Signal processing method and device for signal-to-noise improvement
First Claim
1. A method for processing a measured signal to extract a signal component and suppress a noise component of the measured signal, wherein the signal component is a substantially periodic signal characterized by a substantially well-defined peak-to-peak intensity value, the method comprising the steps of (i) determining upper and lower envelopes of the measured signal;
- and (ii) analyzing the upper and lower envelope values to extract the signal component from the measured signal.
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Accused Products
Abstract
A method and apparatus extract a signal component of a measured signal using one of two methods. If the signal component in the measured signal is a periodic signal with a certain well-defined peak-to-peak intensity value, upper and lower envelopes of the measured signal are determined and analyzed to extract said signal component of the measured signal. This signal component can further be used to calculate a desired parameter of the sample. The DC component of the signal is determined as the median value of the upper envelope, and the AC component is determined as the median value of the difference between the upper and lower envelopes. If the signal component of the measured signal is a periodic signal characterized by a specific asymmetric shape, a specific adaptive filtering is applied to the measured signal, resulting in the enhancement of the signal component relative to a noise component. This adaptive filtering is based on a derivative of the Gaussian Kernel having specific parameters matching the characteristics of the signal component.
329 Citations
61 Claims
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1. A method for processing a measured signal to extract a signal component and suppress a noise component of the measured signal, wherein the signal component is a substantially periodic signal characterized by a substantially well-defined peak-to-peak intensity value, the method comprising the steps of
(i) determining upper and lower envelopes of the measured signal; - and
(ii) analyzing the upper and lower envelope values to extract the signal component from the measured signal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A signal processing method for use in determination of a desired parameter of a sample, the method comprising the steps of:
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providing a measured signal representative of a response of the sample to an external field, the measured signal comprising a signal component indicative of the desired parameter, and a noise component, the signal component being a substantially periodic signal characterized by a substantially well-defined peak-to-peak intensity value;
determining upper and lower envelopes of the measured signal; and
analyzing the upper and lower envelope values to extract the signal component from the measured signal, to enable further processing of the extracted signal component to determine the desired parameter. - View Dependent Claims (17)
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18. A method for processing a measured signal to enhance a signal component relative to a noise component in the measured signal, wherein the signal component is a characterized by a specific asymmetric shape, the method comprising the steps of:
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defining a kernel function being a derivative of a Gaussian with parameters matching the characteristics of the signal component; and
applying spectral filtering to the measured signal with the kernel function, thereby enhancing the signal component relative to the noise component in the filtered measured signal.
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19. A method for processing a measured signal including a first signal component in the-form of a substantially periodic signal with substantially well-defined peak-to-peak intensity value, and a second signal component characterized by a specific asymmetric shape, to extract the signal components from noise components, the method comprising the steps of:
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processing the measured signal by determining upper and lower envelopes thereof, and analyzing the upper and lower envelope values to extract the first signal component; and
defining a kernel function being a derivative of a Gaussian with parameters matching characteristics of the second signal component, and processing the measured signal by filtering it with the kernel function parameters, thereby enhancing the second signal component relative to the noise component in the filtered measured signal.
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20. A method for processing measured data representative of a first measured signal including a first signal component in the form of a substantially periodic signal with substantially well-defined peak-to-peak intensity value, and a second measured signal including a second signal component characterized by a specific asymmetric shape, to extract the signal components from noise components, the method comprising the steps of
processing the first measured signal by determining upper and lower envelopes thereof, and analyzing the upper and lower envelope values to extract the first signal component; defining a kernel function being a derivative of a Gaussian with parameters matching characteristics of the second signal component, and processing the second measured signal by filtering it with the kernel function parameters, thereby enhancing the second signal component relative to the noise component in the filtered second measured signal. - View Dependent Claims (21, 22)
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23. A control unit for use with a measurement device to receive and process a measured signal generated by the measurement device so as to extract a signal component from a noise component in the measured signal, the signal component being a substantially periodic signal with substantially well-define peak-to-peak intensity value, the control unit comprising a data processing and analyzing utility preprogrammed to determine upper and lower envelopes of the measured signal, and analyzing the upper and lower envelope values to extract the signal component.
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24. A control unit for use with a measurement device to receive and process a measured signal generated by the measurement device so as to enhance a signal component relative to a noise component in the measured signal, the signal component being characterized by a specific asymmetric shape, the control unit comprising a data processing and analyzing utility preprogrammed to define a kernel function being a derivative of a Gaussian with parameters matching the characteristics of the signal component, and apply spectral filtering to said measured signal with the kernel function parameters, thereby enhancing the signal component relative to the noise component in the filtered measured signal.
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25. A pulse oximeter comprising:
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(a) a measurement device operable to illuminate a measurement location with incident light of predetermined frequencies, detect a light response of the measurement location to said incident light, and generate a measured signal indicative thereof including a signal component representative of a pulsatile blood-related signal; and
(b) a control unit connectable to the measurement device for receiving and processing the measured signal, the control unit comprising a data processing and analyzing utility preprogrammed to determine upper and lower envelopes of the measured signal, and analyze the upper and lower envelope values to extract said pulsatile blood-related signal component from a noise component in the measured signal. - View Dependent Claims (26, 27, 28)
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29. A measurement system to be applied to a sample to determine a desired parameter thereof, the system comprising:
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a measurement device operable to apply an external field to a measurement location on the sample or medium, detect a response of the measurement location to the application of the external field, and generate measured data indicative thereof, the measured data containing a first measured signal including a signal component in the form of a substantially periodic signal with a substantially well-defined peal-to-peak intensity value, and a second measured signal including a second signal component characterized by a specific asymmetric shape; and
a control unit connectable to the measurement device for receiving and processing the measured data, the control unit comprising data processing and analyzing preprogrammed to process the first measured signal by determining upper and lower envelopes thereof and analyze the upper and lower envelope values to extract the first signal component from a noise component in the first measured signal, and to process the second measured signal by filtering it with a predefined kernel function being a derivative of a Gaussian with parameters matching the characteristics of the second signal component, thereby enhancing the second signal component relative to a noise component in the filtered measured signal. - View Dependent Claims (30, 31)
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32. A computer program storage device readable by a machine, tangibly embodying a program of instructions executable by a machine to perform method steps of processing a measured signal to extract a signal component and suppress a noise component of the measured signal, wherein the signal component is a substantially periodic signal characterized by a substantially well-defined peak-to-peak intensity value, which method comprises the steps of:
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(i) determining upper and lower envelopes of the measured signal; and
(ii) analyzing the upper and lower envelope values to extract the signal component from the measured signal.
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33. A computer program storage device readable by a machine, tangibly embodying a program of instructions executable by a machine to perform method steps of processing a measured signal to enhance a signal component relative to a noise component in the measured signal, wherein the signal component is characterized by a specific asymmetric shape, which method comprises the steps of
defining a kernel function being a derivative of a Gaussian with parameters matching the characteristics of the signal component; - and
applying filtering to the measured signal with the kernel function parameters, thereby enhancing the signal component relative to the noise component in the filtered measured signal.
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34. A method for determining a parameter of a signal, comprising:
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(i) determining upper and lower envelopes of the signal, and (ii) analyzing the upper and lower envelopes to extract a signal component of the signal; and
,(iii) determining the parameter of the signal as a function of the signal component. - View Dependent Claims (35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46)
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47. A method for determining a parameter of a signal having a signal component, including the steps of:
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(i) defining a kernel function as a derivative of a Gaussian with parameters matching characteristics of the signal component; and
(ii) applying a spectral filter to the signal, the spectral filter using the kernel function and responsively enhancing the second signal component; and
,(iii) determining a second parameter of the signal as a function of the enhanced second signal component. - View Dependent Claims (48)
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49. A method for determining first and second parameters of a signal, the signal having first and second signal components, comprising:
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(i) determining upper and lower envelopes of the signal, and (ii) analyzing the upper and lower envelopes to extract the first signal component of the signal;
(iii) determining the first parameter of the signal as a function of the first signal component;
(iv) defining a kernel function as a derivative of a Gaussian with parameters matching characteristics of the second signal component; and
(v) applying a spectral filter to the signal, the spectral filter using the kernel function and responsively enhancing the second signal component; and
,(vi) determining a second parameter of the signal as a function of the enhanced second signal component.
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50. An apparatus, comprising:
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a detector for receiving a measured signal; and
,a controller coupled to the detector and adapted to receive the measured signal, determine upper and lower envelopes of the measured signal, analyze the upper and lower envelopes to extract a signal component of the signal, and to determine a parameter of the signal as a function of the signal component. - View Dependent Claims (51, 52, 53, 54, 55, 56, 57, 58, 59)
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60. An apparatus, comprising:
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a detector for receiving a measured signal; and
,a controller coupled to the detector and adapted to receive the measured signal, define a kernel function as a derivative of a Gaussian with parameters matching characteristics of the signal component, apply a spectral filter to the signal, the spectral filter using the kernel function and responsively enhance the second signal component, and to determine a second parameter of the signal as a function of the enhanced second signal component. - View Dependent Claims (61)
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Specification