PPT-ECG ARTIFACT REMOVAL FROM SINGLE-CHANNEL SURFACE EMG USING FULLY CONVOLUTIONAL NETWORKS

Presenter Cheng Lun Hsieh Email p12922006ntuedutw Phone 0933280509 Outline Background and motivation The proposed method Materials Results and discussion Conclusion 1. speciated. particulate . networks. Mark Green, Judith Chow, John Watson. Desert . R. esearch Institute. Ann . Dillner. University of California at Davis. Neil Frank and Joann Rice. USEPA Office of Air Quality Planning and Standards. Neural . Network Architectures:. f. rom . LeNet. to ResNet. Lana Lazebnik. Figure source: A. . Karpathy. What happened to my field?. . Classification:. . ImageNet. Challenge top-5 error. Figure source: . Sergey Zagoruyko & Nikos Komodakis. Introduction. Comparing Patches across images is one of the most fundamental tasks in computer vision. Applications include structure from motion, wide baseline matching and building panorama. By, . . Sruthi. . Moola. Convolution. . Convolution is a common image processing technique that changes the intensities of a pixel to reflect the intensities of the surrounding pixels. A common use of convolution is to create image filters. Sergey Zagoruyko & Nikos Komodakis. Introduction. Comparing Patches across images is one of the most fundamental tasks in computer vision. Applications include structure from motion, wide baseline matching and building panorama. Munif. CNN. The (CNN. ) . consists of: . . Convolutional layers. Subsampling Layers. Fully . connected . layers. Has achieved state-of-the-art result for the recognition of handwritten digits. Neural . Dr. David . Stannard. Dr. David Stannard D.C., FCCO(C), FACO, FABES.. Doctor of Chiropractic (Research Honors). Chiropractic Orthopedic Specialist. Fellow of the College of Chiropractic Orthopedists (Canada). Matthias Flittner. 1. , Robert Bauer. 1. ,. Amr . Rizk. 2. , . Stefan . Geißler. 3. , . Thomas . Zinner. 3. , . Martina . Zitterbart. 1. 1. Karlsruhe Institute . of. Technology, . 2. Technische . Universität Darmstadt, . signals. Md. . Assad-. Uz. -Zaman, . Md. . Rasedul. Islam, . Brahim. Brahmi. 1. , Miguel Garcia, . Mohammad . Rahman, M . Saad. 1. Bio-Robotics Lab, Department of Mechanical Engineering, . CEAS,UWM. Convolutional Codes COS 463 : Wireless Networks Lecture 9 Kyle Jamieson [Parts adapted from H. Balakrishnan ] So far, we’ve seen block codes Convolutional Codes: Simple design, especially at the transmitter By Ijlal . Haider. BioSignals. Human body is a complex system comprising many Electrical, Mechanical and Chemical subsystems. The electrical, chemical, and Mechanical activity that occurs during these biological event often produces signals that can be measured and analyzed.. 1 By Dr. Scott Day Bortec Biomedical Ltd 225, 604-1st ST SW Calgary, AB T2P 1M7 Ph +1 403.237.8144 Email info@bortec.ca www.bortec.ca 2 Table of Contents .............................................. n,k. ) code by adding the r parity digits. An alternative scheme that groups the data stream into much smaller blocks k digits and encode them into n digits with order of k say 1, 2 or 3 digits at most is the convolutional codes. Such code structure can be realized using convolutional structure for the data digits.. Paper ID: 8762. K. M. Naimul Hassan. , Md. Shamiul . Alam. . Hridoy. , Naima Tasnim, . Atia. . Faria. Chowdhury, Tanvir . Alam. Roni, Sheikh Tabrez, Arik . Subhana. , Celia Shahnaz. Department of Electrical and Electronic Engineering (EEE),.