Device and method for stimulating at least one of a nerve and a muscle of a patient having a pathological gait
AssigneeKurage
InventorsBaptiste MOREAU, Lana POPOVIC MANESKI, Romaric NOLLOT
Life of this patent
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Abstract
A device for training a personalized model of a gait cycle configured to generate a gait phase information representative of a state of advancement of a patient in the gait cycle. A device and method for computing a start timepoint and an end timepoint and an intensity of at least one sequence of electrical pulses to apply to at least one of a nerve and a muscle of a patient using at least one pair of electrodes, based on a gait phase information representative of a state of advancement of a patient in the gait cycle obtained using a personalized model of a gait cycle obtained from the device for training.
Claims18
1-18. (canceled)
A device for training a personalized model of a gait cycle configured to generate a gait phase information representative of a state of advancement of a patient in the gait cycle, said device comprising:
- at least one input configured to receive:
- for each subject of a plurality of subjects, subject motion data and subject foot plantar pressure data acquired during a plurality of gait cycles,
- for said patient, patient motion data and patient foot plantar pressure data acquired during a plurality of gait cycles,
- said subject foot plantar pressure data and patient foot plantar pressure data being representative of a strength of a contact of at least one region of a foot with a ground, said subject foot plantar pressure data and patient foot plantar pressure data being acquired with at least one pressure sensor placed under said foot, at least one processor configured to:
- generate a generic training dataset based on said subject motion data and subject foot plantar pressure data from the plurality of subjects,
- generate a patient training dataset based on said patient motion data and patient foot plantar pressure data,
- train a generic model of a gait cycle using said generic training dataset so as to obtain a pre-trained generic model of a gait cycle, and
- retrain said pre-trained generic model of a gait cycle using said patient training dataset so as to obtain said personalized model of a gait cycle,
- at least one output configured to provide said personalized model of a gait cycle.
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Dependencies are inferred from the claim text.