Medication adherence and/or counterfeit detection wearable electronic device
Inventors
Wang, David Jonq • Ross, Mark A.
Assignees
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Abstract
A method to determine medication adherence may include detecting whether a wearable electronic device is in use. The method may include detecting one or more markers in sweat vapor of the user using a chemical marker sensor of the wearable electronic device. The method may include, in response to detecting that the system is in use, determining whether the user has taken a therapeutic agent that includes the one or more markers based on detecting the one or more markers in the sweat vapor.
Core Innovation
The invention provides a method to determine medication adherence using a wearable electronic device. The method detects whether the wearable electronic device is less than a threshold distance from skin of a user, detects one or more markers of a therapeutic agent in sweat vapor of the user using a chemical marker sensor, and detects a manifestation of an expected effect of the therapeutic agent on the user.
After performing the sweat vapor marker detection, the proximity detection to the user’s skin, and the expected-effect manifestation detection, the method calculates a confidence level indicative of whether the user has taken the therapeutic agent. The confidence level is based on detecting the one or more markers in the sweat vapor, detecting that the wearable electronic device is less than the threshold distance from the skin of the user, and detecting the manifestation of the expected effect.
Related implementations substitute different wearable sensors to detect the manifestation of the expected effect while retaining the proximity detection and sweat vapor marker detection. The described approach also includes confidence-enhancing information, including subjective input data, a self-assessment of a condition being treated, and calendar information or reminders, and marker signature schemes for identifying or authenticating a therapeutic agent and/or a therapeutic agent source.
Claims Coverage
The partial content includes six independent claims. Across these claims, the inventive structure combines proximity detection of the wearable device to skin using a threshold distance, detection of one or more therapeutic-agent markers in sweat vapor using a chemical marker sensor, and detection of an expected-effect manifestation using a specified wearable sensor, followed by calculating a confidence level indicating whether the user has taken the therapeutic agent.
Proximity, sweat vapor marker detection, and heart-rate expected-effect manifestation for confidence-level adherence
A method that detects whether a wearable electronic device is less than a threshold distance from skin of a user; detects one or more markers of a therapeutic agent in sweat vapor of the user using a chemical marker sensor; detects a manifestation of an expected effect of the therapeutic agent on the user using a heart rate monitor; and calculates a confidence level indicative of whether the user has taken the therapeutic agent based on the detections.
Proximity, sweat vapor marker detection, and movement- or motion-pattern expected-effect manifestation for confidence-level adherence
A method that detects whether a wearable electronic device is less than a threshold distance from skin of a user; detects one or more markers of a therapeutic agent in sweat vapor of the user; detects a change in a movement pattern or motion pattern of the user indicative of a manifestation of an expected effect of the therapeutic agent on the user; and calculates a confidence level indicative of whether the user has taken the therapeutic agent based on the detections.
Proximity, sweat vapor marker detection, and ECG expected-effect manifestation for confidence-level adherence
A method that detects whether a wearable electronic device is less than a threshold distance from skin of a user; detects one or more markers of a therapeutic agent in sweat vapor of the user; detects a manifestation of an expected effect of the therapeutic agent on the user using an ECG sensor; and calculates a confidence level indicative of whether the user has taken the therapeutic agent based on the detections.
Proximity, sweat vapor marker detection, and PPG expected-effect manifestation for confidence-level adherence
A method that detects whether a wearable electronic device is less than a threshold distance from skin of a user; detects one or more markers of a therapeutic agent in sweat vapor of the user; detects a manifestation of an expected effect of the therapeutic agent on the user using a PPG sensor; and calculates a confidence level indicative of whether the user has taken the therapeutic agent based on the detections.
Proximity, sweat vapor marker detection, and accelerometer expected-effect manifestation for confidence-level adherence
A method that detects whether a wearable electronic device is less than a threshold distance from skin of a user; detects one or more markers of a therapeutic agent in sweat vapor of the user; detects a manifestation of an expected effect of the therapeutic agent on the user using an accelerometer; and calculates a confidence level indicative of whether the user has taken the therapeutic agent based on the detections.
Proximity, sweat vapor marker detection, and microphone or audio expected-effect manifestation for confidence-level adherence
A method that detects whether a wearable electronic device is less than a threshold distance from skin of a user; detects one or more markers of a therapeutic agent in sweat vapor of the user; detects a manifestation of an expected effect of the therapeutic agent on the user using a microphone or audio sensor; and calculates a confidence level indicative of whether the user has taken the therapeutic agent based on the detections.
Across the independent claims, medication adherence is determined by calculating a confidence level from three evidence types: sweat vapor therapeutic-agent marker detection, wearable-to-skin proximity detection using a threshold distance, and sensor-detected manifestations of an expected effect. The claims vary by the wearable sensor used to detect the expected-effect manifestation.
Stated Advantages
Documented Applications
Not explicitly described in patent.
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