Abstract: A method of process technology assessment is provided. The method includes: defining a scope of the process technology assessment, the scope comprising an original process technology and a first process technology; modeling a first object in an integrated circuit into a resistance domain and a capacitance domain; generating a first resistance scaling factor and a first capacitance scaling factor based on the modeling, the original process technology, and the first process technology; and utilizing, by an electronic design automation (EDA) tool, the first resistance scaling factor and the first capacitance scaling factor for simulation of the integrated circuit.

Abstract: A cardiac diagnostic method includes the following steps: providing an electrocardiogram (ECG) signal; obtaining a body surface potential vector according to the ECG signal; calculating the body surface potential vector and a pre-created mapping tensor to obtain a cardiac potential vector, wherein the mapping tensor is obtained according to a plurality of abnormal positions and a plurality of degree of abnormalities generated by a reference heart; and classifying the abnormal positions and the degree of abnormalities of a detected heart corresponding to the ECG signal according to the cardiac potential vector. In addition, the present disclosure further provides a non-transitory computer-readable medium and system that can operate the above-mentioned cardiac diagnostic method.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.