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KR-20260066983-A - METHOD AND APPARATUS FOR COMPRESSING A SIGNAL

KR20260066983AKR 20260066983 AKR20260066983 AKR 20260066983AKR-20260066983-A

Abstract

A signal compression method and apparatus are disclosed. A signal compression method according to one embodiment may include the step of dividing the neural signal into a plurality of signal segments based on whether a spike signal within the neural signal is detected, the step of determining a compression rate corresponding to each of the plurality of signal segments, and the step of compressing a signal portion included in each of the plurality of signal segments according to the compression rate.

Inventors

  • 서준엽

Assignees

  • 삼성전자주식회사

Dates

Publication Date
20260512
Application Date
20241105

Claims (17)

  1. A step of dividing the neural signal into a plurality of signal segments based on whether a spike signal within the neural signal is detected; A step of determining a compression rate corresponding to each of the plurality of signal segments; and A step of compressing the signal portions included in each of the plurality of signal segments according to the above compression ratio A method including
  2. In paragraph 1, The above-mentioned determining step is, A step of determining a compression rate corresponding to each of the plurality of signal segments based on the range of size of the signal portion included in each of the plurality of signal segments. A method including
  3. In paragraph 2, The step of determining a compression ratio corresponding to each of the plurality of signal segments based on the range of signal magnitudes of the signal portions included in each of the plurality of signal segments, For each of the plurality of signal intervals, a step of extracting a minimum value of the signal magnitude; A step of reducing the signal magnitude of a signal portion included in each of the plurality of signal intervals; and Step of determining the compression ratio based on a signal with reduced signal magnitude A method including
  4. In paragraph 3, The signal with reduced signal magnitude mentioned above is, A method in which the signal magnitude is reduced based on the above minimum value.
  5. In paragraph 3, The step of determining the compression ratio based on the signal with reduced signal magnitude is: For the signal with reduced signal magnitude, a step of extracting the maximum value of the signal magnitude; Based on the above maximum value, a step of calculating the number of bits; and Step of determining the compression ratio based on the number of bits above A method including
  6. In paragraph 5, The above number of bits is, A method having the minimum number of bits capable of representing the above maximum value.
  7. In paragraph 3, For each of the plurality of signal intervals, a step of storing the minimum value as an offset; and A step of storing the above compression ratio in association with a corresponding signal segment A method that further includes.
  8. In paragraph 1, The above plurality of signal intervals are, A first type of signal section including the above spike signal; and A second type of signal section that does not include the above spike signal A method including
  9. A computer program stored on a computer-readable recording medium in combination with hardware to execute the method of any one of claims 1 through 8.
  10. In the device, One or more processors; and Memory that stores instructions Includes, When the above commands are executed by the one or more processors, the device, A step of dividing the neural signal into a plurality of signal segments based on whether a spike signal within the neural signal is detected; A step of determining a compression rate corresponding to each of the plurality of signal segments; and A step of compressing the signal portions included in each of the plurality of signal segments according to the above compression ratio A device that enables the execution of
  11. In Paragraph 10, When the above commands are executed by the one or more processors, the device, A step of determining a compression rate corresponding to each of the plurality of signal segments based on the range of size of the signal portion included in each of the plurality of signal segments. A device that enables further execution.
  12. In Paragraph 11, When the above commands are executed by the one or more processors, the device, For each of the plurality of signal intervals, a step of extracting a minimum value of the signal magnitude; A step of reducing the signal magnitude of a signal portion included in each of the plurality of signal intervals; and Step of determining the compression ratio based on a signal with reduced signal magnitude A device that enables further execution.
  13. In Paragraph 12, The signal with reduced signal magnitude mentioned above is, A device in which the signal magnitude is reduced based on the above minimum value.
  14. In Paragraph 12, When the above commands are executed by the one or more processors, the device, For the signal with reduced signal magnitude, a step of extracting the maximum value of the signal magnitude; Based on the above maximum value, a step of calculating the number of bits; and Step of determining the compression ratio based on the number of bits above A device that enables further execution.
  15. In Paragraph 14, The above number of bits is, A device having the minimum number of bits capable of representing the above maximum value.
  16. In Paragraph 12, When the above commands are executed by the one or more processors, the device, For each of the plurality of signal intervals, a step of storing the minimum value as an offset; and A step of storing the above compression ratio in association with a corresponding signal segment A device that enables further execution.
  17. In Paragraph 10, The above plurality of signal intervals are, A first type of signal section including the above spike signal; and A second type of signal section that does not include the above spike signal A device including

Description

Method and apparatus for compressing a signal The following embodiments relate to a signal compression method and apparatus. Neural signals are biological signals generated during the process in which cells transmit information electrically or chemically. Neural signals can include spike signals, which are short, rapid electrical signals that occur when a cell is activated. Since the data size of measured neural signals is vast, there may be limitations to storing all of it. Accordingly, a method is used in which only data for specific signal segments surrounding spike signals is stored, while segments where spike signals are not detected are treated as noise and deleted. Meanwhile, to analyze postsynaptic potentials (PSPs) to verify the connectivity between neurons, information regarding signals other than spike signals (e.g., non-spike signals) may also be required. Therefore, a method capable of efficiently storing measured signals without compromising them may be necessary. The background technology described above is possessed or acquired by the inventor in the process of deriving the content of the disclosure of the present application, and cannot necessarily be considered as prior art disclosed to the general public prior to the filing of this application. FIG. 1 is a drawing for illustrating an electronic device for compressing neural signals according to one embodiment. FIG. 2 is an example diagram of the configuration of a device according to one embodiment. FIG. 3 is a diagram illustrating a neural signal according to one embodiment. FIG. 4 is a diagram illustrating a signal compression method according to one embodiment. FIG. 5 is a flowchart illustrating a signal compression method according to one embodiment. FIG. 6 is a flowchart illustrating a signal compression method according to one embodiment. FIG. 7 is a block diagram illustrating an example of an electronic device according to one embodiment. Specific structural or functional descriptions of the embodiments are disclosed for illustrative purposes only and may be modified and implemented in various forms. Accordingly, actual implementations are not limited to the specific embodiments disclosed, and the scope of this specification includes modifications, equivalents, or substitutions included in the technical concept described by the embodiments. Terms such as "first" or "second" may be used to describe various components, but these terms should be interpreted solely for the purpose of distinguishing one component from another. For example, the first component may be named the second component, and similarly, the second component may be named the first component. When it is stated that a component is "connected" to another component, it should be understood that it may be directly connected to or coupled with that other component, or that there may be other components in between. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this document, phrases such as “A or B,” “at least one of A and B,” “at least one of A or B,” “A, B or C,” “at least one of A, B and C,” and “at least one of A, B, or C” may each include any one of the items listed together with the corresponding phrase, or all possible combinations thereof. In this specification, terms such as “comprising” or “having” are intended to designate the existence of the described feature, number, step, action, component, part, or combination thereof, and should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof. Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this specification. Hereinafter, embodiments will be described in detail with reference to the attached drawings. In the description with reference to the attached drawings, identical components are given the same reference numeral regardless of the drawing number, and redundant descriptions thereof will be omitted. FIG. 1 is a drawing for illustrating an electronic device for compressing neural signals according to one embodiment. Referring to FIG. 1, an electronic device (100) can receive a neural signal, compress the neural signal, and output the compressed neural signal. The neural signal may include an extracellular signal measured outside the cell and an intracellular signal measured inside the cell. The electronic device (100) can measure the neural signal of a cell (e.g., neuron, muscle cell). The neural signal may include a microelectrode array (MEA) device. An MEA device is a device that arr