Patent Issued for Diagram Building System And Method For A Signal Data Decomposition And Analysis (USPTO 10,354,422)

2019 JUL 26 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- From Alexandria, Virginia, NewsRx journalists report that a patent by the inventors Huang, Norden E. (Jhongli, TW); Kuo, Bo-Jau (Taipei, TW); Lin, Yu-Cheng (Taipei, TW); Peng, Chung-Kang (Sharon, MA); Lo, Men-Tzung (Jhongli, TW), filed on April 4, 2016, was published online on July 29, 2019.

The patent’s assignee for patent number 10,354,422 is National Central University (Taoyuan, Taiwan).

News editors obtained the following quote from the background information supplied by the inventors: “As technology advances, more and more detectors are used to detect physiological signal, which can provide users detecting their physical condition by themselves. However, the physiological signals detected by the detectors are various and complex, and the information measured for each time cannot be collated in a systematic way. The users only can know the current physical condition, but cannot know individual overall trend toward and changes physiological parameters.

“The conventional technology has provided some health management systems, but almost of them are off-line diagram building systems. The conventional health management systems are not only relatively large and complex, but also need professional human operations to analyze, so the cost is high and it requires more manpower and time consuming.”

As a supplement to the background information on this patent, NewsRx correspondents also obtained the inventors’ summary information for this patent: “The present invention provides a diagram building adapted to process a signal data analysis, and the signal data with a time period, wherein the signal data can be a nonlinear or non-stationary data, such as physiology information. The diagram building system includes an inputting device for receiving the signal data, a computing device and an outputting device for displaying a visual diagram. The computing device further comprises a segmenting processor, an analyzing processor and a reorganizing processor.

“The segmenting processor of the invention divides the signal data into a plurality of window scales according to one of time interval scales. The time interval scale is one of time periods which the signal data with.

“The analyzing processor of the invention decomposes the window scales via Hilbert Huang transform (HHT) algorithm to generate a plurality of quantized windows according to different components. In a preferred embodiment, the components are composed of a plurality of single-frequency components.

“The reorganizing processor of the invention respectively calculates the value of quantized windows with the same frequency component through a quantifying function to generate a plurality of specific frequency values.

“Finally, the outputting device of the invention sequentially arranges the specific frequency values according to the time interval scales and the single-frequency components to form a visual diagram.

“The present invention also provides a diagram building method for a signal data analyzing, that comprises receiving a signal data. The segmenting processor repeats to divide the signal data into a plurality of window scales according to one of time interval scales, wherein each time interval scale is one of time periods which the signal data with. By Hilbert-Huang Transform (HHT) algorithm, the window scales are decomposed by the analyzing processor to generate a plurality of quantized windows according to different components, wherein the components are a plurality of single-frequency components. The method further respectively calculates the value of quantized windows with the same single-frequency component through a quantifying function to generate a plurality of specific frequency values via the reorganizing processor. Finally, the outputting device is connected to the compute device and sequentially arranges the specific frequency values according to the time interval scales and the single-frequency components to form a visual diagram.

“The diagram building system and method of the invention can be provided as an automated health management system through comparing the indicators generated after processing the signal data and health indicators measured. Furthermore, the signal data measured by personal health detectors can be automatically uploaded to the server via a wired connection or a wireless connection to be either directly analyzed by the server or by the individual client.

“All records and information are stored and applied EMD method of Hilbert transform method to decompose the complex signal data into different components and non-oscillation trends. The components are a plurality of intrinsic mode functions (IMFs). In a preferred embodiment, the components are a plurality of single-frequency components. The non-oscillation trend is a non-oscillation residue.

“The intrinsic mode functions (IMFs) decomposed can be as fluctuations information of physiological parameters in these days, weeks or months. The non-oscillation residue has ruled out the influence of the transient noise or temporary fluctuations, therefore the non-oscillation residue can be used as individual overall trend toward and changes physiological parameters, so that users can effectively get their physical condition and related information.”

The claims supplied by the inventors are:

“What is claimed is:

“1. A diagram building system generating a visual diagram for a nonlinear or non-stationary analog signal data collected an environment during an independent time, comprising: an inputting device, receiving the nonlinear or non-stationary analog signal data; a computing device connected to the inputting device, including: a segmenting processor, determining a plurality of time interval scales, wherein each time interval scale is one of several time periods of the signal data, then dividing the signal data of each time interval scale into a plurality of window scales according to a time interval scales selection; an analyzing processor, repeating to decompose each of the window scales by Hilbert-Huang Transform (HHT) algorithm to generate a plurality of quantized windows according to different components, wherein the components are a plurality of single-frequency components; and a reorganizing processor, selecting the quantized windows from each time interval scale and dividing with each corresponding different component to generate a plurality of specific frequency values through a quantifying function; the computing device obtaining the specific frequency values of the time interval scales by dividing according to different time periods, then selecting at least two colors, expressing a minimum and a maximum of the specific frequency values by two colors of the at least two colors, and expressing other intensities of a specific frequency values by a plurality of other colors in different mixing ratios of the at least two colors; and an outputting device connected to the computing device, sequentially arranging the at least two colors and the other colors according to the time interval scales and the different components of the specific frequency values on a coordinate map that shows a relationship between a window scale domain and a time domain of a specific frequency value to form the visual diagram.

“2. The diagram building system according to claim 1, wherein the HHT algorithm comprises an Empirical Mode Decomposition (EMD) method.

“3. The diagram building system according to claim 1, wherein the single-frequency components are a plurality of intrinsic mode functions (IMF) and a trend function.

“4. The diagram building system according to claim 1, wherein the quantifying function is a standard deviation function, a value difference function, a value slope function or a fluctuation index function.

“5. The diagram building system according to claim 1, wherein the relationship of specific frequency value is a three-dimensional color-level-variation visual diagram with a triangular form.

“6. The diagram building system according to claim 1, wherein the visual diagram is the relationship between a window scale domain and a fluctuation index domain.

“7. The diagram building system according to claim 1, wherein the signal data is a nonlinear or non-stationary data.

“8. The diagram building system according to claim 7, wherein the nonlinear or non-stationary data is physiology information.

“9. The diagram building system according to claim 1, the compute device is a remote device or a proximal device.

“10. The diagram building system according to claim 1, the outputting device is a graphical user interface.

“11. A diagram building method for generating a visual diagram for a nonlinear or non-stationary analog signal data collected from a phenomenon variety during an independent time, comprising: a. receiving the nonlinear or non-stationary analog signal data; b. determining a plurality of time interval scales, wherein each time interval scale is one of several time periods of the signal data; c. dividing the signal data into a plurality of window scales according to one of the time interval scales selections; d. repeating to decompose each of the window scales by an HHT algorithm to generate a plurality of quantized windows according to different components, wherein the components are a plurality of single-frequency components; e. respectively selecting the quantized windows from a same time interval scale dividing with the same single-frequency component to generate a plurality of specific frequency values through a quantifying function; f. repeating step c to step e for each of the time interval scales, obtaining specific frequency values of the time interval scales divided according to different time periods; g. selecting at least two colors, expressing a minimum and a maximum of the specific frequency values by two colors of the at least two colors, and expressing other intensities of a specific frequency values by a plurality of other colors in different mixing ratios of the at least two colors; and h. sequentially arranging the two colors and the other colors according to the time interval scales and the single-frequency components of the specific frequency values on a coordinate map that shows a relationship between a window scale domain and a time domain of a specific frequency value to form the visual diagram.”

For additional information on this patent, see: Huang, Norden E.; Kuo, Bo-Jau; Lin, Yu-Cheng; Peng, Chung-Kang; Lo, Men-Tzung. Diagram Building System And Method For A Signal Data Decomposition And Analysis. U.S. Patent Number 10,354,422, filed April 4, 2016, and published online on July 29, 2019. Patent URL: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=10,354,422.PN.&OS=PN/10,354,422RS=PN/10,354,422

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