National Central University

Other

National Yang Ming Chiao Tung University

Dynadx Corporation

Chen Lin

Men-Tzung Lo

Yi-Chung Chang

Shih-Ann Chen

Wan-Hsin Hsieh

Yenn-Jiang Lin

Hsiang-Chih Chang

Matthew Huei-Ming Ma

Lian-Yu Lin

Kun Hu

Yung-Hung Wang

Patrick Chow-In Ko

Norden E Huang

Pa-Chun Wang

Thi-Thao Tran

Van-Truong Pham

Leh-Kiong Huon

Hsu-Wen Vincent Young

Cheng-Yen Wang

Han-Hwa Hu

Huan-Yu Kuo

Wen-Chu Chiang

Ke-Hsin Hsu

Yunn-Jy Chen

Hung-Yi Lee

Ting-Fang Shih

Fa-Po Chung

The present invention provides a bed set for inhibition of obstructive sleep apnea, which includes: a sound receiving module, is used to receive a respiratory sound signal obtained from a user during a time period; a sound analyzing processor, which is connected with the sound receiving module, is used to obtain a snoring sound characteristic from the spectrum of respiratory sound signal; a database, which has a plurality of snoring image characteristics corresponding to a plurality of basic snoring sound characteristics for different respiratory actions; a control processor, which is connected with the sound analyzing processor and the database, is used to compare the snoring sound characteristic with the basic snoring sound characteristics to select one of the snoring image characteristics in the same waveform, and provides the first angle control order and the second angle control order corresponding to the selecting snoring image characteristic; a first pillow, which is connected to the control processor, declines a first angle toward a declination direction after receiving the first control order; and a second pillow, which is connected to the control processor, declines a second angle toward the declination direction after receiving the second control order.

Bed set for inhibition obstructive sleep apnea

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

A computer-assisted method for quantitative characterizing atrial fibrillation (AF) in a patient includes recording unipolar atrial fibrillation signals from multiple sites in a patient's atria, calculating bipolar electrograms using unipolar AF signals recorded at adjacent sites by a computer system, applying Empirical Mode Decomposition to remove a background from the bipolar electrogram signal to obtain a filtered bipolar electrogram signal, applying Hilbert transform to an envelope function of the filtered bipolar electrogram signal to obtain a time series of instantaneous phases of the filtered bipolar electrogram signal, and identifying a rotor region in patient's atria using the instantaneous phases in the filtered bipolar electrogram signal.

System and method for indentifying rotors in fractionated signals in persistent atrial fibrillation ablation

A computer-assisted method for quantitative analysis of respiratory sinus arrhythmia (RSA) includes obtaining a time series of a cardiac interval signal from an individual, obtaining a time series of a respiratory signal from the individual; decomposing the cardiac interval signal into a first group of ensemble empirical modes; obtaining, by a computer system, a time series of RSA instantaneous amplitude from at least one of the first group of ensemble empirical modes; decomposing the respiratory signal into a second group of ensemble empirical modes; obtaining a time series of respiratory instantaneous phase from the one of the second group of ensemble empirical modes; determining respiratory period from the time series of the respiratory instantaneous phase; and quantifying RSA in the individual according to a dependence of the RSA instantaneous amplitude on the respiratory period.

System and method for quantitative analysis of respiratory sinus arrhythmia

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 computer-assisted method for quantitative characterization and treatment of ventricular fibrillation includes preprocessing a time series of an atrial fibrillation signal obtained from a patient, segmenting the time series of the AF signal into activation segments by the computer system, obtaining local activation waveforms (LAW) from the activation segments, determining degrees of similarity between the LAWs, and identifying one or more critical regions in the patient's atria if the LAWs have degrees of similarity exceeding a first threshold value.

System and method for improved complex fractionated electrogram ablation

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.

System and method for predicting successful defibrillation for ventricular fibrillation cardiac arrest

Growing community of inventors

Jhongli, Taiwan

Chen Lin