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    Techniques for detecting heart pulses and reducing power consumption in sensors
    41.
    发明申请
    Techniques for detecting heart pulses and reducing power consumption in sensors 有权
    用于检测心脏脉搏并降低传感器功耗的技术

    公开(公告)号：US20070208240A1

    公开(公告)日：2007-09-06

    申请号：US11650861

    申请日：2007-01-08

    Applicant: Brad Nordstrom ,  William Shea ,  Ethan Petersen

    Inventor： Brad Nordstrom ,  William Shea ,  Ethan Petersen

    IPC: A61B5/00

    CPC classification number: A61B5/14551 ,  A61B5/02416 ,  A61B5/7207 ,  A61B5/7239 ,  A61B2560/0209

    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 translation: 提供了用于感测来自传感器的信号中的心脏脉冲的低功率技术。 脉冲检测块检测传感器信号并确定其信噪比。 在将信噪比与阈值进行比较之后，动态地调节传感器中的发光元件的驱动电流以降低功耗，同时将信噪比保持在适当的水平。 可以通过识别收缩转变来测量传感器信号的信号分量。 使用最大和最小导数平均方案检测心脏收缩转变。 将移动最小值和移动最大值与移动最小值和移动最大值的缩放和进行比较，以识别收缩转换。 一旦识别出信号分量，就将信号分量与噪声分量进行比较，以计算信噪比。

    Techniques for detecting heart pulses and reducing power consumption in sensors
    42.
    发明授权
    Techniques for detecting heart pulses and reducing power consumption in sensors 有权

    公开(公告)号：US07162288B2

    公开(公告)日：2007-01-09

    申请号：US10787851

    申请日：2004-02-25

    Applicant: Brad Nordstrom ,  William Shea ,  Ethan Petersen

    Inventor： Brad Nordstrom ,  William Shea ,  Ethan Petersen

    IPC: A61B5/00

    CPC classification number: A61B5/14551 ,  A61B5/02416 ,  A61B5/7207 ,  A61B5/7239 ,  A61B2560/0209

    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.

    Oximeter red and IR zero calibration control
    45.
    发明申请
    Oximeter red and IR zero calibration control 有权
    血红蛋白红和红外零点校准控制

    公开(公告)号：US20050187449A1

    公开(公告)日：2005-08-25

    申请号：US10788239

    申请日：2004-02-25

    Applicant: Bradford Chew ,  Ethan Petersen ,  William Shea

    Inventor： Bradford Chew ,  Ethan Petersen ,  William Shea

    IPC: A61B5/00

    CPC classification number: A61B5/1495 ,  A61B5/14551

    Abstract: A pulse oximeter with drive lines for driving red and IR LEDs, and a drive circuit for driving those drive lines. A processor controls the drive circuit using a red zero output line and an IR zero output line directly connected between the processor and the drive circuit. This allows a control signal to directly control the turning off of either the red or IR drive transistors to prevent forward current flow through the red and IR LEDs by overriding the ongoing programmable logic state machine control of the drive transistors. The effects of crosstalk and capacitive coupling are reduced as a result.

    Abstract translation: 具有用于驱动红色和红外LED的驱动线的脉冲血氧计，以及用于驱动这些驱动线的驱动电路。 处理器使用红色零输出线和直接连接在处理器和驱动电路之间的IR零输出线来控制驱动电路。 这允许控制信号直接控制红色或红外驱动晶体管的关断，以通过覆盖驱动晶体管的正在进行的可编程逻辑状态机控制来防止正向电流流过红色和红外LED。 结果，串扰和电容耦合的影响减小。

    Techniques for detecting heart pulses and reducing power consumption in sensors
    46.
    发明申请
    Techniques for detecting heart pulses and reducing power consumption in sensors 有权
    用于检测心脏脉搏并降低传感器功耗的技术

    公开(公告)号：US20050187446A1

    公开(公告)日：2005-08-25

    申请号：US10787851

    申请日：2004-02-25

    Applicant: Brad Nordstrom ,  William Shea ,  Ethan Petersen

    Inventor： Brad Nordstrom ,  William Shea ,  Ethan Petersen

    IPC: A61B5/00 ,  A61B5/024

    CPC classification number: A61B5/14551 ,  A61B5/02416 ,  A61B5/7207 ,  A61B5/7239 ,  A61B2560/0209

    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 translation: 提供了用于感测来自传感器的信号中的心脏脉冲的低功率技术。 脉冲检测块检测传感器信号并确定其信噪比。 在将信噪比与阈值进行比较之后，动态地调节传感器中的发光元件的驱动电流以降低功耗，同时将信噪比保持在适当的水平。 可以通过识别收缩转变来测量传感器信号的信号分量。 使用最大和最小导数平均方案检测心脏收缩转变。 将移动最小值和移动最大值与移动最小值和移动最大值的缩放和进行比较，以识别收缩转换。 一旦识别出信号分量，就将信号分量与噪声分量进行比较，以计算信噪比。

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