CuePD: Investigating the Effect of Personalised Auditory Cueing on Gait in Parkinson's Disease
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 60
- 试验地点
- 2
- 主要终点
- Gait speed (m/s)
研究概览
简要总结
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.
详细描述
A researcher will contact identified participants to explain the study further and provide the approved patient information sheet (PIS, via post or email - subject to the potential participant's preference). If after reading the information the potential participant is agreeable, arrangements will be made to book a suitable date and time to visit the Clinical Gait Laboratory, Coach Lane Campus, Northumbria University. Arrangements will be made to ensure the participant has clarity on how s/he can attend the Lab e.g., mode of transport and accessibility.
Upon attending the gait lab informed written consent procedures will be undertaken, then participants (n=60) will be required to answer some demographic questions, such as education level, falls history and activity level. They they will complete pen and paper based clinical assessments such as the Unified Parkinson's Disease Rating scale (UPDRS), Montreal Cognitive Assessment (MoCA), Falls Efficacy Scale-International (FES-I), Falls History Questionnaire, International Physical Activity Questionnaire and Physical Activity questionnaire for Elderly.
Upon completion of the above pen-and-paper tasks, all participants will engage in walking/gait-based tests that assess the effectiveness of a personalised auditory cueing on their gait. All assessments will take place at the Coach Lane Clinical Gait Lab, Northumbria University. During the session, all participants will be asked to wear a smartphone on their person (lower-back via belt attachment), as well as a pair of headphones over their ears and a wearable sensor on each of their feet (the latter are commercial reference standard wearables will be worn on the feet as a gold standard comparison to verify gait data from the smartphone).
Participants will then be asked to perform a series of forward walks around a 25m loop for 1 minute while trying to match their steps to the metronome and musical beats. Walk #1 will determine baseline stepping cadence for each participant. During walks #2-#4 the participant will listen to metronome and musical beats at a +10% increase on the cadence measured during walk #1. After walks #2 and #3, participants will (i) count backwards in their head from 30 to 0 in increments of 1 to disengage psychological responses evoked by each cueing modality and minimize any carryover effects and (ii) perform a 1 min walk with no cue at usual pace.
Specifically, walks and wash-out are:
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Supportive Care
- 盲法
- None
入排标准
- 年龄范围
- 50 Years 至 85 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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).
排除标准
- •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
研究组 & 干预措施
Cueing
干预措施: Cueing (Device)
结局指标
主要结局
Gait speed (m/s)
时间窗: 1 hour
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.
Step length (m)
时间窗: 1 hour
Distance between consecutive steps measured in metres (m). Measured by the smartphone/IMU via gait-based algorithms located on the lower back.
Cadence (steps/minute)
时间窗: 1 hour
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.
Step time variability
时间窗: 1 hour
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.
次要结局
- Falls efficacy(5 mins)
- 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)
- Musical sophistication(10 mins)
- System usability(5 mins.)