National Yang Ming Chiao Tung University

National Central University

Other

Bo-Jau Kuo

Ching-Hsiu Yang

Yu-Cheng Lin

Norden E Huang

Men-Tzung Lo

Guo-She Lee

Chung-Kang Peng

Shih-Ann Chen

Yu-Feng Hu

Vincent-Ite Hsieh

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.

Diagram building system and method for a signal data decomposition and analysis

An analysis module is provided in the invention. The analysis module is connected with a database containing several data. The analysis module comprises an analysis unit and a database managing system. The analysis unit is developed by a development software to combine HHT algorithm and an automatic data-loading program. The database managing system is integrated in the analysis unit and connected with the database. The data are transferred to the analysis unit by the database managing system, and the analysis unit is used to load the data by the automatic data-loading program and analyzes the data.

Analysis module, cloud analysis system and method thereof

The present invention provides a handy remote physiological signal detection system, comprising a sensing unit, a stimulation unit and a control unit. The sensing unit includes a detecting electrode, a first surface detection electrode, a second surface detection electrode and a sensing module. The sensing modules is used to detect the signals between the detection electrode and the first surface detection electrode to get an epicardial detection signal, and is also used to detect the signals between the second surface detection electrode and the first detection electrode to get a surface-ECG signal. The stimulus unit includes a stimulating electrode and a stimulus module used to provide a stimulus signal to the stimulating electrode. The control unit includes a user interface and a processing module used to convert the epicardial detection signal and the surface-ECG signal to digital signals and display the digital signals in the user interface. All systems were controlled through the remote system and are small and handy.

Physiological signal detection system

The present invention relates to a data buffer apparatus with wireless transmission function, including a transmission interface module, a memory module, a wireless transmission module and a microprocessor module. The transmission interface module is coupled to a monitoring unit and continuously receives at least one transmission signal data to be stored in the memory module. When the memory module has the transmission signal data, the microprocessor module controls the wireless transmission module to attempts to establish a wireless connection. If the wireless connection is successfully established, the transmission signal data will be sent. If the wireless connection can not be established, it will attempt to establish the wireless connection again after a period of time.

Data buffer apparatus with wireless transmission function

A method for behavior pattern analysis is provided in which the behavior signals of a subject are continuously detected using tri-axis accelerator. The behavior signals are divided as a plurality of time windows based on a predetermined time length. The plurality of time windows are configured as an X-Y matrix, and cross analysis is performed on the time windows as X-axis and Y-axis to obtain a plurality of correlation coefficients as being the preferred correlation values. A pattern with bright spots and dark spots is plotted according to the preferred correlation values, and behavior pattern is evaluated from the number and distribution of bright spots and the pattern. The behavior consistency of a subject can be efficiently evaluated, and his/her behavior abnormality, disease development or other situations can be determined accordingly.

Methods for behavior pattern analysis

The present invention provides a method and system of auditory evoked heart rate variability analysis having advantage of simply analytical process and portability. The disclosed method mainly includes the following steps of: stimulating the auditory system of a person by a sound through a sound transmission device, capturing an electrocardiogram signal of the person, performing analog-to-digital conversion of the electrocardiogram signal, selecting the peaks of the electrocardiogram signal and transforming the qualified peaks to a consecutive peak signal, and performing spectrum analysis to the peak signal in frequency domain, and obtaining the difference of the spectral parameters before and after the evoked sounds. Moreover, the sound further is selected from the group consisting of noise, short tone burst, click, and any other sound with the intensity of 30 dB to 100 dB. By comparing the heart rate variability analysis before or after sound stimulation in order to get the differences, the disclosed method and system of auditory evoked heart rate variability analysis can evaluate a changing index of stimulated autonomic functions.

Method and system of auditory evoked heart rate variability analysis

The invention provides a sleep analysis system and a method for analysis thereof. The sleep analysis system includes an analysis device and a sleep sensing apparatus. The sleep sensing apparatus includes an ECG signal collector, a multi-axial accelerometer, a wireless transmitting unit, and a control unit. The ECG signal collector is used for collecting an ECG signal associated with a subject. The multi-axial accelerometer is used for detecting a multi-axial accelerometer signal associated with the subject. The control unit controls the wireless transmitting unit to transmit the ECG signal and the multi-axial accelerometer signal to the analysis device for analyzing sleep of the subject.

Sleep analysis system and method for analyzing sleep thereof

A device for sensing a physiological signal comprises: two sensing units connected to the palms a subject respectively to receive a first electrocardiogram (ECG) signal; a filter for generating a second ECG signal by filtering the first ECG signal; an amplifying unit for generating a third ECG signal by amplifying the second ECG signal; an analog to digital converting unit for converting the third ECG signal into a digital signal; an operating unit for generating a plurality of analysis data by operationally analyzing the digital signal; and a display unit for displaying the plurality of analysis data. Therefore, the accuracy of the ECG is improved and the operation is simplified.

Device for sensing physiological signal and method for sensing the same

A chip for sensing a physiological signal comprises: an input unit for receiving a first electrocardiogram (ECG) signal; a filter for generating a second ECG signal by filtering the first ECG signal; an amplifying unit for generating a third ECG signal by amplifying the second ECG signal; an Analog-to-Digital converting unit for converting the third ECG signal into a digital signal; an operating unit for generating a plurality of analysis data by operational analyzing the digital signal; and an output unit for outputting the plurality of analysis data. Therefore, the manufacturing cost of the chip is decreased and the chip is suitable for use in small-scale devices.

Chip for sensing a physiological signal and method for sensing the same

A method for detecting hearing impairment and a device thereof are provided. The device includes a sound collecting unit and analyzing unit. The sound collecting unit is used for receiving a voice signal from a subject based on the subject pronouncing a vowel. The analyzing unit is coupled to the sound collecting unit and is used for receiving the voice signal and performing a signal processing and a predetermined operation for the voice signal to provide the power of low-frequency oscillations of the voice fundamental frequency of the subject, wherein the hearing impairment of the subject is linear dependency with the low frequency oscillations.

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Taipei, Taiwan

Bo-Jau Kuo