Ambulatory monitoring of postural instability and gait disorder in Parkinson's Disease.

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON23798

Enrollment

Registered

2009-10-17

Start date

2009-12-01

Completion date

Unknown

Last updated

2024-02-28

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

Conditions

Ambulatory moniotring Parkinson's Disease Kinematics PIGD

Interventions

None listed

Eligibility

Inclusion criteria

Inclusion criteria: Parkinson patients, which are confirmed idiopathic PD diagnosis according to the UK Parkinson’s disease society criteria, in stages 1 to 4 in Hoehn and Yahr scale are recruited for the study. The patients must be able to walk independently without walking aids. The age-matched controle group will be able to walk without any visible gait problems.

Exclusion criteria

Exclusion criteria: 1. Impairments or diseases other than PD that affect gait or balance (e.g. orthopedic, neurological other than PD); 2. Inability to walk multiple short distances, together totaling approximately half an hour; 3. Dependent on walking aids; 4. Severe dyskinesia; 5. Uncorrected visual disturbance.

Design outcomes

Primary

Measure	Time frame
The subjects walk in a defined environment with six sensors and all activities will be filmed in order to correlate postural disability and gait disorders with the signals registrated by the sensors. The characteristics in gait are to be detected that cause PIGD and the corresponding signal. From this data several features are extracted that would be able to detect and classify PIGD. Furthermore, with the appointed features an optimal and minimal sensor configuration (amount and position of sensors) will be determined in which these features are still effective in detection and classification.	—

Measure

Time frame

The subjects walk in a defined environment with six sensors and all activities will be filmed in order to correlate postural disability and gait disorders with the signals registrated by the sensors. The characteristics in gait are to be detected that cause PIGD and the corresponding signal. From this data several features are extracted that would be able to detect and classify PIGD. Furthermore, with the appointed features an optimal and minimal sensor configuration (amount and position of sensors) will be determined in which these features are still effective in detection and classification.

—

Secondary

Measure	Time frame
During the measurements also clinical tests are conducted (UPDRS 10 meter timed walking test + Timed-Up-and-Go), which give a clinical assessment of the stadium of the disease. The features that are derived from the sensors are correlated with the clinical scales.	—

Contacts

Public ContactJ.P.P. Vugt, van

Postbus 50000

j.vanvugt@mst.nl+31 (0)53-487 2841

Outcome results