CuePD: Investigating the Effect of Personalised Auditory Cueing on Gait in Parkinson's Disease
CuePD
3 other identifiers
interventional
60
1 country
2
Brief Summary
Parkinson's Disease (PD) is a major cause of disability, globally. PD affects a person's movement speed, fluency, quality, and ease of walking. PD has the fastest-growing incidence rate, with its prevalence expected to double over the next three decades, currently affecting 10 million people worldwide. PD often leads to disturbances in walking/gait characteristics such as abnormal/variable stride lengths and step times. Those disturbances increase the risk of falls, with about 39% of people with PD (PwPD) experiencing an average of 20.8 falls/year. Research has examined cueing by leveraging auditory, visual, and tactile cues to normalize variable gait characteristics and improve mobility to reduce falls. Auditory cueing is the most effective at improving gait and most practical to apply in all settings (via headphones) but one size does not fit all when using auditory cueing paradigms i.e., there is a need for personalised approaches to ensure cueing interventions are tailored to the individual and their specific functional limitations. Furthermore, the long-term effectiveness of auditory mechanisms (e.g., metronome-based repetitive beep) suffer from their lack of continuous engagement. This research project aims to examine personalised auditory cueing to improve gait in PwPD. Inertial sensors will capture and analyze validated gait-related characteristics and personalised auditory cues will be examined for their ability to correct variable gait. To reduce burden on PwPD (i.e., minimal number of wearable sensors) and to streamline data capture and deliver auditory cues, a single smartphone will be used only. The project involves a multidisciplinary study between Computing and Exercise and Rehabilitation at Northumbria University, testing cueing modalities in a controlled laboratory environment under trained researcher supervision. The study will enrol PwPD, focusing on the ability of personalised auditory cueing to improve gait and PwPD preference of auditory cues.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable
Started Nov 2024
2 active sites
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
Study Start
First participant enrolled
November 21, 2024
CompletedFirst Submitted
Initial submission to the registry
March 31, 2025
CompletedFirst Posted
Study publicly available on registry
April 24, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 19, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
March 19, 2026
CompletedApril 29, 2026
March 1, 2025
1.3 years
March 31, 2025
April 28, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Gait speed (m/s)
Average speed of walking in metres per second (m/s) during a 1 minute walk. Measured by the smartphone/IMU via gait-based algorithms located on the lower back.
1 hour
Step length (m)
Distance between consecutive steps measured in metres (m). Measured by the smartphone/IMU via gait-based algorithms located on the lower back.
1 hour
Step time variability
Coefficient of variation of step time (between consecutive steps). Derrived from the smartphone/IMU via gait-based algorithms located on the lower back. This outcome will determine variability between steps as a proxy for gait stability.
1 hour
Cadence (steps/minute)
Calculated as number of steps achieved in one minute (i.e., steps/minute). Derrived from the smartphone/IMU via gait-based algorithms located on the lower back to quantify steps during the 1-min walk.
1 hour
Secondary Outcomes (8)
Montreal Cognitive Assessment (MoCA)
15 mins
MDS-Unified Parkinson's Disease Rating Scale (MDS-UPDRS)
40 mins
Physical Activity Questionnaire Short Form (IPAQ-SF)
5 mins
Physical activity
5 minutes
Falls history
5 mins
- +3 more secondary outcomes
Study Arms (1)
Cueing
EXPERIMENTALInterventions
Inertial sensors (via a smartphone worn on the lower back) will capture and analyze validated gait-related characteristics (via a gold-standard inertial system worn on both feet). Personalised auditory cues (via smartphone) will be examined for their ability to correct variable gait. To reduce burden on participants (i.e., minimal number of wearable sensors) and to streamline data capture and deliver auditory cues, a single smartphone and a gold standard reference (2 inertial wearables on each foot) will only be used. All devices attached over clothes via belt attachments.
Eligibility Criteria
You may qualify if:
- Able to walk unaided.
- Diagnosis of idiopathic PD, as defined by the UK Brain Bank criteria.
- Score ≥21/30 on Montreal Cognitive Assessment (MoCA) which is used to classify non-demented PD (PD dementia is \<21/30).
You may not qualify if:
- Non-English speakers
- History of stroke, traumatic brain injury or other neurological disorders (other than PD)
- Acute lower back or lower extremity pain, peripheral neuropathy, and musculoskeletal disorders that would affect tasks.
- Unstable medical condition including cardio-vascular instability in the past 6 months
- Unable to comply with the testing protocol or currently participating in another interfering research project
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Northumbria Universitylead
- North Tyneside General Hospitalcollaborator
- Northumbria Healthcare NHS Foundation Trustcollaborator
Study Sites (2)
Northumbria University
Newcastle, United Kingdom
North Tyneside General Hospital
North Shields, United Kingdom
Related Publications (14)
Brooke J. SUS: a retrospective. Journal of usability studies. 2013;8: 29-40. https://dl.acm.org/doi/10.5555/2817912.2817913
BACKGROUNDYardley L, Beyer N, Hauer K, Kempen G, Piot-Ziegler C, Todd C. Development and initial validation of the Falls Efficacy Scale-International (FES-I). Age Ageing. 2005 Nov;34(6):614-9. doi: 10.1093/ageing/afi196.
PMID: 16267188BACKGROUNDVoorrips LE, Ravelli AC, Dongelmans PC, Deurenberg P, Van Staveren WA. A physical activity questionnaire for the elderly. Med Sci Sports Exerc. 1991 Aug;23(8):974-9.
PMID: 1956274BACKGROUNDTolosa E, Garrido A, Scholz SW, Poewe W. Challenges in the diagnosis of Parkinson's disease. Lancet Neurol. 2021 May;20(5):385-397. doi: 10.1016/S1474-4422(21)00030-2.
PMID: 33894193BACKGROUNDSweeney D, Quinlan LR, Browne P, Richardson M, Meskell P, OLaighin G. A Technological Review of Wearable Cueing Devices Addressing Freezing of Gait in Parkinson's Disease. Sensors (Basel). 2019 Mar 13;19(6):1277. doi: 10.3390/s19061277.
PMID: 30871253BACKGROUNDRose D, Ott L, Guerin SMR, Annett LE, Lovatt P, Delevoye-Turrell YN. A general procedure to measure the pacing of body movements timed to music and metronome in younger and older adults. Sci Rep. 2021 Feb 5;11(1):3264. doi: 10.1038/s41598-021-82283-4.
PMID: 33547366BACKGROUNDNasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005 Apr;53(4):695-9. doi: 10.1111/j.1532-5415.2005.53221.x.
PMID: 15817019BACKGROUNDMullensiefen D, Gingras B, Musil J, Stewart L. The musicality of non-musicians: an index for assessing musical sophistication in the general population. PLoS One. 2014 Feb 26;9(2):e89642. doi: 10.1371/journal.pone.0089642. eCollection 2014.
PMID: 24586929BACKGROUNDMovement Disorder Society Task Force on Rating Scales for Parkinson's Disease. The Unified Parkinson's Disease Rating Scale (UPDRS): status and recommendations. Mov Disord. 2003 Jul;18(7):738-50. doi: 10.1002/mds.10473.
PMID: 12815652BACKGROUNDFiorente N, Calabro RS. Music in Parkinson's Disease Rehabilitation: Are We Heading in the Right Direction? Innov Clin Neurosci. 2023 Spring;20(4-6):11-13.
PMID: 37387705BACKGROUNDDotov DG, Cochen de Cock V, Geny C, Ihalainen P, Moens B, Leman M, Bardy B, Dalla Bella S. The role of interaction and predictability in the spontaneous entrainment of movement. J Exp Psychol Gen. 2019 Jun;148(6):1041-1057. doi: 10.1037/xge0000609.
PMID: 31180717BACKGROUNDGBD 2016 Parkinson's Disease Collaborators. Global, regional, and national burden of Parkinson's disease, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2018 Nov;17(11):939-953. doi: 10.1016/S1474-4422(18)30295-3. Epub 2018 Oct 1.
PMID: 30287051BACKGROUNDAllen NE, Schwarzel AK, Canning CG. Recurrent falls in Parkinson's disease: a systematic review. Parkinsons Dis. 2013;2013:906274. doi: 10.1155/2013/906274. Epub 2013 Mar 5.
PMID: 23533953BACKGROUNDWall C, McMeekin P, Hetherington V, Morris R, Vitorio R, Walker R, Godfrey A. Retraining gait in Parkinson's Disease via a personalised app: A study protocol. PLoS One. 2026 Apr 15;21(4):e0346508. doi: 10.1371/journal.pone.0346508. eCollection 2026.
PMID: 41984908DERIVED
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 31, 2025
First Posted
April 24, 2025
Study Start
November 21, 2024
Primary Completion
March 19, 2026
Study Completion
March 19, 2026
Last Updated
April 29, 2026
Record last verified: 2025-03