Patents by Inventor Matthew Huei-Ming Ma

Matthew Huei-Ming Ma has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10846518
    Abstract: A facial stroking detection method includes a detecting step and a determining step. The detecting step includes a pre-processing step, a feature extracting step and a feature selecting step. In the pre-processing step, an image is captured by an image capturing device, and the image is pre-processed so as to obtain a post-processing image. In the feature extracting step, a plurality of image features are extracted from the post-processing image so as to form an image feature set. In the feature selecting step, a determining feature set is formed by selecting a part of the image features from the image feature set and entered into a classifier. In the determining step, wherein the classifier provides a determining result according to the determining feature set.
    Type: Grant
    Filed: November 28, 2018
    Date of Patent: November 24, 2020
    Assignee: NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
    Inventors: Chuan-Yu Chang, Man-Ju Cheng, Matthew Huei-Ming Ma
  • Patent number: 10722126
    Abstract: A heart rate detection method includes a facial image data acquiring step, a feature points recognizing step, an effective displacement signal generating step and a heart rate determining step. The feature points recognizing step is for recognizing a plurality of feature points, wherein a number range of the feature points is from three to twenty, and the feature points include a center point between two medial canthi, a point of a pronasale and a point of a subnasale of the face. The effective displacement signal generating step is for calculating an original displacement signal, wherein the original displacement signal is converted to an effective displacement signal. The heart rate determining step is for transforming the effective displacement signals of each of the feature points to an effective spectrum, wherein a heart rate is determined from one of the effective spectrums corresponding to the feature points, respectively.
    Type: Grant
    Filed: November 28, 2018
    Date of Patent: July 28, 2020
    Assignee: NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
    Inventors: Chuan-Yu Chang, Hsiang-Chi Liu, Matthew Huei-Ming Ma
  • Publication number: 20200167551
    Abstract: A facial stroking detection method includes a detecting step and a determining step. The detecting step includes a pre-processing step, a feature extracting step and a feature selecting step. In the pre-processing step, an image is captured by an image capturing device, and the image is pre-processed so as to obtain a post-processing image. In the feature extracting step, a plurality of image features are extracted from the post-processing image so as to form an image feature set. In the feature selecting step, a determining feature set is formed by selecting a part of the image features from the image feature set and entered into a classifier. In the determining step, wherein the classifier provides a determining result according to the determining feature set.
    Type: Application
    Filed: November 28, 2018
    Publication date: May 28, 2020
    Inventors: Chuan-Yu CHANG, Man-Ju CHENG, Matthew Huei-Ming MA
  • Publication number: 20200163560
    Abstract: A heart rate detection method includes a facial image data acquiring step, a feature points recognizing step, an effective displacement signal generating step and a heart rate determining step. The feature points recognizing step is for recognizing a plurality of feature points, wherein a number range of the feature points is from three to twenty, and the feature points include a center point between two medial canthi, a point of a pronasale and a point of a subnasale of the face. The effective displacement signal generating step is for calculating an original displacement signal, wherein the original displacement signal is converted to an effective displacement signal. The heart rate determining step is for transforming the effective displacement signals of each of the feature points to an effective spectrum, wherein a heart rate is determined from one of the effective spectrums corresponding to the feature points, respectively.
    Type: Application
    Filed: November 28, 2018
    Publication date: May 28, 2020
    Inventors: Chuan-Yu CHANG, Hsiang-Chi LIU, Matthew Huei-Ming MA
  • Patent number: 9451898
    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.
    Type: Grant
    Filed: January 12, 2016
    Date of Patent: September 27, 2016
    Assignee: NATIONAL CENTRAL UNIVERSITY
    Inventors: Men-Tzung Lo, Yung-Hung Wang, Chen Lin, Hsu-Wen Vincent Young, Hsiang-Chih Chang, Lian-Yu Lin, Wan-Hsin Hsieh, Matthew Huei-Ming Ma, Kun Hu
  • Publication number: 20160120429
    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.
    Type: Application
    Filed: January 12, 2016
    Publication date: May 5, 2016
    Inventors: Men-Tzung LO, Yung-Hung WANG, Chen LIN, Hsu-Wen Vincent YOUNG, Hsiang-Chih CHANG, Lian-Yu LIN, Wan-Hsin HSIEH, Matthew Huei-Ming MA, Kun HU
  • Patent number: 9259167
    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.
    Type: Grant
    Filed: July 2, 2014
    Date of Patent: February 16, 2016
    Assignee: NATIONAL CENTRAL UNIVERSITY
    Inventors: Men-Tzung Lo, Wan-Hsin Hsieh, Chen Lin, Yi-Chung Chang, Hsiang-Chih Chang, Lian-Yu Lin, Patrick Chow-In Ko, Wen-Chu Chiang, Matthew Huei-Ming Ma, Kun Hu
  • Publication number: 20160000346
    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.
    Type: Application
    Filed: July 2, 2014
    Publication date: January 7, 2016
    Inventors: Men-Tzung LO, Wan-Hsin HSIEH, Chen LIN, Yi-Chung CHANG, Hsiang-Chih CHANG, Lian-Yu LIN, Patrick Chow-In KO, Wen-Chu CHIANG, Matthew Huei-Ming MA, Kun HU
  • Patent number: 8380305
    Abstract: A computer-assisted method for quantitative characterization and treatment of ventricular fibrillation includes acquiring a time series of a ventricular fibrillation (VF) signal using a probe from a patient experiencing VF, subtracting the mean from the time series of the VF signal, calculating a cumulative VF signal after the mean is subtracted from the time series of the VF signal, segmenting the cumulative VF signal by a plurality of sampling boxes, calculating the root-mean-square of the cumulative VF signal as a function of the sampling box size , extracting an exponent of the root-mean-square of the cumulative VF signal as a function of the sampling box size, applying electrical defibrillation to the patient if the exponent is below a predetermined value, and applying cardiopulmonary resuscitation (CPR) to the patient if the exponent is above a predetermined value.
    Type: Grant
    Filed: July 1, 2010
    Date of Patent: February 19, 2013
    Assignee: DynaDx Corporation
    Inventors: Men-Tzung Lo, Lian-Yu Lin, Patrick Chow-In Ko, Chen Lin, Matthew Huei-Ming Ma
  • Publication number: 20120004693
    Abstract: A computer-assisted method for quantitative characterization and treatment of ventricular fibrillation includes acquiring a time series of a ventricular fibrillation (VF) signal using a probe from a patient experiencing VF, subtracting the mean from the time series of the VF signal, calculating a cumulative VF signal after the mean is subtracted from the time series of the VF signal, segmenting the cumulative VF signal by a plurality of sampling boxes, calculating the root-mean-square of the cumulative VF signal as a function of the sampling box size , extracting an exponent of the root-mean-square of the cumulative VF signal as a function of the sampling box size, applying electrical defibrillation to the patient if the exponent is below a predetermined value, and applying cardiopulmonary resuscitation (CPR) to the patient if the exponent is above a predetermined value.
    Type: Application
    Filed: July 1, 2010
    Publication date: January 5, 2012
    Inventors: Men-Tzung Lo, Lian-Yu Lin, Patrick Chow-In Ko, Chen Lin, Matthew Huei-Ming Ma