Embodiments of the present invention include systems and methods that relate to pulse oximetry. Specifically, one embodiment includes an oximeter sensor comprising a light emitting element configured to emit light, a light detector configured to detect the light, and a memory chip having a built-in trimmed resistor, the trimmed resistor having a resistance value that is detectable by a monitor.

A physiological monitor is provided for determining a physiological parameter of a medical patient with a multi-stage sensor assembly. The monitor includes a signal processor configured to receive a signal indicative of a physiological parameter of a medical patient from a multi-stage sensor assembly. The multi-stage sensor assembly is configured to be attached to the physiological monitor and the medical patient. The monitor of certain embodiments also includes an information element query module configured to obtain calibration information from an information element provided in a plurality of stages of the multi-stage sensor assembly. In some embodiments, the signal processor is configured to determine the physiological parameter of the medical patient based upon said signal and said calibration information.

Embodiments of the present disclosure are configured to assess the severity of a blockage in a vessel and, in particular, a stenosis in a blood vessel. In some particular embodiments, the devices, systems, and methods of the present disclosure are configured to provide FFR measurements in a small, compact device that integrates with existing proximal and distal pressure measurement systems and does not require a separate power source.

A blood pressure measurement system comprises: a pressure sensor guide wire comprising a pressure sensor located in a distal region of the pressure sensor guide wire; a transceiver unit communicatively coupled to the pressure sensor guide wire, the transceiver unit comprising: a housing adapted to be used external to the human body, a sensor signal adapting circuitry configured to process a signal representing a pressure reading sensed by the pressure sensor to create a processed pressure reading, and a first Bluetooth transceiver configured to wirelessly transmit a signal representing the processed pressure reading; and a second Bluetooth transceiver configured to wirelessly receive the signal representing the processed pressure reading transmitted from the first Bluetooth transceiver, wherein the second Bluetooth transceiver is connected with a personal computer that is configured to display a value representing the processed pressure reading.

A physiological monitor is provided for determining a physiological parameter of a medical patient with a multi-stage sensor assembly. The monitor includes a signal processor configured to receive a signal indicative of a physiological parameter of a medical patient from a multi-stage sensor assembly. The multi-stage sensor assembly is configured to be attached to the physiological monitor and the medical patient. The monitor of certain embodiments also includes an information element query module configured to obtain calibration information from an information element provided in a plurality of stages of the multi-stage sensor assembly. In some embodiments, the signal processor is configured to determine the physiological parameter of the medical patient based upon said signal and said calibration information.

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

A diagnostic sensor device has a semiconductor chip having a distal end physically configured to fit into a power and data socket conforming to a non-proprietary standard, and having exposed pads for engagement with corresponding conductors of such a socket. At its proximal end the chip has at least one sensor for contact with an analyte. The device may be manufactured in a single integrated process to provide a wafer which is diced to provide the individual devices.

A relationship relating a load of exercise and a user's aerobic capacity may be determined as follows. A processor circuit of a device may retrieve, from a memory, a prior probability distribution of the load of exercise and a prior probability distribution of the user's aerobic capacity. The processor circuit may compute a joint prior probability of the load of exercise and the user's aerobic capacity. The processor circuit may compute a joint likelihood of the load of exercise and the user's aerobic capacity based on data indicative of a measured time-stamped work rate and a measured time-stamped heart rate. The processor circuit may combine the joint prior probability and the joint likelihood to produce a joint posterior probability. The processor circuit may use the joint posterior probability to determine a relationship relating the load of exercise and the user's aerobic capacity and output a calorie calculation.

Embodiments described herein relate to an implantable device that include an inductor coil, a storage capacitor, active circuitry, and a sensor, but doesn't include an electrochemical cell, and methods for use therewith. During first periods of time, the storage capacitor accumulates and stores energy received via the inductor coil from a non-implanted device. During second periods of time, interleaved with the first periods of time, and during which energy is not received from the non-implanted device, the active circuitry of the implantable device is powered by the energy stored on the storage capacitor and is used to perform at least one of a plurality of predetermined operations of the implantable device, including, e.g., obtaining a sensor measurement from the sensor of the implantable device, transmitting a communication signal including a sensor measurement to the non-implanted device, and/or receiving a communication signal from the non-implanted device.

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.