Abstract:
A noninvasive physiological sensor can include a first body portion and a second body portion coupled to each other and configured to at least partially enclose a user's finger. The sensor can further include a first probe coupled to one or more emitters and a second probe coupled to a detector. The first probe can direct light emitted from the one or more emitters toward tissue of the user's finger and the second probe can direct light attenuated through the tissue to the detector. The first and second probes can be coupled to the first and second body portions such that when the first and second body portions are rotated with respect to one another, ends of the first and second probes can be moved in a direction towards one another to compress the tissue of the user's finger.
Abstract:
An optical physiological sensor configured to perform high speed spectral sweep analysis of sample tissue being measured to non-invasively predict an analyte level of a patient. An emitter of the optical physiological sensor can be regulated to operate at different temperatures to emit radiation at different wavelengths. Variation in emitter drive current, duty cycle, and forward voltage can also be used to cause the emitter to emit a range of wavelengths. Informative spectral data can be obtained during the sweeping of specific wavelength regions of sample tissue.
Abstract:
The present disclosure includes a handheld processing device including medical applications for minimally and noninvasive glucose measurements. In an embodiment, the device creates a patient specific calibration using a measurement protocol of minimally invasive measurements and noninvasive measurements, eventually creating a patient specific noninvasive glucometer. Additionally, embodiments of the present disclosure provide for the processing device to execute medical applications and non-medical applications.
Abstract:
Systems, methods, and apparatuses for enabling a plurality of non-invasive, physiological sensors to obtain physiological measurements from the same tissue site. Each of a plurality of sensors can be integrated with or attached to a multi-sensor apparatus. The multi-sensor apparatus can orient the plurality of non-invasive, physiological sensors such that each of the plurality of non-invasive, physiological sensors obtains physiological data from the same or a similar location.
Abstract:
The present disclosure includes a handheld processing device including medical applications for minimally and noninvasive glucose measurements. In an embodiment, the device creates a patient specific calibration using a measurement protocol of minimally invasive measurements and noninvasive measurements, eventually creating a patient specific noninvasive glucometer. Additionally, embodiments of the present disclosure provide for the processing device to execute medical applications and non-medical applications.
Abstract:
A finger-placement sensor tape aligns and removably secures a finger to a sensor pad of a reusable finger-clip optical sensor so as to assure the finger is repeatably aligned between the sensors emitters and detectors and that the finger stays aligned during a test procedure. The sensor tape has a double-sided tape layer having a silicon-based adhesive on a finger side and an acrylic adhesive on a sensor-side. An aperture is defined in the tape layer so as to allow emitters disposed in a top sensor pad to emit light through the tape layer to detectors disposed in a bottom sensor pad. A finger-side release layer is removably disposed over the silicon-based adhesive. A sensor-side release layer is removably disposed over the acrylic adhesive.
Abstract:
This disclosure describes, among other features, systems and methods for customizing calibration curves, parameter algorithms, and the like to individual users. An initial calibration curve generated based on a population can be used as a starting point in an algorithm for measuring a physiological parameter such as glucose. The measurement algorithm can determine one or more initial measurement values for a user based on the initial calibration curve. In certain embodiments, one or more alternative measurements, such as invasive or minimally invasive measurements, can periodically or sporadically be input into the measurement algorithm. The algorithm can use the alternative measurements to adapt the calibration curve to the individual. As a result, measurements for the individual can more accurately reflect the individual's actual parameter values.
Abstract:
Systems, methods, apparatuses, and medical devices for harmonizing data from a plurality of non-invasive sensors are described. A physiological parameter can be determined by harmonizing data between two or more different types of non-invasive physiological sensors interrogating the same or proximate measurement sites. Data from one or more first non-invasive sensors can be utilized to identify one or more variables that are useful in one or more calculations associated with data from one or more second non-invasive sensors. Data from one or more first non-invasive sensors can be utilized to calibrate one or more second non-invasive sensors. Non-invasive sensors can include, but are not limited to, an optical coherence tomography (OCT) sensor, a bio-impedance sensor, a tissue dielectric constant sensor, a plethysmograph sensor, or a Raman spectrometer.
Abstract:
Systems, methods, apparatuses, and medical devices for harmonizing data from a plurality of non-invasive sensors are described. A physiological parameter can be determined by harmonizing data between two or more different types of non-invasive physiological sensors interrogating the same or proximate measurement sites. Data from one or more first non-invasive sensors can be utilized to identify one or more variables that are useful in one or more calculations associated with data from one or more second non-invasive sensors. Data from one or more first non-invasive sensors can be utilized to calibrate one or more second non-invasive sensors. Non-invasive sensors can include, but are not limited to, an optical coherence tomography (OCT) sensor, a bio-impedance sensor, a tissue dielectric constant sensor, a plethysmograph sensor, or a Raman spectrometer.
Abstract:
Systems, methods, apparatuses, and medical devices for harmonizing data from a plurality of non-invasive sensors are described. A physiological parameter can be determined by harmonizing data between two or more different types of non-invasive physiological sensors interrogating the same or proximate measurement sites. Data from one or more first non-invasive sensors can be utilized to identify one or more variables that are useful in one or more calculations associated with data from one or more second non-invasive sensors. Data from one or more first non-invasive sensors can be utilized to calibrate one or more second non-invasive sensors. Non-invasive sensors can include, but are not limited to, an optical coherence tomography (OCT) sensor, a bio-impedance sensor, a tissue dielectric constant sensor, a plethysmograph sensor, or a Raman spectrometer.