This invention describes an implantable medical device designed to help patients with neurological disorders like Parkinson's disease. It uses an internal sensor to monitor the patient's body signals, predicting when they might experience a "gait freeze" event before it happens. When a freeze is predicted, the device provides a physical cue, such as a vibration, to help the patient avoid it.
Why it matters: Since 2017, machine learning for real-time physiological signal analysis has advanced, improving predictive accuracy for events like gait freeze. Miniaturization and power efficiency of implantable medical devices have also progressed.
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