NCT04054856

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

57
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
3

participants targeted

Target at below P25 for not_applicable parkinson-disease

Timeline
Completed

Started Dec 2019

Longer than P75 for not_applicable parkinson-disease

Geographic Reach
1 country

1 active site

Status
terminated

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

July 2, 2019

Completed
1 month until next milestone

First Posted

Study publicly available on registry

August 13, 2019

Completed
4 months until next milestone

Study Start

First participant enrolled

December 16, 2019

Completed
2.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 20, 2022

Completed
11 months until next milestone

Study Completion

Last participant's last visit for all outcomes

March 6, 2023

Completed
Last Updated

April 3, 2023

Status Verified

March 1, 2023

Enrollment Period

2.3 years

First QC Date

July 2, 2019

Last Update Submit

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

OTHER
Device: Body Sensor Network

Healthy Subjects

OTHER
Device: Body Sensor Network

Interventions

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.

Healthy SubjectsPatients with Morbus Parkinson

Eligibility Criteria

Age60 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

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

Location

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: 17667192BACKGROUND
  • Pickering 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: 17588236BACKGROUND
  • Wood 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: 12023412BACKGROUND
  • Stolze 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: 14999493BACKGROUND
  • Koller 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: 2720700BACKGROUND
  • Gray 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: 10994536BACKGROUND
  • Bloem 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: 11757958BACKGROUND
  • Paul 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

Parkinson Disease

Condition Hierarchy (Ancestors)

Parkinsonian DisordersBasal Ganglia DiseasesBrain DiseasesCentral Nervous System DiseasesNervous System DiseasesMovement DisordersSynucleinopathiesNeurodegenerative Diseases

Study Officials

  • Kathrin Reetz, Prof. Dr.

    Departmet of Neurology, University Clinic Aachen, Germany

    PRINCIPAL INVESTIGATOR

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

Locations