Non-invasive, Wearable Multi-parameter System for the Early Prediction of Cognitive Decline and Dementia in Older Adults
Development of an Innovative, Non-invasive, Wearable Multi-parameter System for the Early Prediction of Cognitive Decline and Dementia in Older Adults
1 other identifier
interventional
82
1 country
1
Brief Summary
This project develops an innovative screening system and prediction model to detect preclinical symptoms of cognitive impairment and predict the potential development of mild cognitive impairments and dementia in older adults. The earliest possible detection of preclinical symptoms is prerequisite to improve the efficacy of subsequent preventative non-pharmacological, life-style and exercise related, personalized treatment interventions.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Sep 2019
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 23, 2019
CompletedFirst Submitted
Initial submission to the registry
February 6, 2020
CompletedFirst Posted
Study publicly available on registry
February 10, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
July 1, 2021
CompletedFebruary 4, 2021
February 1, 2021
1.6 years
February 6, 2020
February 3, 2021
Conditions
Outcome Measures
Primary Outcomes (6)
Electroencephalography (EEG)
EEG frequency bands (Hz) will be assessed during 10 minutes at rest in a seated position (5 min eyes closed, 5 min eyes open) and will be recorded using a wearable system covering the frontal, parietal, temporal, and occipital cortex and integrating 20 gel-pad electrode channels. The assessment will be continued during the subsequent gait protocol which consists of 8 minutes of walking back and forth at preferred speed on a 20 m track.
30 minutes
Gait speed analysis with inertial sensors
The gait protocol consists of 8 minutes of walking back and forth at preferred speed on a 20 m track. Thereby, walking speed (m/s) will be assessed using inertial sensors attached to the feet.
15 minutes
Gait variability analysis with inertial sensors
The gait protocol consists of 8 minutes of walking back and forth at preferred speed on a 20 m track. Thereby, step length variability (%) and step time variability (%) will be assessed using inertial sensors attached to the feet.
15 minutes
Heart rate variability (HRV) indices SDNN and RMSSD with two-lead electrocardiogram chest belt
The HRV indices SDNN (ms) and RMSSD (ms) will be assessed during 10 minutes in a seated position, using a two-lead electrocardiogram chest belt.
10 minutes
Heart rate variability (HRV) index HF power with two-lead electrocardiogram chest belt
The HRV index HF power (ms\^2) will be assessed during 10 minutes in a seated position, using a two-lead electrocardiogram chest belt.
10 minutes
Body temperature (T) with temperature sensors (thermistors)
T will be assessed under controlled climatic conditions (22°C/40% relative humidity) measuring skin T (°C) at the scapula and the the ribs (lateral) using temperature sensors (thermistors) during 10 minutes sitting and 8 minutes walking as described above.
30 minutes
Secondary Outcomes (2)
Cognitive performance with neuropsychological tests
1 hour
Core body temperature (Tc) with telemetric gastrointestinal temperature pill
16 hours
Study Arms (2)
Cognitive-motor training
EXPERIMENTALSimultaneous cognitive-motor training (i.e. exergame) and strength training
Control
NO INTERVENTIONPassive control group
Interventions
Simultaneous cognitive-motor training and strength training
Eligibility Criteria
You may qualify if:
- participants have to be older than 65 years of age
- cognitively healthy or diagnosed with MCI
- able to walk at least 8 minutes for gait analysis, with or without walking aids
- live independently or in a retirement home (classified 0, 1, or 2 within the Swiss classification system for health-care requirements BESA-levels \[German abbreviation for: Bewohner-Einstufungs- und Abrechnungs-System; level 0 meaning the person does not need care or treatment; level 1 to 2 meaning, the person only needs little care or treatment\])
- sign informed consent
You may not qualify if:
- previously diagnosed dementia, e.g. Alzheimer's disease
- recent head injury
- judgment by the participant's primary care physician will be required in the case of acute or instable chronic diseases (e.g. stroke, diabetes) and rapidly progressing or terminal illnesses
- history of operations and/or disease related to the gastrointestinal tract within last 5 years
- implanted medical device
- planned MRI examination
- nausea, vomiting, constipation or abdominal pain within 1 months prior to the day of planned measurement
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Empa, Swiss Federal Laboratories for Materials Science and Technologylead
- Geriatrische Klinik St. Gallencollaborator
- ETH Zurichcollaborator
Study Sites (1)
Empa
Sankt Gallen, Canton of St. Gallen, 9014, Switzerland
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Patrick Eggenberger, Dr.
Empa, Swiss Federal Laboratories for Materials Science and Technology
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- SCREENING
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator, Postdoc
Study Record Dates
First Submitted
February 6, 2020
First Posted
February 10, 2020
Study Start
September 23, 2019
Primary Completion
May 1, 2021
Study Completion
July 1, 2021
Last Updated
February 4, 2021
Record last verified: 2021-02