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    COAPT Gen 2 Pattern Recognition

    Brand: COAPT
    COAPT Gen 2 Pattern Recognition is a sophisticated technology used in advanced myoelectric prosthetics. By analyzing muscle signals with specialized algorithms and sensors, users can control the prosthetic limb naturally and intuitively. No physical buttons needed, just thoughts, offering a seamless and immersive experience.
    Products specifications
    Type Myoelectric
    Warranty 24 Months
    Power Requirements Operates on supply voltages between 5–20 VDC & consumes approximately 50 mA at 7.4 V (370mW)
    Operating Tempature 0ºC – 35ºC
    Transport Temperature -20ºC – 45ºC
    System Requirements for Software App Operating System: Windows 10 (64-bit or 32-bit) or newer,  RAM: At least 1GB of system memory,  Storage: At least 1GB of available space,  Screen Resolution: Minimum 1280 x 960
    Physical Dimensions - Complete Controller Width: 60.3 mm (2.37 in) Length: 52.2 mm (2.05 in) Thickness: 8.0 mm (0.31 in)
    Physical Dimensions - Complete Calibrate Width: 16.9 mm (0.67 in) Length: 26.9 mm (1.06 in) Thickness: 9.6 mm (0.38 in) Depth below socket wall: 3.9 mm (0.15 in) Protrusion above socket face: 3.6 mm (0.14 in) Socket mount hole cut-out: An elongated circle 12.7mm (0.50 in) diameter, 22.7mm (0.89 in) length
    Product Files
    Document Title Description
    COAPT GEN2 Handbook Download
    COAPT Compatibility Tool Download
    ALLIED Summer 2024 Quarterly Overview - The Latest in Physical Therapies, Hand Therapy, Podiatry and Compression. ALLIED Summer 2024
    Key Features
    Adaptive Control and Learning
    Adaptive Control and Learning

    COAPT continuously learns from the user's muscle signals, adapting to changes in their physiology and muscle strength over time. This adaptive capability ensures consistent and accurate control of external devices, providing a seamless and personalized user experience.

    Precise EMG Signal Detection
    Precise EMG Signal Detection

    COAPT utilizes advanced sensors and electrodes to accurately capture electromyographic (EMG) signals from the user's residual limb or muscles. This ensures precise and reliable data acquisition, essential for accurate pattern recognition. 

    Real-Time Pattern Analysis
    Real-Time Pattern Analysis

    COAPT's sophisticated pattern recognition algorithms process the EMG signals in real-time. The system rapidly analyzes the data to identify unique patterns associated with specific movements or actions, allowing for instantaneous control response. 

    Technical Specifications
    COAPT Gen 2 Pattern Recognition
    Documents & Downloads