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Mimicking Slipping Responses Using a Novel Mechanical Perturbation Algorithm

Mimicking Slipping Responses Using a Novel Mechanical Perturbation Algorithm

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05890755
Enrollment
43
Registered
2023-06-06
Start date
2023-06-06
Completion date
2024-12-06
Last updated
2025-08-28

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

Conditions

Gait, Perturbation, Gait, Stumbling

Brief summary

Healthy subjects will be invited to fill out a questionnaire regarding falls and balance skills followed by normal walking trials on a treadmill at 9 different speeds (0.28-1.4 m/s). Key gait parameters for the normative database will be collected. During the perturbation trials, the subjects will walk at a constant speed (1.2 m/s). The treadmill belts are ac, - or decelerated during the perturbations according to three different perturbation algorithms with varying perturbation onset. Movements will be analyzed by 3D motion capture, force plates, surface electromyography and IMU sensors. All methods are non-invasive and commonly used in the field of biomechanics.

Interventions

OTHERMechanical pertubation

Acceleration or deacceleration of one treadmill gait belt.

Sponsors

University of Zurich
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
Yes

Inclusion criteria

* Healthy subjects aged 18-40 years and 60-80 years * Ability to walk at minimum 30 minutes at a regular pace without assistance or breaks * Written informed consent as documented by signature (see informed consent form)

Exclusion criteria

* Women who are pregnant or breast feeding * Current neurological problems affecting walking function and balance * Current orthopedic problems affecting upper and lower extremity movements * History of alcohol abuse or the intake of psychotropic drugs * History of major cardiac condition (e.g., infarction, insufficiency (NYHA II-IV)) * History of major pulmonary condition (e.g., chronic obstructive pulmonary disease (GOLD II-IV)) * Current major depression or psychosis * Inability to follow the procedures of the study, e.g. due to language problems, psychological disorders, dementia * Fever of unknown origin

Design outcomes

Primary

MeasureTime frameDescription
Calculation of Margins of Stability (MoS) in anterior-posterior direction at foot contactOnce during visit 1Difference between base of support and interpolated center of mass (mm), based on 3D motion capture.
Step length at baseline, before (Pre) and after (Recovery step 1-10) perturbationOnce during visit 1

Secondary

MeasureTime frameDescription
Maximal trunk velocity during gait cycle at of baseline, before (Pre) and Recovery steps 1-10 to detect fast trunk movement to gain balanceOnce during visit 1Optical markers are placed on the upper body of the subjects and will be used for calculation (distance over time) of the trunk velocity.
3D kinematic gait profiles to analyze detailed movement patterns/strategiesOnce during visit 1The optical markers are placed according to the Plug-in gait marker set in Vicon Nexus (motion capture system). Hip, knee, ankle and trunk angles are calculated from this marker set.
EMG analysis to detect reaction time and activity patterns of different leg musclesOnce during visit 1
Questionnaire regarding the incidence of falls in the last six monthsOnce during visit 1Contains questions how often und the reason why the subject falls
Activities specific Balance Confidence scale (ABC scale)Once during visit 1Contains 16 questions rating the balance confidence between 0-100%. 100% means absolutely confident in doing some activity
Step width at foot contact of baseline, before (Pre) and Recovery steps 1-10Once during visit 1
Functional Gait Assessment (FGA) as a clinical balance testOnce during visit 1Assess the dynamic stability during different walking tasks. In total, 30 points are possible, at 22 points is the cut off score to classify the fall risk in older adults in predicting falls.
A set of kinematic parametersOnce during visit 1Measurement of hip, knee, ankle and spine angles during walking in degrees (°).
A set of kinetic parametersOnce during visit 1Ground reaction forces measured by force plates in Newton (N).
A set of spatiotemporal parametersOnce during visit 1Stance time, double stance time in seconds (s).
Questionnaire regarding the perceived intensities of the three perturbation algorithmsOnce during visit 1Judging the three pertubation algorithms according to their intensity, inconvenience and how realistic the slipping felt. Scale ranges from 0-10, whereas 10 is the most intense
Calculation of Margin of stability medial-lateral direction at foot contact of baseline, before (Pre) and Recovery steps 1-10Once during visit 1Difference between base of support and interpolated center of mass (mm), based on 3D motion capture.

Countries

Switzerland

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026