National Central University

Other

Hsiang-Chih Chang

Men-Tzung Lo

Chen Lin

Yi-Chung Chang

Wan-Hsin Hsieh

Lian-Yu Lin

Matthew Huei-Ming Ma

Kun Hu

Shih-Ann Chen

Kuo-Kai Shyu

Yenn-Jiang Lin

Po-Lei Lee

Yung-Hung Wang

Patrick Chow-In Ko

Huan-Yu Kuo

Hsu-Wen Vincent Young

Fa-Po Chung

Wen-Chu Chiang

A computer-assisted method for quantitatively characterizing atrial fibrillation in a patient includes recording time series of bipolar atrial fibrillation signals at multiple sites in a patient's atria using two or more electrodes, calculating a similarity index vector by a computer system based on the bipolar atrial fibrillation signal between a first site and its neighboring sites, constructing an similarity-index vector field based on similarity-index vectors at different sites, calculating Curl and Divergence of the similarity-index vector field, calculating Rotor Identification using Curl and Divergence, calculating Focal Identification using Divergence, and determining one or more critical regions in the patient's atria if Rotor Identification is above a first predetermined threshold and Focal Identification is above a second predetermined threshold.

Accurately indetifying critcal regions in atrial fibrillation by identifying rotors in directional similarity vector field

This invention discloses a system and a method for extracting VF signal in ECG recorded during uninterrupted CPR. The present invention provides a method for extracting a Ventricular fibrillation (VF) signal in Electrocardiography (ECG), comprising: receiving an ECG signal; adding a plurality of shadowing functions to the ECG signal, to obtain a plurality of modification signals; decomposing the plurality of modification signals by using an Empirical Mode Decomposition (EMD) method, to generate a plurality of Intrinsic Mode Functions (IMFs); calculating the sum of IMFs in different frequency regions based on time sequence, dividing by a number of the shadowing signal, to obtain a plurality of modification intrinsic mode functions; combining the plurality of modification IMFs with the same property, to obtain a shape function; modeling the shape functions to obtain a compression signal; and subtracting the compression signal from the ECG signal based on time sequence, to obtain the VF signal.

Method and system for extracting ventricular fibrillation signals in electrocardiogram using spline interpolation with uniform phase ensembles

This invention discloses a system and method for extracting VF signal in ECG recorded during uninterrupted CPR. The method and system applies an adaptive algorithm incorporating the EMD and least mean square (LMS) filtering to effectively model the CPR artifacts such as chest compression signals. Thus, A VF signal in ECG recorded during uninterrupted CPR can be extracted without deteriorating the reliability of the waveform parameter (i.e. AMSA) of shockability. The present invention enables uninterrupted CPR performed during recording ECG for accessing the shockability, so that an increase the probability of successful resuscitation is achieved.

Method and system for extracting ventricular fibrillation signals in electrocardiogram

A control method of a brain computer interface (BCI) with a stepping delay flickering sequence is provided. First, a plurality of different flickering sequence signals are generated by encoding a static flashing segment and a plurality of stepping delay flashing segments divided in different time sequences. Then, a plurality of target images corresponding to the flickering sequence signals are displayed. Thereafter, a response signal generated by an organism evoked by the target images is acquired. Then, signal processing is performed on the response signal by using a mathematic method to distinguish which one of the target images is gazed by the organism. Thereafter, a controlling command corresponding to one of the target images is generated. A control system of a BCI with a stepping delay flickering sequence is also provided herein.

Control method and system of brain computer interface with stepping delay flickering sequence

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Jhongli, Taiwan

Hsiang-Chih Chang