Abstract: Embodiments disclosed herein may include an adapter which is capable of converting signals from an oximeter sensor such that the signals are readable by an oximeter monitor. In an embodiment, the adapter is capable of converting signals relating to calibration information from the oximeter sensor. The calibration information may relate to wavelengths of light emitting diodes within the oximeter sensor. In a specific embodiment, the adapter will convert wavelength calibration information in a first form relating to data values stored in a digital memory chip to a second form relating to a resistance value of an expected resistor within the oximeter sensor.

Abstract: Embodiments disclosed herein may include an adapter which is capable of converting signals from an oximeter sensor such that the signals are readable by an oximeter monitor. In an embodiment, the adapter is capable of converting signals relating to calibration information from the oximeter sensor. The calibration information may relate to wavelengths of light emitting diodes within the oximeter sensor. In a specific embodiment, the adapter will convert wavelength calibration information in a first form relating to data values stored in a digital memory chip to a second form relating to a resistance value of an expected resistor within the oximeter sensor.

Abstract: Embodiments disclosed herein may include an adapter which is capable of converting signals from an oximeter sensor such that the signals are readable by an oximeter monitor. In an embodiment, the adapter is capable of converting signals relating to calibration information from the oximeter sensor. The calibration information may relate to wavelengths of light emitting diodes within the oximeter sensor. In a specific embodiment, the adapter will convert wavelength calibration information in a first form relating to data values stored in a digital memory chip to a second form relating to a resistance value of an expected resistor within the oximeter sensor.

Abstract: One embodiment is an apparatus/system for providing feedback to a procedure. The apparatus includes a real time wavefront sensor for measuring the wavefront of an optical beam, a real time video camera for capturing a scene where the optical beam comes from, a computer for processing the captured wavefront data and synchronizing the data with the video and outputting the synchronized information to a display, and a display for simultaneously displaying the synchronized wavefront and video information. Another embodiment of the present invention is a method for providing feedback to a procedure. The method involves the steps of measuring the wavefront of an optical beam with a real time wavefront sensor; capturing a video of a scene from which the optical beam comes; processing the captured wavefront data and synchronizing it with the video; and simultaneously displaying the wavefront information with the video on the same display screen.

Abstract: Embodiments disclosed herein may include an adapter which is capable of converting signals from an oximeter sensor such that the signals are readable by an oximeter monitor. In an embodiment, the adapter is capable of converting signals relating to calibration information from the oximeter sensor. The calibration information may relate to wavelengths of light emitting diodes within the oximeter sensor. In a specific embodiment, the adapter will convert wavelength calibration information in a first form relating to data values stored in a digital memory chip to a second form relating to a resistance value of an expected resistor within the oximeter sensor.

Abstract: Embodiments disclosed herein may include an adapter which is capable of converting signals from an oximeter sensor such that the signals are readable by an oximeter monitor. In an embodiment, the adapter is capable of converting signals relating to calibration information from the oximeter sensor. The calibration information may relate to wavelengths of light emitting diodes within the oximeter sensor. In a specific embodiment, the adapter will convert wavelength calibration information in a first form relating to data values stored in a digital memory chip to a second form relating to a resistance value of an expected resistor within the oximeter sensor.

Abstract: Switchover of a filtered and unfiltered pulse oximetry sensor is provided with gain controlled amplifiers controlled by separate gain control voltages that may change in opposite directions over a period of time. The outputs of the gain controlled amplifiers may be coupled to voltage-to-current converters whose outputs may be coupled in parallel. The parallel coupled outputs of the voltage-to-current converters may produce a current signal representative of the output of the gain controlled amplifier having the highest gain/signal.

Abstract: One embodiment is an apparatus/system for providing feedback to a procedure. The apparatus includes a real time wavefront sensor for measuring the wavefront of an optical beam, a real time video camera for capturing a scene where the optical beam comes from, a computer for processing the captured wavefront data and synchronizing the data with the video and outputting the synchronized information to a display, and a display for simultaneously displaying the synchronized wavefront and video information. Another embodiment of the present invention is a method for providing feedback to a procedure. The method involves the steps of measuring the wavefront of an optical beam with a real time wavefront sensor; capturing a video of a scene from which the optical beam comes; processing the captured wavefront data and synchronizing it with the video; and simultaneously displaying the wavefront information with the video on the same display screen.

Abstract: Embodiments disclosed herein may include an adapter which is capable of converting signals from an oximeter sensor such that the signals are readable by an oximeter monitor. In an embodiment, the adapter is capable of converting signals relating to calibration information from the oximeter sensor. The calibration information may relate to wavelengths of light emitting diodes within the oximeter sensor. In a specific embodiment, the adapter will convert wavelength calibration information in a first form relating to data values stored in a digital memory chip to a second form relating to a resistance value of an expected resistor within the oximeter sensor.

Abstract: Low power techniques for sensing cardiac pulses in a signal from a sensor are provided. A pulse detection block senses the sensor signal and determines its signal-to-noise ratio. After comparing the signal-to-noise ratio to a threshold, the drive current of light emitting elements in the sensor is dynamically adjusted to reduce power consumption while maintaining the signal-to-noise ratio at an adequate level. The signal component of the sensor signal can be measured by identifying systolic transitions. The systolic transitions are detected using a maximum and minimum derivative averaging scheme. The moving minimum and the moving maximum are compared to the scaled sum of the moving minimum and moving maximum to identify the systolic transitions. Once the signal component has been identified, the signal component is compared to a noise component to calculate the signal-to-noise ratio.

Abstract: Switchover of a filtered and unfiltered pulse oximetry sensor is provided with gain controlled amplifiers controlled by separate gain control voltages that may change in opposite directions over a period of time. The outputs of the gain controlled amplifiers may be coupled to voltage-to-current converters whose outputs may be coupled in parallel. The parallel coupled outputs of the voltage-to-current converters may produce a current signal representative of the output of the gain controlled amplifier having the highest gain/signal.

Abstract: Low power techniques for sensing cardiac pulses in a signal from a sensor are provided. A pulse detection block senses the sensor signal and determines its signal-to-noise ratio. After comparing the signal-to-noise ratio to a threshold, the drive current of light emitting elements in the sensor is dynamically adjusted to reduce power consumption while maintaining the signal-to-noise ratio at an adequate level. The signal component of the sensor signal can be measured by identifying systolic transitions. The systolic transitions are detected using a maximum and minimum derivative averaging scheme. The moving minimum and the moving maximum are compared to the scaled sum of the moving minimum and moving maximum to identify the systolic transitions. Once the signal component has been identified, the signal component is compared to a noise component to calculate the signal-to-noise ratio.

Abstract: Low power techniques for sensing cardiac pulses in a signal from a sensor are provided. A pulse detection block senses the sensor signal and determines its signal-to-noise ratio. After comparing the signal-to-noise ratio to a threshold, the drive current of light emitting elements in the sensor is dynamically adjusted to reduce power consumption while maintaining the signal-to-noise ratio at an adequate level. The signal component of the sensor signal can be measured by identifying systolic transitions. The systolic transitions are detected using a maximum and minimum derivative averaging scheme. The moving minimum and the moving maximum are compared to the scaled sum of the moving minimum and moving maximum to identify the systolic transitions. Once the signal component has been identified, the signal component is compared to a noise component to calculate the signal-to-noise ratio.

Abstract: Low power techniques for sensing cardiac pulses in a signal from a sensor are provided. A pulse detection block senses the sensor signal and determines its signal-to-noise ratio. After comparing the signal-to-noise ratio to a threshold, the drive current of light emitting elements in the sensor is dynamically adjusted to reduce power consumption while maintaining the signal-to-noise ratio at an adequate level. The signal component of the sensor signal can be measured by identifying systolic transitions. The systolic transitions are detected using a maximum and minimum derivative averaging scheme. The moving minimum and the moving maximum are compared to the scaled sum of the moving minimum and moving maximum to identify the systolic transitions. Once the signal component has been identified, the signal component is compared to a noise component to calculate the signal-to-noise ratio.