The Innovative Myoelectric Prosthesis

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We change disabilities into new Possibilities


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Adam’s Hand stands for “A Dialogic Adaptive Modular Sensitive Hand”

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Dialogic

Adam’s Hand wants to potentiate the user providing him info gathered from his surroundings and enhancing his connection with the environment: IoT and Home Automation are actually at the user fingertips!

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Adaptive

The sinergy between advanced mechanics and self-learning algorithm, leads the user to learn to use the device fast and easily. App/web integration for telemedicine allows for a continuous and effective user-orthopaedic interaction.

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Modular

Classic industrial processes and innovative 3D printing technologies allow for a never-seen customization of the device. Adam's Hand is also designed in a modular way in order to adapt to different amputation levels: a single device to fulfill each user needs.

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Sensitive

The sensors signals are gathered and stocked in a cloud database. Visive, audio and vibratory feedback are provided to the user: the device is no longer perceived as an unnatural mechanical appendix, but instead as an extension of the user’s own body.


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Innovation

The innovative patent pending mechanism on which Adam's Hand is based can actuate 15 degrees of freedom with just one motor, instead of the five motors conventionally used in other prosthetic devices. The torque is automatically distributed among the fingers, that adapt to the specific form of the grasped object, developing always the most stable grasp. The transmission is based on gears, stiff and compact, that exert constant forces, independent from the fingers kinematic state.

This allows to simplify the control logic and to save on prosthesis cost, weight and dimensions.


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Signal processing

Adam’s Hand recognizes user gestures and evaluates the strength required to actuate them through an algorithm that uses rectified and filtered EMG and 9-axis IMU signals gathered with Myo armband. These data are time-averaged and given as input to a single layer neural network that is initialized through a training phase performed at the system start.

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