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Novel algorithm detects early signals of Alzheimer's in motion behavior

Abnormal motion behavior and degeneration of the sleep-waking cycle are among the most severe behavioral symptoms of Alzheimer's disease. An early detection and even a prediction of these behaviors would allow a timely onset of interventions that aim to delay the manifestation or exacerbation of symptoms and reduce the need of institutionalized care.
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