Systems and methods for passive monitoring of a mobile device for identifying treatment candidates
Inventors
Assignees
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Publication Number
US-12646615-B2
Publication Date
2026-06-02
Expiration Date
Abstract
A mobile device for identifying a potential candidate includes a screen, a sensor, and a control system. The sensor configured to generate sensor data associated with use of the mobile device. The control system is configured to: extract location data from the sensor data, the location data including physical location of the mobile device at different time intervals; determine from the location data whether mobility of the mobile device is below a threshold; extract mobile device usage data from the sensor data; determine, from the mobile device usage data, a pattern of use of the mobile device to obtain a sleeping pattern of the potential candidate; and based at least in part on the mobility of the mobile device being below a threshold and the pattern of use of the mobile device, cause the screen to display an alert.
Core Innovation
The disclosed approach identifies potential candidates for a respiratory condition using mobile-device location and usage data. It determines whether device mobility is below a threshold and identifies recurring intervals of non-use across multiple days as a sleeping pattern. Additional sensor data, including ambient light, battery-drain patterns, and ambient sounds, adjusts the intervals before the system sends an alert and deletes the location data.
The partial content does not include the patent's background, abstract, or summary sections as separate text; therefore, the problem stated in the background is not explicitly described in patent. The supplied description summary states the candidate-identification function but does not specify a particular deficiency in existing respiratory-treatment identification or adherence practices.
Claims Coverage
The provided claim set contains three independent claims and is summarized below as three inventive features.
Candidate identification using mobile-device data
Claim 1 covers a method that uses location data to determine whether device mobility is below a threshold and usage data to identify recurring intervals of non-use as a sleeping pattern. Additional sensor data adjusts the intervals using ambient light, battery-drain patterns, and ambient sounds. When the mobility and timing conditions are met, the control system sends an alert and deletes the location data.
Candidate identification with a treatment-adherence criterion
Claim 5 covers a method using location and usage data, adjusted with additional sensor data, to identify low mobility and recurring intervals of non-use. The alert also depends on whether the potential candidate is likely to comply with long-term treatment of the respiratory disorder using a continuous positive airway pressure (CPAP) machine. The location data is deleted after the alert is sent.
Mobile device for identifying a potential candidate
Claim 13 covers a mobile device with a screen, sensor, memory, and control system configured to use location and usage data to identify low mobility and recurring intervals of non-use as a sleeping pattern. The control system adjusts the intervals using ambient-light, battery-drain, and ambient-sound data, sends an alert when the stated conditions are met, and deletes the location data.
The three independent claims cover two methods and a mobile device for identifying potential respiratory-condition candidates using low mobility and recurring periods of device non-use. They also cover sensor-based adjustment of those periods, alerting, and deletion of location data; one method further includes a CPAP treatment-adherence criterion.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Identifying potential candidates for a respiratory condition based on mobile-device location and usage patterns.
Sending an alert when a potential candidate is likely to comply with long-term treatment of a respiratory disorder using a CPAP machine.
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