20240023877. DETECTION OF COGNITIVE IMPAIRMENT simplified abstract (ACCEXIBLE IMPACTO S.L.)

DETECTION OF COGNITIVE IMPAIRMENT

Organization Name

ACCEXIBLE IMPACTO S.L.

Inventor(s)

Javier Zaldua of Bilbao (ES)

Carla Zaldua of Bilbao (ES)

[[:Category:Javier Jim�nez of Bilbao (ES)|Javier Jim�nez of Bilbao (ES)]][[Category:Javier Jim�nez of Bilbao (ES)]]

Pablo De La Guardia of Bilbao (ES)

Alberto J. Coca of Bilbao (ES)

Victor Adan of Bilbao (ES)

Carmen García Mateo of Bilbao (ES)

Laura Docio of Bilbao (ES)

Pedro Montejo of Bilbao (ES)

DETECTION OF COGNITIVE IMPAIRMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240023877 titled 'DETECTION OF COGNITIVE IMPAIRMENT

Simplified Explanation

The abstract describes a computer-implemented method for detecting cognitive impairment using audio data. Here is a simplified explanation of the patent application:

• The method starts by receiving audio data that represents recorded utterances of a patient.
• The audio data is processed using a speech-to-text engine to convert it into a text transcription of the recorded utterances.
• The text transcription is then processed to calculate a plurality of test variables associated with a neuropsychological test.
• A trained detection model is applied to the test variables to calculate an impairment probability, indicating the likelihood that the patient suffers from cognitive impairment.
• If the final impairment probability, based on the calculated impairment probability, is above a predetermined threshold, it is indicated that the patient suffers from cognitive impairment. If the final impairment probability is below the threshold, it is indicated that the patient does not suffer from cognitive impairment.

Potential applications of this technology:

• Early detection of cognitive impairment: The method can be used as a screening tool to identify individuals who may be at risk of cognitive impairment at an early stage.
• Remote monitoring of cognitive health: By analyzing audio data remotely, healthcare professionals can monitor the cognitive health of patients without the need for in-person visits.
• Support for healthcare decision-making: The method can provide additional information to healthcare professionals when making diagnoses or treatment decisions related to cognitive impairment.

Problems solved by this technology:

• Limited access to cognitive assessment: The method provides a convenient and accessible way to assess cognitive impairment using audio data, which can be collected remotely.
• Early detection challenges: Cognitive impairment can be difficult to detect in its early stages. This method offers a potential solution by analyzing speech patterns and identifying potential indicators of impairment.
• Cost and time efficiency: By automating the analysis of audio data, the method can save time and resources compared to traditional cognitive assessment methods.

Benefits of this technology:

• Early intervention: Early detection of cognitive impairment can lead to timely interventions and treatments, potentially improving patient outcomes.
• Remote monitoring: The method allows for remote monitoring of cognitive health, enabling healthcare professionals to provide timely support and interventions.
• Cost-effective: By utilizing existing audio data and automated analysis, the method can be a cost-effective solution for cognitive assessment.
• Accessibility: The method can be easily accessed by patients and healthcare professionals, increasing accessibility to cognitive assessment tools.

Original Abstract Submitted

a computer-implemented method () of detecting cognitive impairment comprising: receiving audio data () representing recorded utterances of a patient; processing the audio data using a speech-to-text engine () to produce a text transcription () of the recorded utterances; processing the text transcription to calculate () a plurality of test variables () associated with a neuropsychological test; calculating, by applying a trained detection model () on the plurality of test variables, an impairment probability () indicating a likelihood that the patient suffers from the cognitive impairment; and indicating that the patient suffers from the cognitive impairment if a final impairment probability based on the impairment probability is above a predetermined threshold, and indicating that the patient does not suffer from the cognitive impairment if the final impairment probability is below the predetermined threshold.