Recognizing freezing of gait and deploying vibration to mitigate symptoms
OwnerIngrid Pretzer-Aboff, Leslie Cloud +2inventors
InventorsIngrid Pretzer-Aboff, Leslie Cloud, Gang Zhou, Kenneth H. Koltermann
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OwnerIngrid Pretzer-Aboff, Leslie Cloud +2inventors
InventorsIngrid Pretzer-Aboff, Leslie Cloud, Gang Zhou, Kenneth H. Koltermann
Estimating the term…
Various embodiments of the present disclosure are directed to systems and methods of utilizing a convolutional neural network to detect freezing of gait in patients and provide vibration to return to normal motor function. A system can perform a method of training a convolutional neural network by receiving a video recording; receiving a plurality of timestamp selections indicating when the person demonstrates a freezing of gait event during the video; receiving movement data from the sensing device; extracting domain data from the movement data; providing the plurality of domain data to the convolutional neural network; and deploying the convolutional neural network on a client device. Additionally, a system can be arranged to perform a method of receiving movement data from the sensing device; determining a categorization of the movement by processing the movement data through a convolutional neural network; and directing a vibration delivery device to deliver vibration.
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Dependencies are inferred from the claim text.