seizure control that is satisfying for most epilepsy patients but there are still 35 % of patient has uncontrolled epilepsy. Surgery could become the other option to remove the epileptogenic zone. However, the patients who did surgery still have to consume medicine and suffer seizures occasionally. These treatments still cause occasional seizures in patients, which affects the patient's quality of life and leads to accidents that may pose a danger to the patient and the people around them. From that intention to handle if the patient still has a seizure, this thesis develops epileptic seizure applications which process data from Epileptic Seizure Detection Tag (ESDT). These applications consist of two part: 1) ESDT APP; 2) Cloud service ESDT. The ESDT APP has features to send alert message and can record a daily record and epileptic seizure record which saves in the cloud. The alert system has a verification procedure to handle a false seizure before send SMS alert. As a complementary system, Cloud service ESDT has function to represent data from the cloud. Those applications record two kinds of data is daily EEG raw data and 30-second pre-ictal and ictal seizure signal which important for epileptic seizure analysis and improvement epileptic seizure detection algorithm. The verification data in applications is done by comparing pattern signal shape between data is received from ESDT which display on ESDT APP and data in the cloud which shows in the Cloud service ESDT. Data which is sent from on ESDT APP into the cloud can help patient record their seizure data and it is shown in Cloud service ESDT which help doctors for diagnosis or research. Keywords: Epileptic Seizure Application, Cloud, Web Application