Abstract: Systems and methods for monitoring physiological parameters such as intracranial pressure (“ICP”), intracranial temperature, and subject head position are provided. In some embodiments, an implantable apparatus for measuring ICP can be implanted into a subject skull. The apparatus can comprise an implant body having a hermetically sealed chamber housing a gas at a reference pressure, and a pressure conduction catheter having a proximal end and a distal end, wherein the distal end is configured to extend into the brain through a burr hole in the skull and includes a plurality of ports. A barrier can cover the ports of the distal end of the pressure conduction catheter, wherein the barrier and pressure conduction catheter are filled with a number of gas molecules so that the barrier is not in tension in a predefined range of ICPs. The ports may also be configured such that a barrier is not necessary.

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: 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: Some embodiments disclosed herein pertain to indicator compounds used to detect the presence of and/or an amount of an analyte. In some embodiments, the indicator compounds are fusion proteins. In some embodiments, when the analyte binds to the indicator compound, the indicator compound undergoes a conformational change. In some embodiments, the conformational change results in a luminescent signal that allows quantification of the amount of analyte present.

Abstract: Systems, methods, and apparatuses for enabling a plurality of non-invasive, physiological sensors to obtain physiological measurements from essentially the same, overlapping, or proximate regions of tissue of a patient are disclosed. Each of a plurality of sensors can be integrated with or attached to a multi-sensor apparatus and can be oriented such that each sensor is directed towards, or can obtain a measurement from, the same or a similar location.

Abstract: Systems and methods for a comprehensive and personalized approach to health and lifestyle coaching are described. The system may determine health metrics of a user based on detected physiological parameters. The health metrics may be used to determine health recommendations and transmit feedback to the user based on user compliance with the recommendations.

Abstract: A circuit comprising a microelectromechanical (MEMS) gyroscope and a gain circuit coupled with the MEMS gyroscope. The gain circuit is configured to receive a digitized drive signal based at least in part on a digitized drive voltage amplitude of the MEMS gyroscope. The gain circuit is also configured to determine a percentage change in quality factor of the MEMS gyroscope based at least in part on the digitized drive signal and a stored trim value of the MEMS gyroscope. The gain circuit is also configured to compensate for an effect of a change in the quality factor of the MEMS gyroscope based at least in part on the percentage change in quality factor.

Abstract: An internal route usage information from a set of internal route usage information is analyzed to determine an encoding structure used in the internal route usage information and an external route that is referenced in internal route usage information. Using the set of internal route usage information, a subset of external route change information is selected from a set of external route change information, where each changed external route represented in the subset is usable to reach a currently used destination on an external network. A first external route change information from the subset is encoded according to the encoding structure, forming a first encoded route change data. Using the first encoded route change data, an internal router in an internal network is caused to recognize a status change in a first external route.

Abstract: An intracranial pressure monitoring device includes a housing defining a first internal chamber, a plurality of strain gauges disposed on an inner surface of a diaphragm defined by a wall of the first internal chamber, a device for generating orientation signals, and circuitry coupled to the plurality of strain gauges and to the device. The circuitry is configured to generate intracranial pressure data from signals received from the plurality of strain gauges, generate orientation data based on the orientation signals received from the device, and store the intracranial pressure data and the orientation data in a computer readable storage such that the intracranial pressure data and orientation data are associated with each other.

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: 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: An intracranial pressure monitoring device includes a housing defining a first internal chamber, a plurality of strain gauges disposed on an inner surface of a diaphragm defined by a wall of the first internal chamber, a device for generating orientation signals, and circuitry coupled to the plurality of strain gauges and to the device. The circuitry is configured to generate intracranial pressure data from signals received from the plurality of strain gauges, generate orientation data based on the orientation signals received from the device, and store the intracranial pressure data and the orientation data in a computer readable storage such that the intracranial pressure data and orientation data are associated with each other.

Abstract: The present disclosure describes example systems, methods, apparatuses, and medical devices for obtaining physiological parameter data from a wearable patient monitoring device. An example patient monitoring device can include an emitter and a detector. The emitter can emit light through tissue of a patient. The detector can sense the light after it passes through and is attenuated by the tissue and can generate a signal indicative of the sensed light. When the patient monitoring device is attached to or worn by the patient, the emitter and detector are aligned such that the light from the emitter travels through an opening between a first bone and a second bone of the patient prior to being sensed by the detector.

Abstract: A circuit comprising a microelectromechanical (MEMS) gyroscope and a gain circuit coupled with the MEMS gyroscope. The gain circuit is configured to receive a digitized drive signal based at least in part on a digitized drive voltage amplitude of the MEMS gyroscope. The gain circuit is also configured to determine a percentage change in quality factor of the MEMS gyroscope based at least in part on the digitized drive signal and a stored trim value of the MEMS gyroscope. The gain circuit is also configured to compensate for an effect of a change in the quality factor of the MEMS gyroscope based at least in part on the percentage change in quality factor.

Abstract: A circuit comprising a microelectromechanical (MEMS) gyroscope and a gain circuit coupled with the MEMS gyroscope. The gain circuit is configured to receive a digitized drive signal based at least in part on a digitized drive voltage amplitude of the MEMS gyroscope. The gain circuit is also configured to determine a percentage change in quality factor of the MEMS gyroscope based at least in part on the digitized drive signal and a stored trim value of the MEMS gyroscope. The gain circuit is also configured to compensate for an effect of a change in the quality factor of the MEMS gyroscope based at least in part on the percentage change in quality factor.

Abstract: An internal route usage information from a set of internal route usage information is analyzed to determine an encoding structure used in the internal route usage information and an external route that is referenced in internal route usage information. Using the set of internal route usage information, a subset of external route change information is selected from a set of external route change information, where each changed external route represented in the subset is usable to reach a currently used destination on an external network. A first external route change information from the subset is encoded according to the encoding structure, forming a first encoded route change data. Using the first encoded route change data, an internal router in an internal network is caused to recognize a status change in a first external route.

Abstract: A MEMS sensor has a proof mass, a sense electrode, and a shield. At least a portion of the proof mass and shield may form a capacitor that causes an offset movement of the proof mass. A series of test values may be provided in order to minimize the offset movement or compensate for the offset movement. In some embodiments, the shield voltage may be modified to reduce the offset movement. Residual offsets due to other factors may also be determined and utilized for compensation to reduce an offset error in a sensed signal.

Abstract: Preparing a plurality of computer nodes to boot in a multidimensional fabric network is provided. The method includes a fabric processor (FP) generating a plurality of DHCP discovery packets using a baseboard management controller (BMC) MAC address, and placing them into the multi-host switch. A dedicated connection directly connects the BMC and the FP. All ports of the multi-host switch broadcast DHCP discovery packets into the fabric network. The BMC, FP, and switch are all within the node. A designated exit node inside the fabric connects to a provisioning node not part of the fabric. The exit node relays DHCP traffic from the fabric. A location-based IP address uniquely identifies the nodes' physical location in the fabric. The IP address is calculated based on inventory records describing physical location information about the nodes. The FP calculates a host MAC address using its IP address and configures it onto the switch.

Abstract: Preparing a plurality of computer nodes to boot in a multidimensional fabric network is provided. The method includes a fabric processor (FP) generating a plurality of DHCP discovery packets using a baseboard management controller (BMC) MAC address, and placing them into the multi-host switch. A dedicated connection directly connects the BMC and the FP. All ports of the multi-host switch broadcast DHCP discovery packets into the fabric network. The BMC, FP, and switch are all within the node. A designated exit node inside the fabric connects to a provisioning node not part of the fabric. The exit node relays DHCP traffic from the fabric. A location-based IP address uniquely identifies the nodes' physical location in the fabric. The IP address is calculated based on inventory records describing physical location information about the nodes. The FP calculates a host MAC address using its IP address and configures it onto the switch.