Skip to content

Sensor-based systems for early detection of dementia

Sensor-based systems for early detection of dementia - SENDA

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00013167
Enrollment
240
Registered
2018-04-11
Start date
2018-02-01
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

older healthy people, Mild Cognitive Impairment (MCI) F06.7

Interventions

Group 1: At the beginning of the study participants will be divided into three groups depending on their cognitive status: 1. cognitive healthy participants, 2. subjectively cognitive impaired partici

Sponsors

TU Chemnitz, Human- und Sozialwissenschaftliche Fakultät, Institut für Angewandte Bewegungswissenschaften, Professur Sportpsychologie (mit Schwerpunkt Prävention und Rehabilitation)
Lead Sponsor

Eligibility

Sex/Gender
All
Age
80 Years to No maximum

Inclusion criteria

Inclusion criteria: - Informed consent for study participation, - Basics skills in German language, - Study participant can independently or with the help of an accompanying person visit assessments, - Study participant can walk independently (a walking aid or a rolling walking is aloud)

Exclusion criteria

Exclusion criteria: - Medically prohibited to be physically active, - Diagnosed psychological disorders as major depression or neurocognitive disorders as dementia - Permanent impairments due to a stroke or a brain surgery, - Other neurological diseases as epilepsy, Parkinson, neuropathy - Severe diseases of the cardiovascular system (e.g., cardiac arrhythmia, arterial occlusive disease, heart failure) - Severe diseases of respiratory system (e.g., COPD stage 4, severe asthma) - Severe diseases of the musculoskeletal system (e.g. arthritis, orthopedic operations in the last 6 months) - Diabetes with diagnosed neuropathy - Substance abuse (delirium) - Difficulties in understanding language or speech - Participant of other clinical studies e.g. for clinical testing of new anti-dementia drugs

Design outcomes

Primary

MeasureTime frame
The primary endpoint is to identify motor, sensory, neurophysiological and cognitive parameters to predict cognitive decline or dementia in older people. All measurements will be assessed four times within three years in intervals of eight months to identify associations to cognitive changes over time. One time of measurement consists of 3 examination days. The same motor, sensory, neurophysiological, and cognitive measurements will be conducted for each time of measurement. Measurements, questionnaires: - Montreal Cognitive Assessment, - Consortium to Establish a Registry for Alzheimer`s Disease, - Questionnaire for subjective assessment of mental performance, - Digit Symbol Substitution Test, - gait analysis with OptoGait(R) under single- and dual-task conditions using 3D cameras for video recordings, - Short physical performance battery, - hand force dynamometer, - EEG measurements, - Eriksen flanker task, - fine motor measurements e.g. spontaneous finger tapping, force tracking task, foot coordination, - sensory measurements with shaker or mini-shaker, - Limits of Stability Test, balance tests on the posturomed under single-task and dual-task conditions

Secondary

MeasureTime frame
All measurements will be assessed four times within three years in intervals of eight months to identify associations to cognitive changes over time. One time of measurement consists of 3 examination days. The additional measurements will be conducted for each time of measurement. Therefor, functional, cognitive as well as mental health and lifestyle factors, that might be associated with cognitive decline, will be assessed. These include frailty, comorbidities, social support, quality of life, physical activity, depressive symptoms, and fear of falling. Questionnaires: - Big Five Inventory, - Geriatric depression scale, - Charlson Comorbidity Index, - Questionnaire for social support, - BAECKE inventory for physical activity, - PRISCUS PAQ, - NAI, - FRAIL scale, - Tilburg Frailty Indicator

Countries

Germany

Contacts

Public ContactKatrin Müller

Technische Universität Chemnitz, Fakultät für Human- und Sozialwissenschaften, Institut für Angewandte Bewegungswissenschaften, Professur Sportpsychologie (mit Schwerpunkt Prävention und Rehabilitation)

katrin.mueller@hsw.tu-chemnitz.de0049 371 531 33405

Outcome results

None listed

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