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优势和特点

  • 设备配置块 (DCB)
  • VSM 套件库配置 (LCFG)
  • 低接触功能

产品详情

本用户指南介绍了使用通用串行总线 (USB) 或低功耗蓝牙 (BLE) 将 ADI Study Watch 4.5 连接到 Microsoft Windows 计算机进行数据流或记录，以及使用应用程序 Wavetool 软件分析生命体征数据的步骤。

ADI Vital Signs Monitoring Watch 4.5 是一款旨在展示 ADI 公司生物医学传感器和生命体征监测算法功能的产品。

Study Watch 4.5 是一款可穿戴的电池供电设备，可以持续监测和按需抽查测量光电容积描记法 (PPG)、心电图 (ECG，基于生物电位)、皮肤电活动 (EDA，基于生物阻抗) 以及皮肤温度和运动/活动（基于三轴加速度计）。原始传感器数据可以通过手表内嵌入的算法进行解析，以获得实时生命体征，如心率 (HR)、血氧饱和度 (SpO2) 和呼吸频率 (RR)。

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    软件

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    EVAL-STUDYWATCH45Z Python SDK
    Python SDK empowers developers to seamlessly integrate and interact with the ADI Study Watch 4.5. Whether connecting via USB or Bluetooth Low Energy (BLE), it enables robust communication with the device—allowing applications to send and receive data packets, decode sensor outputs, and access onboard algorithms and file systems. Designed to streamline development, the SDK simplifies the creation of custom health, fitness, and research applications, accelerating innovation on the Study Watch platform.
    EXE
    28.32 M
    EVAL-STUDYWATCH45Z Application Wavetool
    Application Wavetool is a robust Windows-based GUI designed to accelerate the development and testing of wearable health technologies. It offers real-time streaming, visualization, and logging of vital signs including PPG, SpO₂, heart rate, ECG, EDA, temperature, and motion. With advanced sensor configuration, seamless USB/BLE connectivity, and comprehensive support for multiple vital signs monitoring (VSM) use cases, Wavetool empowers engineers and developers to perform in-depth sensor analysis and validate algorithms with precision and efficiency.
    APK
    32.98 M
    EVAL-STUDYWATCH45Z Android Application
    The Android App is a powerful companion for the Study Watch 4.5, enabling seamless real-time health data streaming and device management via Bluetooth Low Energy (BLE). Tailored for researchers, clinicians, and health enthusiasts, the app features intuitive dashboards and interactive graphs to visualize vital signs such as PPG, ECG, EDA, heart rate, SpO₂, respiratory rate, temperature, and accelerometer data. Users can effortlessly start or stop data logging, download stored logs for offline analysis, and configure essential device settings—all from a user-friendly mobile interface.