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    Convolutional neural network
    4.
    发明授权
    Convolutional neural network 有权

    公开(公告)号：US11475269B2

    公开(公告)日：2022-10-18

    申请号：US15379114

    申请日：2016-12-14

    Applicant: Analog Devices, Inc.

    Inventor： Eric G. Nestler ,  Mitra M. Osqui ,  Jeffrey G. Bernstein

    IPC: G06N3/04 ,  G06N3/063 ,  H03M1/80

    Abstract: Systems and methods of implementing a more efficient and less resource-intensive CNN are disclosed herein. In particular, applications of CNN in the analog domain using Sampled Analog Technology (SAT) methods are disclosed. Using a CNN design with SAT results in lower power usage and faster operation as compared to a CNN design with digital logic and memory. The lower power usage of a CNN design with SAT can allow for sensor devices that also detect features at very low power for isolated operation.

    On-demand heart rate estimation based on optical measurements
    5.
    发明授权
    On-demand heart rate estimation based on optical measurements 有权

    公开(公告)号：US10285651B2

    公开(公告)日：2019-05-14

    申请号：US15198438

    申请日：2016-06-30

    Applicant: ANALOG DEVICES, INC.

    Inventor： Sefa Demirtas ,  Jason D. King ,  Robert Adams ,  Tony Joseph Akl ,  Jeffrey G. Bernstein

    IPC: A61B5/00 ,  A61B5/024 ,  A61B5/11

    Abstract: Activity monitors and smart watches utilizing optical measurements are becoming widely popular, and users expect to get an increasingly accurate estimate of their heart rate (HR) from these devices. These devices are equipped with a light source and an optical sensor which enable estimation of HR using a technique called photoplethysmography (PPG). One of the main challenges of HR estimation using PPG is the coupling of motion into the optical PPG signal when the user is moving randomly or exercising. The present disclosure describes a computationally feasible and fast HR estimation algorithm to be executed at instances of little or no motion. Resulting HR readings may be useful on their own, or be provided to systems that monitor HR continuously to prevent the problem of such systems being locked on an incorrect HR for long periods of time. Implementing techniques described herein leads to more accurate HR measurements.

    TRACKING MECHANISM FOR HEART RATE MEASUREMENTS
    6.
    发明申请
    TRACKING MECHANISM FOR HEART RATE MEASUREMENTS 有权
    跟踪机制用于心率测量

    公开(公告)号：US20160317097A1

    公开(公告)日：2016-11-03

    申请号：US14972447

    申请日：2015-12-17

    Applicant: ANALOG DEVICES, INC.

    Inventor： Robert Adams ,  Sefa Demirtas ,  Jeffrey G. Bernstein

    IPC: A61B5/00 ,  A61B5/024

    CPC classification number: A61B5/721 ,  A61B5/02416 ,  A61B5/02438 ,  A61B5/11 ,  A61B5/725 ,  A61B5/7275 ,  A61B2562/0219 ,  A61B2562/0233 ,  G06F19/00

    Abstract: Heart rate monitors are plagued by noisy photoplethysmography (PPG) data, which makes it difficult for the monitors to output a consistently accurate heart rate reading. Noise is often caused by motion. Using known methods for processing accelerometer readings that measure movement to filter out some of this noise may help, but not always. The present disclosure describes an improved front-end technique (time-domain interference removal) based on using adaptive linear prediction on accelerometer data to generate filters for filtering the PPG signal prior to tracking the frequency of the heartbeat (heart rate). The present disclosure also describes an improved back-end technique based on steering the frequency of a resonant filter in order to track the heartbeat. Implementing one or both of these techniques leads to more accurate heart rate measurements.

    Abstract translation: 心率监测器受到嘈杂的光谱体积描记术（PPG）数据的困扰，这使得监测仪难以输出一致的心率读数。 噪音通常由运动引起。 使用已知的处理加速度计读数的方法来测量移动以滤除某些噪声可能有助于，但不总是。 本公开描述了基于在加速度计数据上使用自适应线性预测来生成用于在跟踪心跳频率（心率）之前对PPG信号进行滤波的滤波器的改进的前端技术（时域干扰消除）。 本公开还描述了基于转向谐振滤波器的频率以便跟踪心跳的改进的后端技术。 实施这些技术中的一种或两种导致更准确的心率测量。

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