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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.

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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

Key Features

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

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

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

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