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Data sample detection method and system for Alzheimer's disease

A technology for Alzheimer's disease and data samples, applied in the field of medical devices, can solve problems such as no explanation or report found, no data collected, etc., and achieve the effect of improving accuracy and effectiveness, low dependence, and efficient deployment

Pending Publication Date: 2022-06-28
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, there is no description or report of the similar technology of the present invention, and no similar data at home and abroad have been collected yet.

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  • Data sample detection method and system for Alzheimer's disease
  • Data sample detection method and system for Alzheimer's disease
  • Data sample detection method and system for Alzheimer's disease

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Embodiment Construction

[0059] The following is a detailed description of the embodiments of the present invention: this embodiment is implemented on the premise of the technical solution of the present invention, and provides detailed implementation methods and specific operation processes. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention, and these all belong to the protection scope of the present invention.

[0060] figure 1 It is a flowchart of a data sample detection method for Alzheimer's disease in an embodiment of the present invention.

[0061] like figure 1 As shown, the data sample detection method for Alzheimer's disease provided in this embodiment may include the following steps:

[0062] S100, based on IoT smart home devices, for passive and active multi-tasking data collection;

[0063] S200, perform voice-to-text processing on the voice data in the collected data, and authori...

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Abstract

The invention provides a data sample detection method and system for Alzheimer's disease, and the method comprises the steps: carrying out the passive and active multi-task data collection based on intelligent household equipment of the Internet of Things; performing voice-to-word processing on voice data in the collected data, and authorizing text information needing to be transmitted at each smart home node to obtain authorized text data; after the authorized text data are verified, text data features are extracted, and statement coherence analysis is carried out; summarizing and aggregating the extracted features, then classifying the features, and combining the statement coherence analysis result to obtain a final detection result of the data sample for the Alzheimer's disease. According to the method, the dependency on equipment is low, efficient deployment can be realized, and simple data collection can be carried out; a safety mechanism is provided, and the safety of the whole process is ensured; based on multi-task investigation and an effective feature extraction mechanism, high precision of data acquisition is ensured.

Description

technical field [0001] The present invention relates to the technical field of medical devices, in particular, to a data sample detection method and system for Alzheimer's disease, and simultaneously provides a corresponding device and a computer-readable storage medium. Background technique [0002] Alzheimer's disease is a progressive neurodegenerative disease with an insidious onset. Clinically, it is characterized by generalized dementia manifestations such as memory impairment, aphasia, apraxia, agnosia, impairment of visuospatial skills, executive dysfunction, and personality and behavioral changes. For the collection and detection of physiological data related to Alzheimer's disease, there is always the need for professional and expensive equipment, and it needs to be carried out continuously in the hospital. Because the sick population is mainly concentrated in the middle-aged and the elderly, it is very inconvenient for the early examination. The irreversible char...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F40/216G06F40/226G06F21/16G06K9/62G10L15/26G16H10/00
CPCG06F16/35G06F40/226G06F40/216G06F21/16G10L15/26G16H10/00G06F18/2414G06F18/2411G06F18/24147G06F18/24323
Inventor 朱浩瑾李嘉淳孟岩王韬
Owner SHANGHAI JIAO TONG UNIV