Accuracy of Markerless Motion Capture Evaluation in Parkinson's Disease After DBS

NCT03607721 | Completed

• 1 other identifier: DARI-DBS
• Study Type: interventional
• Target: 12
• Locations: 1 country
• Sites: 1

Brief Summary

Body motion evaluation (BME) by markerless systems is increasingly being considered as an alternative to traditional marker-based technology because they are faster, simpler, and less expensive. They are increasingly used in clinical settings in patients with movement disorders, however, the wide variety of systems available make results conflicting. The objective of this study was to determine if a markerless 3D motion capture system is a useful instrument to objectively differentiate between Parkinons's Disease (PD) patients with Deep Brain Stimulation (DBS) in On and Off state and controls; and its correlation with the evaluation by means of Unified Parkinson's Disease Rating Scale (UPDRS). Six PD patients who underwent DBS bilaterally in the subthalamic nucleus were evaluated using BME and UPDRS-III with DBS turned On and Off. BME of 16 different movements in six controls paired by age and sex was compared with PD patients with DBS in On and Off states. Kinematic data obtained with this markerless system could contribute to the discrimination between PD patients and healthy controls. This emerging technology may help to clinically evaluate PD patients more objectively.

Conditions

Parkinson Disease

Keywords

deep brain stimulation; kinematics; markerless; body motion evaluation; gait analysis

Outcome Measures

Primary Outcomes (7)

• Shoulder Flexion (right and left), Shoulder Extension (right and left), Internal Shoulder Rotation (right and left), External Shoulder Rotation (right and left), Maximum shoulder abduction (right and left)

  Measured by DARI Body Motion Analysis. Range of movement, measured in degrees.

  1 day: Test is done twice. First with DBS in Off state and then repeated 1 hour after DBS has been turned to On state.

• Bilateral squat depth, Lunge Distance (right and left), Step Length (right and left), Step Width (right and left)

  Measured by DARI Body Motion Analysis. Range of movement, measured in centimeters.

  1 day: Test is done twice. First with DBS in Off state and then repeated 1 hour after DBS has been turned to On state.

• Trunk Rotation, Trunk Flexion, Trunk Extension

  Measured by DARI Body Motion Analysis. Range of movement, measured in degrees.

  1 day: Test is done twice. First with DBS in Off state and then repeated 1 hour after DBS has been turned to On state.

• Anterior-posterior hip displacement, Medial-lateral hip displacement

  Measured by DARI Body Motion Analysis. Patients are asked to outstretch their arms to the sides, extend their neck and close their eyes during 10 seconds. The hip displacement that happens during this time is recorded and measured in centimeters.

  1 day: Test is done twice. First with DBS in Off state and then repeated 1 hour after DBS has been turned to On state.

• Cadence

  Measured by DARI Body Motion Analysis. Measured in steps/minute.

  1 day: Test is done twice. First with DBS in Off state and then repeated 1 hour after DBS has been turned to On state.

• Speed or velocity

  Measured by DARI Body Motion Analysis. Measured in meters/second.

  1 day: Test is done twice. First with DBS in Off state and then repeated 1 hour after DBS has been turned to On state.

• Stride length

  Measured by DARI Body Motion Analysis. It is the distance between any two successive points of heel contact of the same foot. Measured in centimeters.

  1 day: Test is done twice. First with DBS in Off state and then repeated 1 hour after DBS has been turned to On state.

Secondary Outcomes (14)

• Speech

  1 day: Test is done once with DBS in Off state.

• Facial Expression

  1 day: Test is done once with DBS in Off state.

• Tremor at Rest

  1 day: Test is done once with DBS in Off state.

• Action or Postural Tremor of Hands

  1 day: Test is done once with DBS in Off state.

• Rigidity

  1 day: Test is done once with DBS in Off state.

Study Arms (2)

DBS Patients Group

EXPERIMENTAL

Body Motion Evaluation DARI

Device: Body Motion Evaluation DARI

Control Group

ACTIVE COMPARATOR

Body Motion Evaluation DARI

Device: Body Motion Evaluation DARI

Interventions

Body Motion Evaluation DARI DEVICE

Dynamic Athletic Research Institute (DARI) Software to evaluate motion tridimensionally with a camera system and without the use of body sensors.

Control Group; DBS Patients Group

Eligibility Criteria

• Age: 40 Years - 80 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Patients with Diagnosis of Parkinson's Disease by United Kingdom Parkinson's Disease Society Brain Bank Clinical Diagnostic Criteria
• Submitted to subthalamic DBS implantation a minimum of 3 months prior to the evaluation.

You may not qualify if:

• Patients with physical disability (i.e. wheelchair, cane, assistance to daily living activities)
• History of stroke and physical disability
• Another neurological disorder other than PD
• Recent head and limb trauma that limits movement
• Treatment with antipsychotics or recent botulinum toxin treatment.

Sponsors & Collaborators

• Hospital Zambrano Hellion: lead

Study Sites (1)

Instituto de Neurologia y Neurocirugia Hospital Zambrano Hellion

San Pedro Garza García, Nuevo León, 66278, Mexico

Location

Related Publications (14)

• Ceseracciu E, Sawacha Z, Cobelli C. Comparison of markerless and marker-based motion capture technologies through simultaneous data collection during gait: proof of concept. PLoS One. 2014 Mar 4;9(3):e87640. doi: 10.1371/journal.pone.0087640. eCollection 2014.

  PMID: 24595273 BACKGROUND

• Rocha AP, Choupina H, Fernandes JM, Rosas MJ, Vaz R, Silva Cunha JP. Parkinson's disease assessment based on gait analysis using an innovative RGB-D camera system. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:3126-9. doi: 10.1109/EMBC.2014.6944285.

  PMID: 25570653 BACKGROUND

• Fry AC, Herda TJ, Sterczala AJ, Cooper MA, Andre MJ. Validation of a motion capture system for deriving accurate ground reaction forces without a force plate. Big Data Anal. 2016;1(1):11. doi:10.1186/s41044-016-0008-y.

  BACKGROUND

• Moodie P. Validation : Reviewing 3D Motion Capture Technology Types and What the Gold Standard Should Be for Human Movement . Lenexa, Kansas

  BACKGROUND

• Rosengarden S, Docking S, Wassom D, Moodie N. The long term repeatability of a 3D markerless motion capture system and the implications it has on healthcare. J Appl Hum Mov. 2015;1(1):21-25.

  BACKGROUND

• Wassom D, Fry A, Moodie N. Repeatability of 3D markerless motion capture and how it could affect between-session variability. J Appl Hum Mov. 2015;1(1):21-25.

  BACKGROUND

• Mündermann L, Anguelov D, Corazza S, Chaudhari AM, Andriacchi TP. Validation of a markerless motion capture system for the calculation of lower extremity kinematics.; 2005.

  BACKGROUND

• Chen SW, Lin SH, Liao LD, Lai HY, Pei YC, Kuo TS, Lin CT, Chang JY, Chen YY, Lo YC, Chen SY, Wu R, Tsang S. Quantification and recognition of parkinsonian gait from monocular video imaging using kernel-based principal component analysis. Biomed Eng Online. 2011 Nov 10;10:99. doi: 10.1186/1475-925X-10-99.

  PMID: 22074315 BACKGROUND

• Perrott MA, Pizzari T, Cook J, McClelland JA. Comparison of lower limb and trunk kinematics between markerless and marker-based motion capture systems. Gait Posture. 2017 Feb;52:57-61. doi: 10.1016/j.gaitpost.2016.10.020. Epub 2016 Oct 31.

  PMID: 27871019 BACKGROUND

• Galna B, Barry G, Jackson D, Mhiripiri D, Olivier P, Rochester L. Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson's disease. Gait Posture. 2014 Apr;39(4):1062-8. doi: 10.1016/j.gaitpost.2014.01.008. Epub 2014 Jan 22.

  PMID: 24560691 BACKGROUND

• Bovonsunthonchai S, Vachalathiti R, Pisarnpong A, Khobhun F, Hiengkaew V. Spatiotemporal gait parameters for patients with Parkinson's disease compared with normal individuals. Physiother Res Int. 2014 Sep;19(3):158-65. doi: 10.1002/pri.1579. Epub 2013 Dec 23.

  PMID: 24375990 BACKGROUND

• Ferrarin M, Rizzone M, Bergamasco B, Lanotte M, Recalcati M, Pedotti A, Lopiano L. Effects of bilateral subthalamic stimulation on gait kinematics and kinetics in Parkinson's disease. Exp Brain Res. 2005 Jan;160(4):517-27. doi: 10.1007/s00221-004-2036-5. Epub 2004 Oct 22.

  PMID: 15502989 BACKGROUND

• Dewey DC, Miocinovic S, Bernstein I, Khemani P, Dewey RB 3rd, Querry R, Chitnis S, Dewey RB Jr. Automated gait and balance parameters diagnose and correlate with severity in Parkinson disease. J Neurol Sci. 2014 Oct 15;345(1-2):131-8. doi: 10.1016/j.jns.2014.07.026. Epub 2014 Jul 19.

  PMID: 25082782 BACKGROUND

• Espy DD, Yang F, Bhatt T, Pai YC. Independent influence of gait speed and step length on stability and fall risk. Gait Posture. 2010 Jul;32(3):378-82. doi: 10.1016/j.gaitpost.2010.06.013. Epub 2010 Jul 23.

  PMID: 20655750 BACKGROUND

MeSH Terms

Conditions

Parkinson Disease

Condition Hierarchy (Ancestors)

Parkinsonian Disorders; Basal Ganglia Diseases; Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Movement Disorders; Synucleinopathies; Neurodegenerative Diseases

Study Officials

• Hector R Martinez, MD, PhD

  Hospital Zambrano Hellion

  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: PRINCIPAL INVESTIGATOR
• PI Title: Director of Instituto de Neurologia y Neurocirugia Hospital Zambrano Hellion

Model Details: Participants were divided in two groups: Parkinson's Disease patients that underwent deep brain stimulation and a control group with healthy subjects matched by age and gender.

Study Record Dates

• First Submitted: July 4, 2018
• First Posted: July 31, 2018
• Study Start: March 1, 2017
• Primary Completion: July 1, 2017
• Study Completion: July 1, 2017
• Last Updated: July 31, 2018

Record last verified: 2018-07

Data Sharing

• IPD Sharing: Will not share

Locations

ME (1)