Study Stopped
Due to COVID-19 pandemic and new regulatory requirements
Sensor-supported Classification of Gait Patterns in Everyday Movement of Patients With Parkinson's Disease
PD-GPC
1 other identifier
interventional
3
1 country
1
Brief Summary
Within this study we conduct long-term measurements on Parkinson patients using a three sensor IMU setup: one sensor is located at the wrist, one sensor at the belt/ in the pocket and one sensor is worn as a pendant. Before and after each long-term measurement phase (5 days within 6-8 weeks) we perform an UPDRS to identify changes in everyday life behaviour that correlate with UPDRS trends (especially part 3).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable parkinson-disease
Started Dec 2019
Longer than P75 for not_applicable parkinson-disease
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
First Submitted
Initial submission to the registry
July 2, 2019
CompletedFirst Posted
Study publicly available on registry
August 13, 2019
CompletedStudy Start
First participant enrolled
December 16, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 20, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
March 6, 2023
CompletedApril 3, 2023
March 1, 2023
2.3 years
July 2, 2019
March 30, 2023
Conditions
Outcome Measures
Primary Outcomes (1)
Disease Assessment with Wearable Movement Sensors
The Unified Parkinson's Disease Rating Scale (UPDRS) will be conducted in two consecutive clinical visits (6-12 weeks) or during an inpatient stay (5 days+). In between we conduct 5 days of long-term monitoring for each patient using a wearable movement sensor system. Outcome measures of the system (overall activity, stride time, stride variability, gait symmetry, symptom appearance, etc.) will be correlated with the UPDRS trend.
5 days -12 weeks
Study Arms (2)
Patients with Morbus Parkinson
OTHERHealthy Subjects
OTHERInterventions
The "Integrated Posture and Activity NEtwork by Medit Aachen (IPANEMA)" Body Sensor Network (BSN) is a wireless sensor network with several sensor nodes. A sensor node consists of a base unit equipped with different sensor modalities: Acceleration sensor, Rotation rate sensor, Air pressure sensor, Photoplethysmography (PPG, optional), Galvanic Skin Response (GSR, optional) measurement. The sensor data is transmitted via a wireless 433/868 MHz ISM band radio link to the central radio node. From there, the data is transferred via a Bluetooth connection to a laptop or PC for processing. Three sensors are attached 1) to the wrist with a flexible Velcro strap, 2) hung around the neck on a specially designed collar and 3) worn loosely in the trouser pocket without further fixation or at the belt. The respective sensors are located in a closed, ergonomically shaped housing (size 70x40x20mm\^3, approx. 35g) and have no electrically conductive contact to the skin surface of the test person.
Eligibility Criteria
You may qualify if:
- patients with Parkinson's disease
- patients undergoing outpatient or inpatient treatment at the UKA
- age of majority (age \> 60 years)
- written declaration of consent
- persons who are legally competent and mentally able to follow the instructions of the study personnel
- subjects of advanced age without neurological, psychiatric or other relevant internal diseases (age \> 60 years)
- age of majority
- written declaration of consent
- persons who are legally competent and mentally able to follow the instructions of the study staff
You may not qualify if:
- persons with currently known instabilities of the musculoskeletal system (high fall potential)
- persons with electrophobia (fear of electrical devices)
- persons wearing electrically active implants (e.g. cardiac or brain pacemakers)
- persons with neurological (except PD) or psychiatric disorders
- persons with relevant internal diseases (e.g. severe heart failure)
- persons who are accommodated in an establishment on official or judicial instruction
- persons who are dependent on or have an employment relationship with the sponsor or investigator
- simultaneous participation in another interventional clinical trial
- alcohol or drug abuse
- lack of compliance
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Department of Neurology, University Hospital Aachen
Aachen, North Rhine-Westphalia, 52074, Germany
Related Publications (8)
Dennison AC, Noorigian JV, Robinson KM, Fisman DN, Cianci HJ, Moberg P, Bunting-Perry L, Martine R, Duda J, Stern MB. Falling in Parkinson disease: identifying and prioritizing risk factors in recurrent fallers. Am J Phys Med Rehabil. 2007 Aug;86(8):621-32. doi: 10.1097/PHM.0b013e311611583.
PMID: 17667192BACKGROUNDPickering RM, Grimbergen YA, Rigney U, Ashburn A, Mazibrada G, Wood B, Gray P, Kerr G, Bloem BR. A meta-analysis of six prospective studies of falling in Parkinson's disease. Mov Disord. 2007 Oct 15;22(13):1892-900. doi: 10.1002/mds.21598.
PMID: 17588236BACKGROUNDWood BH, Bilclough JA, Bowron A, Walker RW. Incidence and prediction of falls in Parkinson's disease: a prospective multidisciplinary study. J Neurol Neurosurg Psychiatry. 2002 Jun;72(6):721-5. doi: 10.1136/jnnp.72.6.721.
PMID: 12023412BACKGROUNDStolze H, Klebe S, Zechlin C, Baecker C, Friege L, Deuschl G. Falls in frequent neurological diseases--prevalence, risk factors and aetiology. J Neurol. 2004 Jan;251(1):79-84. doi: 10.1007/s00415-004-0276-8.
PMID: 14999493BACKGROUNDKoller WC, Glatt S, Vetere-Overfield B, Hassanein R. Falls and Parkinson's disease. Clin Neuropharmacol. 1989 Apr;12(2):98-105. doi: 10.1097/00002826-198904000-00003.
PMID: 2720700BACKGROUNDGray P, Hildebrand K. Fall risk factors in Parkinson's disease. J Neurosci Nurs. 2000 Aug;32(4):222-8. doi: 10.1097/01376517-200008000-00006.
PMID: 10994536BACKGROUNDBloem BR, Grimbergen YA, Cramer M, Willemsen M, Zwinderman AH. Prospective assessment of falls in Parkinson's disease. J Neurol. 2001 Nov;248(11):950-8. doi: 10.1007/s004150170047.
PMID: 11757958BACKGROUNDPaul SS, Canning CG, Sherrington C, Lord SR, Close JC, Fung VS. Three simple clinical tests to accurately predict falls in people with Parkinson's disease. Mov Disord. 2013 May;28(5):655-62. doi: 10.1002/mds.25404. Epub 2013 Feb 28.
PMID: 23450694BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Kathrin Reetz, Prof. Dr.
Departmet of Neurology, University Clinic Aachen, Germany
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 2, 2019
First Posted
August 13, 2019
Study Start
December 16, 2019
Primary Completion
April 20, 2022
Study Completion
March 6, 2023
Last Updated
April 3, 2023
Record last verified: 2023-03
Data Sharing
- IPD Sharing
- Will not share