Abstract: A multi-channel real-time cardiovascular performance evaluation system, includes: a multi-channel ECG signals measurement unit, a multi-channel ECG signals processing device, and an ECG signals reconstruction unit. The method uses a MAMA-END algorithm, to mark ECG signals to replace the original ECG signal, and to extract characteristic peak value of the ECG signal. As such, the method is able to extract and reconstruct a first signal having QRS wave, and a second signal having T wave; then the method detects and marks the start of Q wave and the end of T wave on the first signal and the second signal. Therefore, the method is able to determine and evaluate if a patient does have cardiovascular disease, and to locate the lesion positions of a patient having cardiovascular disease.

Abstract: A multi-channel real-time cardiovascular performance evaluation system, includes: a multi-channel ECG signals measurement unit, a multi-channel ECG signals processing device, and an ECG signals reconstruction unit. The method uses a MAMA-END algorithm, to mark ECG signals to replace the original ECG signal, and to extract characteristic peak value of the ECG signal. As such, the method is able to extract and reconstruct a first signal having QRS wave, and a second signal having T wave; then the method detects and marks the start of Q wave and the end of T wave on the first signal and the second signal. Therefore, the method is able to determine and evaluate if a patient does have cardiovascular disease, and to locate the lesion positions of a patient having cardiovascular disease.

Abstract: A method and system of obstructed area determination for sleep apnea syndrome are disclosed. The method comprising obtaining a snoring signal from an individual; obtaining a spectrogram of the snoring signal based on short-time Fourier Transform; obtaining a snoring signal feature based on a harmonic wave of the spectrogram; and obtaining a collapse index by comparing the snoring signal feature against a snoring signal feature-collapse index correlation database. The present invention enables the diagnosis of sleep apnea syndrome and determination the obstructed area for the sleep apnea syndrome with only the snoring signal of an individual during sleep.

Abstract: 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,

Abstract: The present invention provides a diagram building system adapted for processing a signal with a time period. The diagram building system comprises a inputting device for receiving the signal; a computing device, dividing the signal into a plurality of window scales according to one of time interval scales; decomposing the window scales via HHT algorithm to generate a plurality of quantized windows according to different components; then, calculating the value of quantized windows with the same single-frequency component through a quantifying function to generate a plurality of specific frequency values; an outputting device, sequentially arranging the specific frequency values according to the time interval scales and the single-frequency components to form a visual diagram.

Abstract: The invention provides a system and a method for an otitis media database constructing. The steps of method comprise: First, receiving a plurality of tympanic membrane images, wherein the tympanic membrane images are ear infection in different types. Second, choosing one of the tympanic membrane images, then classifying into a plurality of anatomic regions based on a plurality of tissue types. Coding each of anatomic regions with a numerical number to describe its morbid condition, and obtaining an eigenvalue through collecting the numerical number of each anatomic region. Furthermore, repeatedly choosing other one of tympanic membrane images until each tympanic membrane image obtaining the eigenvalue. And obtaining a matrix through collecting the eigenvalue of each tympanic membrane image, then generating an otitis media database.

Abstract: 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,

Abstract: The invention provides a system and a method for an otitis media database constructing. The steps of method comprise: First, receiving a plurality of tympanic membrane images, wherein the tympanic membrane images are ear infection in different types. Second, choosing one of the tympanic membrane images, then classifying into a plurality of anatomic regions based on a plurality of tissue types. Coding each of anatomic regions with a numerical number to describe its morbid condition, and obtaining an eigenvalue through collecting the numerical number of each anatomic region. Furthermore, repeatedly choosing other one of tympanic membrane images until each tympanic membrane image obtaining the eigenvalue. And obtaining a matrix through collecting the eigenvalue of each tympanic membrane image, then generating an otitis media database.

Abstract: A method implemented through an electronic system for processing a sequential data to identify possible peak points is disclosed. The method defines a decayed threshold function and partition the sequential data into a plurality of segments by grouping each data point with surrounding data points into one of the segments. After that, a plurality of weighted segments are derived through weighting the surrounding data points by the decayed threshold function in each of the segments, and the peak points are identified through corresponding weighted segment.

Abstract: A feedback photoplethysmography measuring device is provided, including: a measuring device that measures a human body to obtain a photoplethysmography signal; an analog/digital conversion unit that converts the photoplethysmography signal measured by the measuring device to a photoplethysmography value which is a digital value; a variation-degree calculation unit that calculates a photoplethysmography variation value according to the photoplethysmography value converted by the analog/digital conversion unit; and a feedback emitted light amplitude adjustment unit that controls the measuring device according to a plurality of preset control values or the adjusted photoplethysmography variation value calculated by the variation-degree calculation unit, and adjusts the photoplethysmography variation value to a minimum variation value.

Abstract: 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.

Abstract: A method and system of obstructed area determination for sleep apnea syndrome are disclosed. The method comprising obtaining a snoring signal from an individual; obtaining a spectrogram of the snoring signal based on short-time Fourier Transform; obtaining a snoring signal feature based on a harmonic wave of the spectrogram; and obtaining a collapse index by comparing the snoring signal feature against a snoring signal feature-collapse index correlation database. The present invention enables the diagnosis of sleep apnea syndrome and determination the obstructed area for the sleep apnea syndrome with only the snoring signal of an individual during sleep.

Abstract: The present invention provides a diagram building system adapted for processing a signal with a time period. The diagram building system comprises a inputting device for receiving the signal; a computing device, dividing the signal into a plurality of window scales according to one of time interval scales; decomposing the window scales via HHT algorithm to generate a plurality of quantized windows according to different components; then, calculating the value of quantized windows with the same single-frequency component through a quantifying function to generate a plurality of specific frequency values; an outputting device, sequentially arranging the specific frequency values according to the time interval scales and the single-frequency components to form a visual diagram.

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: A method implemented in a system of signal processing for phase-amplitude coupling (PAC) and amplitude-amplitude coupling (AAC), wherein comprises: decomposing a non-stationary signal by an ensemble empirical mode decomposition (EEMD) into a plurality of intrinsic mode functions (IMFs), receiving a phase function and an amplitude function from the IMFs, then comparing the phase function with the amplitude function on a time domain to generate a plurality of scattering plots. Further more, multiplying the scattering plots by the modulation index to generate a frequency spectrum. The following information will be illustrated the different part of PAC and AAC.

Abstract: 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.

Abstract: 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.

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.