SYSTEM AND METHOD FOR THE ANALYSIS OF BIOPOTENTIAL SIGNALS USING MOTION ARTIFACT REMOVAL TECHNIQUES
First Claim
1. A system for analysis of biopotential signals, comprising:
- a motion classification module; and
a motion artifact reduction module,wherein the motion classification module is configured to receive at least one biopotential signal and at least one reference secondary input signal, the motion classification module further configured to perform motion artifact classification for determining motion meta-information comprising a type and/or severity indication about motion phenomena causing artifacts in the biopotential signal and communicating said motion meta-information to the motion artifact reduction module;
wherein the motion artifact reduction module is configured to perform motion artifact removal from the received biopotential signal based on the information received from the motion classification module;
wherein the system is configured to evaluate an effectiveness of at least one algorithm used for motion artifact removal; and
wherein the system is further configured to generate feedback information between the motion classification module and the motion artifact reduction module for optimizing performance of the motion artifact classification.
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Abstract
A system and method for the analysis of biopotential signals using motion artifact removal techniques is disclosed. The system includes a motion classification module configured to receive at least one biopotential signal and at least one reference secondary input signal. The motion classification module performs motion artifact classification for determining motion meta-information, comprising a type and/or severity indication about motion phenomena causing artifacts in the biopotential signal. The motion classification module communicates motion meta-information to a motion artifact reduction module configured to remove motion artifacts from the biopotential signal based on the information received from the motion classification module. The system is further configured to evaluate the effectiveness of at least one algorithm used to remove motion artifacts, and generate feedback information between the motion classification module and the motion artifact reduction module to optimize motion artifact classification.
12 Citations
19 Claims
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1. A system for analysis of biopotential signals, comprising:
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a motion classification module; and a motion artifact reduction module, wherein the motion classification module is configured to receive at least one biopotential signal and at least one reference secondary input signal, the motion classification module further configured to perform motion artifact classification for determining motion meta-information comprising a type and/or severity indication about motion phenomena causing artifacts in the biopotential signal and communicating said motion meta-information to the motion artifact reduction module; wherein the motion artifact reduction module is configured to perform motion artifact removal from the received biopotential signal based on the information received from the motion classification module; wherein the system is configured to evaluate an effectiveness of at least one algorithm used for motion artifact removal; and wherein the system is further configured to generate feedback information between the motion classification module and the motion artifact reduction module for optimizing performance of the motion artifact classification. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A system for the analysis of biopotential signals, comprising:
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means for receiving at least one biopotential signal; means for receiving at least one reference secondary input signal; means for performing motion artifact classification for determining motion meta-information comprising a type and/or severity indication about motion phenomena causing motion artifacts in the biopotential signal; means for performing removal of the motion artifacts from the biopotential signal based on that motion artifact classification; means for evaluating the effectiveness of the removal of the motion artifacts from the biopotential signal; and means for generating feedback information for optimizing the performance of the motion artifact classification. - View Dependent Claims (18)
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19. A non-transitory computer readable medium, comprising computer executable instructions for causing a processor to perform a method for the analysis of biopotential signals, the method comprising:
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receiving, at least one biopotential signal; receiving at least one reference secondary input signal; performing motion artifact classification for determining motion meta-information comprising a type and/or severity indication about motion phenomena causing motion artifacts in the biopotential signal; performing removal of the motion artifacts from the biopotential signal based on that motion artifact classification; evaluating the effectiveness of the removal of the motion artifacts from the biopotential signal; and generating feedback information for optimizing the performance of the motion artifact classification.
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Specification