Methodological study for the development of a software application for speech analysis in patients with Alzheimer’s disease ranging from mild cognitive impairment to moderate severity

Methodological study for the development of a software application for speech analysis in patients with Alzheimer’s disease ranging from mild cognitive impairment to moderate severity - DeSoApp-AD-study

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00018112

Enrollment

550

Registered

2019-09-24

Start date

2019-07-02

Completion date

Unknown

Last updated

2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

F00.9

Interventions

Group 1: Pre-diagnosed Patients with either mild cognitive impairment or mild to moderate Alzheimers disease are invited to their Memory Clinic to perform a set of neuropsychological tests on a single

Eligibility

Sex/Gender

All

Age

55 Years to No maximum

Inclusion criteria

Inclusion criteria: Diagnosis of Alzheimer’s disease ranging from mild cognitive impairment to moderate severity according to NIA/AA criteria (patients) or cognitive test performance in CERAD battery within normal limits (cognitively healthy controls of comparable age) 2. Age >55 years 3. Adequate vision, hearing, comprehension of German language and speech formation abilities to allow testing

Exclusion criteria

Exclusion criteria: 1. Exclusion of any other medical condition interfering with cognitive functioning, including clinical sings of depression 2. Exclusion of any medical condition which prohibits the use of a tablet-based application 3. Exclusion of any psychotropic medication that interferes with cognitive functioning/performance

Design outcomes

Primary

Measure	Time frame
1. Identification of several properties of spoken speech from a German cohort of patients with Alzheimer’s disease ranging from mild cognitive impairment to moderate severity using automated speech analysis, which allow discrimination from cognitively healthy controls of comparable age 2. Assessment of ROC characteristics of the discriminative algorithm between patients and controls. All assessments are taken at one time point.	—

Measure

Time frame

1. Identification of several properties of spoken speech from a German cohort of patients with Alzheimer’s disease ranging from mild cognitive impairment to moderate severity using automated speech analysis, which allow discrimination from cognitively healthy controls of comparable age 2. Assessment of ROC characteristics of the discriminative algorithm between patients and controls. All assessments are taken at one time point.

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Secondary

Measure	Time frame
1. Evaluation of the neuropsychological test performance features of the presented speech material for potential inclusion into a software package together with the discriminative algorithm 2. Building a digital infrastructure for the automated assessment of speech and memory for the early detection Alzheimer’s disease that follows legal and regulatory guidance 3. Adaptation of user interface or software in case of bug detection prohibiting speech sample collection collection and/or remote storage	—

Measure

Time frame

1. Evaluation of the neuropsychological test performance features of the presented speech material for potential inclusion into a software package together with the discriminative algorithm 2. Building a digital infrastructure for the automated assessment of speech and memory for the early detection Alzheimer’s disease that follows legal and regulatory guidance 3. Adaptation of user interface or software in case of bug detection prohibiting speech sample collection collection and/or remote storage

—

Countries

Germany

Contacts

Public ContactChristoph Eschenfelder

Boehringer Ingelheim Pharma GmbH & Co. KG

christoph.eschenfelder@boehringer-ingelheim.com/

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026