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PreFOG: Prediction of freezing of gait in people with Parkinson's Disease using machine learning methods

PreFOG: Prediction of freezing of gait in people with Parkinson's Disease using machine learning methods - PreFOG

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00035559
Enrollment
25
Registered
2025-11-19
Start date
2026-03-20
Completion date
Unknown
Last updated
2026-06-01

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

Conditions

G20

Interventions

Group 1: Carrying out data collection with people with PD and FoG. A maximum of 25 people with PD will be recruited over a period of 1 year through Parkinson self support groups in Lower Austria. Aft

Sponsors

IMC University of Applied Sciences Krems
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: - Clinical diagnosis of PD (ICD- 10: G20) - Modified Hoehn & Yahr Stage I to IV - Self-reported FOG severity of at least one FOG episode per month, irrespective of FOG occurring ON- or OFF-medication. - Shoe sizes from 36 – 47 (Due to Smart Insoles)

Exclusion criteria

Exclusion criteria: - Requires adult representation - A fall frequency of more than once a week. - Acute pain related subjective influence on walking pattern - Inability to walk 10m and 1 minute without a walking stick/rollator/walker indoors. - >135kg body weight (due to smart insoles) - Wounds or fractures on the feet (due to smart insoles) - Inability of the client to wear closed shoes in combination with the smart insoles (due to smart insoles)

Design outcomes

Primary

MeasureTime frame
The aim of this study is to investigate whether it is possible to predict Freezing of Gait by employing machine learning techniques using multimodal data composed of foot pressure and inertial sensor data.

Secondary

MeasureTime frame
How comprehensible is the German translation of the Characterizing Freezing of Gait Questionnaire (C-FoG-D)?

Countries

Austria

Contacts

Public ContactAgnes Wilhelm

IMC University of Applied Sciences Krems

agnes.wilhelm@imc.ac.at+43 2732 802194

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Jun 11, 2026