Device and system user interfaces for chronic health condition management
Inventors
Miller, David • Miller, Devin • Jones, Michael • Derrick, David
Assignees
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Publication Number
US-12023180-B1
Publication Date
2024-07-02
Expiration Date
Abstract
Systems, methods, and devices of a health device network may include: a non-invasive glucometer that non-invasively measures analyte levels; an invasive glucometer communicatively coupled directly to the non-invasive glucometer; a cloud-based server communicatively coupled to the non-invasive glucometer or the invasive glucometer; a user device communicatively coupled to the cloud-based server; and/or a user interface that displays the invasive glucose measurement, the non-invasive glucose measurement, a data batch, and/or processed data to the user. The non-invasive glucometer and/or the invasive glucometer may aggregate an invasive glucose measurement and a non-invasive glucose measurement into the data batch. A data analytics application on the cloud-based server may be configured to: integrate the invasive glucose measurement and the non-invasive glucose measurement; identify a correlation between the invasive glucose measurement and the non-invasive glucose measurement; and/or generate a predictive model based on the invasive glucose measurement and the non-invasive glucose measurement.
Core Innovation
The invention provides a wearable device configured with a band that fits on a wrist of a subject and includes a light source positioned in the band and a spectrometer positioned in the band to receive light through the wrist as the subject wears the band. The spectrometer comprises a filter, a collimator, and an optical sensor, and the collimator comprises a wall forming one or more microtubes aligned normal to a surface of the filter or a surface of the optical sensor.
A processing device activates the light source, receives electronic signals from the spectrometer over time, and transmits the electronic signals to a remote device for processing to determine glucose levels. The processing device further receives display data indicative of a coefficient of variation of the glucose levels and generates a coefficient of variation graphic for the subject, including a visual indication of two or more multiples of the coefficient of variation, a visual indication of a mid-range value of the coefficient of variation, and a visual indication of a most-recently-measured glucose level of the subject.
The wearable system uses a coefficient of variation graph that includes a time axis and an analyte axis, a first horizontal line indicating a middle of the coefficient of variation, and a curve representing past analyte levels relative to the coefficient of variation and a current analyte level relative to the coefficient of variation. The graph further includes second and third horizontal lines indicating upper and lower thresholds of the coefficient of variation, and other implementations generate a coefficient of variation graphic with indirect visual indicators including a representative “most-healthy” analyte level, a symbol indicating a quality of the current analyte level relative to the representative analyte level and the coefficient of variation, and additional visual elements indicating a quality of an individual analyte level in the range of analyte levels.
Claims Coverage
The independent claims are directed to four inventive features: a wrist-worn non-invasive analyte/glucose measurement arrangement, processing that determines glucose levels and coefficient of variation (CV), and user-facing CV graphics and CV graph displays.
Wrist-fit band spectrometer measuring glucose through the wrist using microtube-aligned collimator
A wearable device having a band configured to fit on a wrist, a light source positioned in the band to emit light into the wrist, and a spectrometer positioned in the band to receive the light through the wrist, where the spectrometer further comprises a filter, a collimator, and an optical sensor, and the collimator comprises a wall forming one or more microtubes aligned normal to a surface of the filter or a surface of the optical sensor.
Remote processing to determine glucose levels and display coefficient of variation graphic on a touchscreen
A processing device configured to activate the light source, receive over time electronic signals from the spectrometer corresponding to measurements of glucose levels, transmit the electronic signals to a remote device for processing to determine the glucose levels, receive display data indicative of a coefficient of variation of the glucose levels, and generate a coefficient of variation graphic with visual indications of two or more multiples of the coefficient of variation, a mid-range value, and a most-recently-measured glucose level, with a touchscreen interface configured to display the coefficient of variation graphic and receive inputs from the subject.
Coefficient of variation graph with time axis, middle line, and upper and lower threshold lines
A processing device receiving measurement data comprising a coefficient of variation of the analyte levels and a current analyte level of the subject and generating a coefficient of variation graph comprising a time axis aligned horizontally, an analyte axis aligned vertically, a first horizontal line indicating a middle of the coefficient of variation, a curve representing past analyte levels and the current analyte level relative to the coefficient of variation, and second and third horizontal lines indicating an upper threshold and a lower threshold of the coefficient of variation, with a user interface configured to display the variation graph to the subject.
Representative most-healthy analyte level and indirect visual indicators based on coefficient of variation quality
A processing device receiving measurement data comprising a current analyte level, a coefficient of variation of the analyte levels, and a representative analyte level representing a most-healthy analyte level relative to past analyte levels and the current analyte level; generating a coefficient of variation graphic comprising a first indirect visual indicator indicating the representative analyte level, a second indirect visual indicator indicating a range of the analyte levels and a quality of an individual analyte level in the range with the quality corresponding to the coefficient of variation, and a symbol positioned on the coefficient of variation graphic to indicate a quality of the current analyte level relative to the representative analyte level and the coefficient of variation, with a user interface configured to display the coefficient of variation graphic to the subject.
Overall, the independent claims cover a wrist-worn light-source/spectrometer arrangement using a microtube-aligned collimator, processing that uses glucose/analyte measurements over time to determine analyte/glucose levels and compute a coefficient of variation, and generating user-facing coefficient of variation graphics, including CV graphs with middle and upper/lower threshold lines and CV graphics that depict a representative “most-healthy” analyte level and a quality indication for the current analyte level.
Stated Advantages
Documented Applications
No documented applications found
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