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 relates to an interface for a noninvasive glucose sensor that comprises a front-end adapted to receive an input signals from optical detectors and provide corresponding digital signals. In one embodiment, the front-end comprises switched capacitor circuits that are capable of handling multiple streams signals from the optical detectors. In another embodiment, the front-end comprises transimpedance amplifiers that are capable of handling multiple streams of input signals. In this embodiment, the transimpedance amplifier may be configured based on its own characteristics, such as its impedance, the impedance of the photodiodes to which it is coupled, and the number of photodiodes to which it is coupled.
Abstract:
Embodiments of the disclosure include a noninvasive physiological patient sensor and a patient monitor capable of wireless communication with one another. An optical communication path can be used to provide the communication path between the noninvasive physiological patient sensor and the patient monitor. The path can be maintained by one or more light sources and detectors traditionally associated with noninvasive optical sensors or by one or more additional dedicated light sources and detectors.
Abstract:
A physiological measurement system has a sensor, a processor, a communications link and information elements. The sensor is configured to transmit light having a plurality of wavelengths into a tissue site and to generate a sensor signal responsive to the transmitted light after tissue attenuation. The attenuated light can be used by the system to determine a plurality of physiological measurements. The processor is configured to operate on the sensor signal so as to derive at least one physiological parameter after which of the plurality of physiological measurements the system is configured to or capable of measuring.
Abstract:
The present disclosure relates to a sensor having a set of photodetectors that are arranged at various locations to enable the measurement of blood glucose. The photodetectors are arranged across multiple locations. For example, the detector may comprise multiple photodetector arrays that are arranged to have a sufficient difference in mean path length to allow for noise cancellation and noise reduction. Walls may be used in the detector to separate individual photodetectors and prevent mixing of detected optical radiation between the different locations on the measurement site. A window may also be employed to facilitate the passing of optical radiation at various wavelengths for measuring glucose in the tissue.
Abstract:
A noninvasive physiological sensor for measuring one or more physiological parameters of a medical patient can include a bump interposed between a light source and a photodetector. The bump can be placed in contact with body tissue of a patient and thereby reduce a thickness of the body tissue. As a result, an optical pathlength between the light source and the photodetector can be reduced. In addition, the sensor can include a heat sink that can direct heat away from the light source. Moreover, the sensor can include shielding in the optical path between the light source and the photodetector. The shielding can reduce noise received by the photodetector.
Abstract:
The present disclosure describes example systems, methods, and computer-readable medium for dynamic meal planning. A meal planning system can include one or more processors configured to obtain exercise data, meal data, health data, user preference data, and/or other data; determine a health score based at least in part on the exercise data and/or the meal data; generate a user-specific meal kit based at least in part on the exercise data, the meal data, the health data, the user preference data, the other data and/or the health score; and communicate an indication of the user-specific meal kit.
Abstract:
The present disclosure provides an electronic device that includes at least one sensor indicative of a physiological condition of a user, the at least one sensor worn by a patient. The electronic device can further include a location determination module configured to determine a location of a patient. The electronic device can receive a measured information from the sensor and determine if the physiological condition of the user indicates an urgent medical need. When the physiological condition of the user indicates an urgent medical need, the electronic device can contact emergency services and access and contact one or more of a contact in an electronic address book associated with the processing system. The electronic device can provide a location of the user based on information determined by the location determination module.
Abstract:
A system which provides closed loop insulin administration is disclosed. The system includes redundant glucose sensors which may be interleaved in order to provide monitoring when one of the glucose sensors is in a settling period. The system may include a disease management unit which includes both a glucose sensor and an insulin pump. A closed loop disease management system which bases insulin administration on accurate glucose measurements may improve a patient's quality of life.
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.