20240021192. SYSTEM AND METHOD FOR DETECTING COGNITIVE DECLINE USING SPEECH ANALYSIS simplified abstract (Janssen Pharmaceutica NV)
Contents
SYSTEM AND METHOD FOR DETECTING COGNITIVE DECLINE USING SPEECH ANALYSIS
Organization Name
Inventor(s)
Srinivasan Vairavan of Cranbury NJ (US)
Vaibhav Narayan of Princeton NJ (US)
SYSTEM AND METHOD FOR DETECTING COGNITIVE DECLINE USING SPEECH ANALYSIS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240021192 titled 'SYSTEM AND METHOD FOR DETECTING COGNITIVE DECLINE USING SPEECH ANALYSIS
Simplified Explanation
The patent application describes a system and method for detecting cognitive decline in a subject using a classification system based on a speech sample. The classification system is trained using speech data from normal and cognitive decline patients to generate an ensemble classifier comprising multiple component classifiers and an ensemble module. Each component classifier is a machine-learning classifier that generates an output identifying a sample data as corresponding to a normal patient or a cognitive patient. The ensemble module receives the component outputs and generates an ensemble output identifying the sample data as corresponding to a normal or cognitive decline patient based on the component outputs.
- The system uses speech samples to detect cognitive decline in a subject.
- It trains a classification system using speech data from normal and cognitive decline patients.
- The classification system includes multiple component classifiers and an ensemble module.
- Each component classifier is a machine-learning classifier that identifies a sample data as corresponding to a normal or cognitive patient.
- The ensemble module combines the outputs of the component classifiers to generate an ensemble output.
- The ensemble output identifies the sample data as corresponding to a normal or cognitive decline patient.
Potential applications of this technology:
- Early detection of cognitive decline in individuals.
- Monitoring cognitive decline progression in patients.
- Assessing the effectiveness of cognitive decline treatments.
- Screening individuals for cognitive decline in healthcare settings.
Problems solved by this technology:
- Early detection of cognitive decline, allowing for timely intervention and treatment.
- Objective and accurate assessment of cognitive decline using speech samples.
- Non-invasive and cost-effective method for screening and monitoring cognitive decline.
Benefits of this technology:
- Enables early intervention and treatment for cognitive decline.
- Provides an objective and accurate assessment of cognitive decline.
- Non-invasive and convenient method for screening and monitoring cognitive decline.
- Can be integrated into existing healthcare systems for efficient and widespread use.
Original Abstract Submitted
system and method for detecting cognitive decline in a subject using a classification system for detecting cognitive decline in the subject based on a speech sample. the classification system is trained using speech data corresponding to audio recordings of speech from normal and cognitive decline patients to generate an ensemble classifier comprising a plurality of component classifiers and an ensemble module. each of the plurality of component classifiers is a machine-learning classifier configured to generate a component output identifying a sample data as corresponding to a normal patient or a cognitive patient. the machine-learning classifier is generated based on a subset of available features. the ensemble module receives component outputs from all of the component classifiers and generates an ensemble output identifying the sample data as corresponding to a normal or cognitive decline patient based on the component outputs.
