Contactless stress monitoring using wireless signals
AssigneesMassachusetts Institute of Technology, The Board of Trustees of the University of Illinois
InventorsFadel Adib, Unsoo Ha, Seyedsohrab Madani
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Abstract
According to one aspect of the disclosure, a method for measuring stress of a subject includes: transmitting, by a sensor, a wireless signal within an environment comprising the subject: measuring reflections of the wireless signal to generate a physiological signal responsive to changes in distance between the subject and the sensor over time: processing the physiological signal to extract feature data of the subject; and providing the feature data as input to a stress classification network to determine a stress level of the subject.
Claims28
A method for measuring stress of a subject, the method comprising:
- transmitting, by a sensor, a wireless signal within an environment comprising the subject;
- measuring reflections of the wireless signal to generate a physiological signal responsive to changes in distance between the subject and the sensor over time;
- processing the physiological signal to extract feature data of the subject;
- and
- providing the feature data as input to a stress classification network to determine a stress level of the subject.
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9-10. (canceled)
A method for extracting heartbeats intervals from a noisy time-domain physiological signal, the method comprising:
- extracting a plurality of time-domain features from the physiological signal using a feature extraction network;
- generating a self-similarity matrix (SSM) by cross-correlating the plurality of time-domain features;
- processing the SSM using a heartbeat extraction network to:
- identify heartbeat patterns within the physiological signal;
- and
- extract the heartbeat intervals using the identified heartbeat patterns.
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17-18. (canceled)
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A method for measuring stress of a subject, comprising:
- receiving one or more time-domain signals responsive to the subject;
- extracting feature data from the one or more time-domain signals, the feature data including at least:
- data representing vital signs of the subject, and
- data representing body movements of the subject;
- and
- providing the feature data as input to a stress classification network to determine a stress level of the subject.
26-27. (canceled)
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31-32. (canceled)
Dependencies are inferred from the claim text.