Method and system for detecting a respiratory signal
First Claim
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1. A method of analyzing a photoplethysmograph signal, comprising:
- segmenting the photoplethysmograph signal into at least a plurality of temporal segments;
extracting from each temporal segment of said plurality of temporal segments a plurality of features including at least respiration parameters, to construct a multidimensional feature space;
employing a path selection procedure to said multidimensional feature space to assign a respiration frequency or a range of respiration frequencies separately for each segment of said plurality of temporal segments, thereby determining at least one sequence of respiration frequencies, wherein each respiration frequency or range of respiration frequencies corresponds to a state of said multidimensional feature space and wherein said path selection procedure calculates probabilities of transitions between states;
reconstructing a respiratory signal using said sequence; and
displaying said reconstructed respiratory signal and adjusting a therapy based on said displayed reconstructed respiratory signal.
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Abstract
A method of analyzing a plethysmograph signal is disclosed. The method comprises: extracting from the signal a plurality of features, thereby constructing a feature space. The method further comprises employing a path selection procedure to the feature space for determining at least one sequence of respiration frequencies and reconstructing a respiratory signal using the sequence.
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Citations
20 Claims
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1. A method of analyzing a photoplethysmograph signal, comprising:
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segmenting the photoplethysmograph signal into at least a plurality of temporal segments; extracting from each temporal segment of said plurality of temporal segments a plurality of features including at least respiration parameters, to construct a multidimensional feature space; employing a path selection procedure to said multidimensional feature space to assign a respiration frequency or a range of respiration frequencies separately for each segment of said plurality of temporal segments, thereby determining at least one sequence of respiration frequencies, wherein each respiration frequency or range of respiration frequencies corresponds to a state of said multidimensional feature space and wherein said path selection procedure calculates probabilities of transitions between states; reconstructing a respiratory signal using said sequence; and displaying said reconstructed respiratory signal and adjusting a therapy based on said displayed reconstructed respiratory signal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 18, 19)
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9. Apparatus for analyzing a photoplethysmograph signal, comprising:
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an input unit for receiving the photoplethysmograph signal; and a data processor configured for segmenting the photoplethysmograph signal into at least a plurality of temporal segments;
extract from each temporal segment of said plurality of temporal segments a plurality of features including at least respiration parameter, thereby constructing a multidimensional feature space;
employing a path selection procedure to said multidimensional feature space to assign a respiration frequency or a range of respiration frequencies separately for each segment of said plurality of temporal segments, thereby determining at least one sequence of respiration frequencies;
reconstructing a respiratory signal using said sequence, wherein each respiration frequency or range of respiration frequencies corresponds to a state of said feature space and wherein said path selection procedure calculates probabilities of transition between states, and displaying said reconstructed respiratory signal. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 20)
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17. A photoplethysmograph system, comprising;
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a photoplethysmograph sensor configured for generating a photoplethysmograph signal and an analysis apparatus which comprises an input unit for receiving the photoplethysmograph signal; and a data processor configured for segmenting the photoplethysmograph signal into at least a plurality of temporal segments;
extracting from each temporal segment of said plurality of temporal segments a plurality of features including at least respiration parameters, thereby constructing a multidimensional feature space;
employing a path selection procedures to said multidimensional feature space to assign a respiration frequency or a range of respiration frequencies separately for each segment of said plurality of temporal segments, determining at least one sequence of respiration frequencies;
reconstructing a respiratory signal using said sequence, wherein each respiration frequency or range of respiration frequencies corresponds to a state of said feature space and wherein said path selection procedure calculates probabilities of transitions between states, and displaying said reconstructed respiratory signal.
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Specification