System and method for processing signals for the real-time detection of a functional cyclic activity
First Claim
1. A system for processing signals for the real-time detection of a cyclic functional activity, the processing system comprising:
- a signal acquisition means forming an instrumental network including at least two sensors;
one or more processing devices configured to;
simultaneously receive signals acquired by the signal acquisition means,record and preprocess the acquired signals during a plurality of consecutive processing cycles,identify event combinations from recordings from the acquired signals, enabling a calibration to be carried out by the one or more processing devices, the calibration being carried out by;
identifying a plurality of events in the acquired signals, each one of the events corresponding to an activation of a muscle and each acquired signal of the signal acquisition means including a plurality of identified events,defining a model of the cyclic functional activity, the model being a timing chart consisting of a time order of the plurality of identified events and mean delays between the identified events,defining a detection time window from the model of the cyclic functional activity, anddetecting events into the detection time window taking into account the model of the cyclic functional activity; and
a monitoring device configured to monitor the cyclic functional activity for a last full cycle, the monitoring device configured to;
calculate a sliding mean of the delays between the events detected into the signals acquired during a plurality of consecutive monitoring cycles, the plurality of consecutive monitoring cycles comprising the last full cycle,display the sliding mean of the delays,compare the sliding mean of the delays to the mean of the delays calculated during the calibration in order to detect an anomaly, andgenerate and transmit an alert signal when the anomaly is detected.
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Abstract
A system and method for processing signals for the real-time detection of a functional cyclic activity, include: elements for simultaneously receiving signals acquired by a sensor array having at least two sensors; elements for recording and preprocessing the acquired signals during a plurality of consecutive cycles; elements for identifying event combinations from the recordings of the acquired signals, enabling a calibration to be carried out, including: elements for identifying a plurality of events in the acquired signals, each signal including an identified event; elements for defining a model of the functional activity, consisting of a time order of the events and the mean delays between the events, and elements for defining a detection time window from the functional activity model.
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Citations
10 Claims
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1. A system for processing signals for the real-time detection of a cyclic functional activity, the processing system comprising:
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a signal acquisition means forming an instrumental network including at least two sensors; one or more processing devices configured to; simultaneously receive signals acquired by the signal acquisition means, record and preprocess the acquired signals during a plurality of consecutive processing cycles, identify event combinations from recordings from the acquired signals, enabling a calibration to be carried out by the one or more processing devices, the calibration being carried out by; identifying a plurality of events in the acquired signals, each one of the events corresponding to an activation of a muscle and each acquired signal of the signal acquisition means including a plurality of identified events, defining a model of the cyclic functional activity, the model being a timing chart consisting of a time order of the plurality of identified events and mean delays between the identified events, defining a detection time window from the model of the cyclic functional activity, and detecting events into the detection time window taking into account the model of the cyclic functional activity; and a monitoring device configured to monitor the cyclic functional activity for a last full cycle, the monitoring device configured to; calculate a sliding mean of the delays between the events detected into the signals acquired during a plurality of consecutive monitoring cycles, the plurality of consecutive monitoring cycles comprising the last full cycle, display the sliding mean of the delays, compare the sliding mean of the delays to the mean of the delays calculated during the calibration in order to detect an anomaly, and generate and transmit an alert signal when the anomaly is detected. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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Specification