平時照顧好健康 病了就要好好看醫生吃藥論文書籍站
Epileptic seizure的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列問答集和懶人包總整理
Epileptic seizure的問題，我們搜遍了碩博士論文和台灣出版的書籍，推薦寫的 Soft Computing and Signal Processing: Proceedings of 4th ICSCSP 2021 和的 Non-Epileptic Seizures in Our Experience: Accounts of Healthcare Professionals都 可以從中找到所需的評價。
另外網站Epilepsy - first aid and safety - Better Health Channel也說明：Epilepsy is a common condition of the brain in which a person tends to have recurrent unprovoked seizures. · Safety precautions should be sensible and relevant ...
這兩本書分別來自 和所出版 。
國立陽明交通大學 跨領域神經科學國際研究生博士學位學程 連正章所指導 伊木夏的 解析下視丘投射至海馬回突觸中共同傳遞麩胺酸及-氨基丁酸的功能意義 （2021），提出Epileptic seizure關鍵因素是什麼，來自於海馬回、乳頭上核、光遺傳學、電生理、麩胺酸、γ-氨基丁酸。
而第二篇論文國立陽明交通大學 電子研究所 吳重雨、柯明道所指導 江詠姍的 應用於植入式生醫元件具正一倍壓及正負三倍壓主動式整流器之新型高壓互補式金氧半高效率無線功率與雙向數據遙傳次系統 （2021），提出因為有 主動式整流器、電子耳、刺激器、無線功率與雙向資料傳輸的重點而找出了 Epileptic seizure的解答。
最後網站Quick injection helps stop epileptic seizures - Harvard Health則補充：An epileptic seizure is a frightening thing to experience, and almost as frightening to watch. Fortunately, most seizures stop on their own ...
Soft Computing and Signal Processing: Proceedings of 4th ICSCSP 2021
為了解決Epileptic seizure 的問題，作者 這樣論述：
Data Preprocessing and finding optimal value of K for KNN Model.- Prediction of Cardiac Diseases using Machine Learning Algorithms.- A Comprehensive Approach to Misinformation Analysis and Detection of Low-Credibility News.- Evaluation of Machine Learning Algorithms for Electroencephalography based
Epileptic Seizure State Recognition.- Lung Disease Detection and Classification from Chest X-Ray Images using Adaptive Segmentation and Deep Learning.- A Quantitative analysis for Breast Cancer prediction using Artificial Neural Network and Support Vector Machine.- Tracking Misleading News of COVID-
19 within Social Media.- Energy aware Multi-chain PEGASIS in WSN: A Q-Learning Approach.- TEXTLYTIC: Automatic Project Report Summarization using NLP Techniques.- Management of Digital Evidence for Cybercrime Investigation- A Review.- Realtime Human Pose Detection and Recognition using Mediapipe.- C
harge the Missing Data with Synthesized Data by using SN-Sync technique.- Discovery of Popular Languages from GitHub Repository: A Data Mining.- Performance Analysis of Flower Pollination Algorithms using Statistical Methods: An Overview.- Counterfactual causal analysis on structured data.- Crime An
alysis Using Machine Learning.- Multi-Model Neural Style Transfer for Audio and Image (MMNST).- Feature Extraction from Radiographic Skin Cancer Data using LRCS.- Shared Filtering-Based Advice Of Online Group Voting.- Mining Challenger From Bulk Preprocessing Datasets.- Prioritized Load Balancer for
minimization of VM and Data Transfer Cost in Cloud Computing.- Smart Underground Drainage Management System using Internet of Things.- Iot Based System For Health Monitoring Of Arrhythmia Patients Using Machine Learning Classification Techniques.- EHR-Sec: A Blockchain based Security System for Ele
ctronic Health.- End to End Speaker Verication For Short Utterances.- A Comprehensive Analysis on Multi-class Imbalanced Bigdata Classification.- Efficient Recommender System for Kid’s Hobby using Machine Learning.- Programming Associative Memories.- Novel Associative Memories based on Spherical Sep
erability.- An Intelligent Fog-IoT based Disease Diagnosis Healthcare System.- Pre-processing of linguistic divergence in English- Marathi language pair in Machine Translation.- Deep Learning Approach for Image Based Plant Species Classification.- Inventory, Storage and Routing Optimization with Hom
ogeneous Fleet in the Secondary Distribution Network Using a Hybrid VRP, Clustering and MIP Approach.- Evaluation and Comparison of various static and dynamic load balancing strategies used in cloud computing.- Dielectric Resonator Antenna with Hollow Cylinder for Wide Bandwidth.- Recent Techniques
in Image Retrieval: A Comprehensive Survey.- Medical Image Fusion Based On Energy Attribute and PA-PCNN in NSST Domain.- Electrical Shift and Linear Trend artifacts removal from single channel EEG using SWT-GSTV model.- Forecasting Hourly Electrical Energy output of a Power plant using parametric mo
dels.- Cataract detection using Deep Convolutional Neural Networks.- Comparative Analysis of Body Biasing Techniques for Digital Integrated Circuits.- Optical Mark Recognition with Facial Recognition System.- Evaluation of Antenna Control System for Tracking Remote Sensing Satellites.- Face Recognit
ion using Cascading of HOG and LBP Feature Extraction.- Design of wideband patch Antenna using metamaterial and Dielectric resonator Structures.- Call Admission Control for Interactive Multimedia Applications in 4G Networks.- AI-based Pro-Mode in Smartphone Photography.- A ML-Based Model to Quantify
Ambient Air Pollutant.- Multimodal biometric system using Undecimated Dual-Tree Complex Wavelet Transform.- Design of Modified Dual - Coupled Linear Congruential Generator Method Architecture for Pseudorandom Bit Generation.- Performance Analysis of PAPR and BER in FBMC-OQAM With Low-complexity Usi
ng Modified Fast Convolution.- Sign Language Recognition using Convolution Neural Network.- Key Bas
解析下視丘投射至海馬回突觸中共同傳遞麩胺酸及-氨基丁酸的功能意義
為了解決Epileptic seizure 的問題，作者伊木夏 這樣論述：
中文摘要海馬回為負責認知及情緒功能的關鍵腦區。齒狀回為海馬回次核區中的第一個訊號處理器其會接受來自大腦皮質及皮質下核區傳來的訊號。其中，大腦皮質至海馬回路徑會在記憶獲得及提取時傳遞記憶相關的訊息；然而，來自皮質下的訊號參與了調控皮質及海馬回間的訊息溝通。下視丘乳頭上核藉由共同釋放兩種截然不同的快速神經傳遞物質，也就是麩胺酸及-氨基丁酸，來實質上的支配齒狀回活性，因而能協助空間定位及空間記憶的形成。然而乳頭上核中神經元是藉由何種突觸機制來調控齒狀回活性及其突觸可塑性尚未被釐清。齒狀回由興奮性的顆粒細胞及抑制性的中間神經元所組成。在這本論文中，我用光遺傳學、電生理及藥理學的方法，證明來自乳頭上
核的訊號會透過不同的突觸機制差異性地調控齒狀回中不同種細胞的活性。選擇性活化乳頭上核會在所有的突觸後神經元產生突觸興奮及突觸抑制作用，然而這兩種作用的比例是會依突觸後細胞種類的不同而改變的。具體來說，樹突抑制型中間神經元主要接收突觸興奮作用，然而體抑制型中間神經元及顆粒細胞則主要接收突觸抑制訊號。雖然單獨活化乳頭上核並不足以興奮顆粒細胞，但是在有興奮性驅動力的情況下，活化乳頭上核可使顆粒細胞產生動作電位的時間更精準並縮短其產生動作電位所需的時間。此外，在有皮質訊號輸入時活化乳頭上核會增加顆粒細胞動作電位的產生，進而促使皮質到顆粒細胞突觸間的長期增強作用。總結來說，這些發現顯示了乳頭上核共同傳遞
的麩胺酸及-氨基丁酸對於維持齒狀回中興奮/抑制的動態平衡是有貢獻的，並且能透過提升皮質到顆粒細胞突觸間的長期增強作用來幫助記憶的編碼。
Non-Epileptic Seizures in Our Experience: Accounts of Healthcare Professionals
為了解決Epileptic seizure 的問題，作者 這樣論述：
Markus Reuber is a Neurologist whose clinical work and research focuses on seizure disorders. He is particularly interested in the differential diagnosis of epilepsy and the aetiology and treatment of psychogenic nonepileptic seizures (PNES) and has published over 200 articles on these and other neu
rological topics. Apart from helping to develop a clinical service for his own patients, as Chair of the Psychogenic Nonepileptic Seizure Task Force of the International League Against Epilepsy, he has helped to advance the cause of individuals with PNES around the world. He is Editor-in-Chief of Se
izure - European Journal of Epilepsy. Gregg H. Rawlings is currently a Trainee Clinical Psychologist at The University of Sheffield, UK. He has completed a BSc and MSc in Psychology, and more recently, a PhD in Clinical Neuroscience. His doctoral thesis involved exploring the subjective experience o
f living with epileptic or nonepileptic seizures. He was lead author of the first systematic review investigating healthcare professional’s perceptions of PNES involving nearly 4000 professionals worldwide. Steven C. Schachter is Chief Academic Officer for the Consortia for Improving Medicine with I
nnovation & Technology (CIMIT) and a Professor of Neurology at Harvard Medical School. He is Past President of the American Epilepsy Society and serves on the Epilepsy Foundation of America Board of Directors. Dr. Schachter has published over 250 articles and chapters and edited or written 35 books.
He is a member of the Administrative Committee of the IEEE Engineering in Medicine and Biology Society (EMBS), the Clinical Editor for Journal of Translational Engineering in Health and Medicine and founding editor and editor-in-chief of the medical journals Epilepsy & Behavior and Epilepsy & Behav
ior Case Reports.
應用於植入式生醫元件具正一倍壓及正負三倍壓主動式整流器之新型高壓互補式金氧半高效率無線功率與雙向數據遙傳次系統
為了解決Epileptic seizure 的問題，作者江詠姍 這樣論述：
Contents摘要 iABSTRACT iiACKNOWLEDGEMENTS ivContents vFigure Captions viiTable Captions xiiChapter 1 Introduction 11.1 Background 11.2 Review on Wireless Power and Bilateral Data Telemetry 61.3 Review on BPSK Forward Telemetry 101.4 Motivation 141.5 Main Results and T
hesis Organization 16Chapter 2 1X/3X/-3X Active Rectifier 182.1. Design Considerations 182.2 Circuit Design and Operation 202.2.1 Steady-state Operation 202.2.2 Dynamic Deep P-Well (DPW) and N-well (NW) Bias 282.2.3 Delay-compensated Circuit 332.2.4 Start-up Circuit 422.3 Pos
t-Simulation Results 46Chapter 3 Bilateral Data Telemetry Circuit 543.1 Design Considerations 543.1.1 BPSK Design 563.1.2 PLSK Design 583.2 Design of Binary Phase-Shift Keying(BPSK) Forward Telemetry Circuit 593.2.2 BPSK/PLSK Demodulator 593.2.2.1 Envelope Detector 613.2.2.2
Comparator and Clock Recovery Circuit [5] 633.2.1 BPSK Modulator [5] 653.3 Design of Pulsed Load-Shift Keying (PLSK) Back Telemetry Circuit 683.3.1 PLSK Modulator [20] 683.3.2 PLSK/BPSK Demodulator 703.4 Post-Simulation Results 713.4.1 BPSK Circuit 753.4.2 PLSK Circuit 78Chap
ter 4 Experimental Results 794.1 Chip Layout Descriptions 794.2 Measurement Setup 814.3 Measurement Results 884.3.1 Measurement Results of Near-field Coils 884.3.2 Measurement Results of 1X/3X/-3X Active Rectifier 894.3.3 Measurement Results of BPSK Forward Telemetry Circuit 964
.3.3 Measurement Results of PLSK Back Telemetry Circuit 994.4 Discussions 102Chapter 5 Conclusions and Future Work 1135.1 Conclusions 1135.2 Future Work 116References 118