Skip to content

Robotic Walking Device to Improve Mobility in Parkinson's Disease

Use of a Robotic Walking Device to Improve Home and Community Mobility in People With Parkinson's Disease

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03751371
Enrollment
45
Registered
2018-11-23
Start date
2019-05-15
Completion date
2021-09-27
Last updated
2023-06-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Parkinson Disease

Keywords

Parkinson, Exoskeleton, Honda, Walking Assist, Walking, Gait, Mobility, Rehabilitation, Physical Therapy

Brief summary

This Phase II randomized controlled trial proposes to examine the impact of long-term use of a novel light-weight and wearable assistive robotic device, called the Honda Walking Assist (HWA) device, to improve mobility in the home and community in individuals with mild to moderate Parkinson's disease (PD). Specific aims of the project are to: 1) determine the short-term impact of mechanical gait assistance on efficiency and ease of walking in individuals with PD, and 2) determine the effect of long-term HWA device usage on the ease and ability to walk unassisted in the home and community in individuals with PD.

Detailed description

Difficulties with walking in people with Parkinson's disease contribute to injurious falls and decreased quality of life. The Honda Walking Assist (HWA) robotic device is designed to assist individuals with gait impairments to take longer strides and walk faster. This study will investigate the impact of HWA usage on mobility in the home and community in individuals with PD. It will also examine feasibility and safety of HWA usage in the PD population. Specific Aim 1: Determine the short-term impact of mechanical gait assistance on efficiency and ease of walking in individuals with PD. With disease progression, individuals with PD develop gait impairments (e.g., slower gait velocity, shorter step lengths, increased step-to-step variability, and freezing of gait), that interfere with their abilities to perform daily living tasks and participate in work, home, and social activities and predispose them to falls. The investigators hypothesize that wearing the HWA device will improve gait efficiency, gait parameters, and perceived ease of walking in individuals with PD compared to unassisted walking over a one session period. Specific Aim 2: Determine the effect of long-term HWA device usage on the ease and ability to walk unassisted in the home and community in individuals with PD. Angular sensors embedded in the HWA monitor the cadence, angular velocity, and degree of hip extension and flexion of the device user. When the user initiates walking, the HWA automatically adjusts leg movements to reach target walk ratios (step length/cadence) by increasing the amount of hip flexion and/or extension using power supplied by the device. Thus, the HWA applies continuous, step-by-step cueing to individuals with PD to take bigger and more symmetrical steps, thereby producing a faster and more efficient walking pattern. By wearing the HWA device over an extended period of time, individuals with PD will repetitively practice walking with a more normal gait pattern, possibly driving neuroplastic changes that will translate to improve unassisted walking. The investigators hypothesize that an 8-week intervention of HWA device usage will improve gait efficiency, gait parameters, perceived ease of walking, self-confidence, and daily physical activity in the home and community in individuals with PD with and without the use of the device.

Interventions

DEVICETraining with HWA device

Gait assessments will be conducted on participants randomized to the Trained group first during unassisted walking followed by HWA-assisted walking. Participants randomized to the Trained group will receive physical therapist supervised home and community-based walking training wearing the HWA device 2 times per week for 45-60 minutes for 8 weeks. Training will consist of walking in and outside of the home while encouraging larger and more symmetrical steps with practice of activities that challenge the person's balance and motor control. Rest breaks will be allowed as needed. If the therapist is unable to adjust the HWA to provide a safe gait pattern, the session will be ended and the device removed.

OTHERUsual Care

The Untrained group will continue their usual daily activities including any exercise regimen that they typically perform. However, they will be asked not to start any new exercise program during the study period.

Sponsors

Michael J. Fox Foundation for Parkinson's Research
CollaboratorOTHER
Honda Research and Development Americas
CollaboratorINDUSTRY
Ohio State University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
50 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Diagnosis of idiopathic Parkinson's disease * Age 50-80 years * Able to ambulate without assistance (Hoehn & Yahr stages 1-3) * On stable doses of Parkinson's medications for at least 4 weeks prior to the study.

Exclusion criteria

* Presence of other significant cardiac, neurological or orthopedic problems that affect gait * Weight more than 220 pounds and height greater than 6'8 * Electronic medical devices embedded in the body * Participating in any physical therapy * Inability to understand instructions required by the study.

Design outcomes

Primary

MeasureTime frameDescription
Gait Velocity8 weeksWalking speed in meters per second

Secondary

MeasureTime frameDescription
Stride Length8 weeksStride length in centimeters
Double Support Time8 weeksDouble support time in seconds
Swing Time - Right Leg8 weeksSwing time in seconds of right leg
Swing Time - Left Leg8 weeksSwing time in seconds of left leg
Double Support Time Coefficient of Variation8 weeksThe double support time coefficient of variation was calculated by first calculating the mean and SD of the double support time for each of the participants. The calculation of the coefficient of variation were done by taking the standard deviations and dividing them by the mean. Thus calculation of the double support time coefficient of variation required multiple measures for each participant. After calculating the double support time coefficients of variation for each participant, we then calculated the mean and SD of the double support time coefficients of variation. This explains the data value with the measure of central tendency reported in the data table.
Swing Time Coefficient of Variation of Right Leg8 weeksThe swing time coefficient of variation of right leg was calculated by first calculating the mean and SD of the swing time of the right leg for each of the participants. The calculation of the coefficient of variations were done by taking the standard deviations and dividing them by the mean. Thus calculation of the swing time of right leg coefficient of variation required multiple measures for each participant. After calculating the swing time of right leg coefficients of variation for each participant, we then calculated the mean and SD of the swing time of the right leg coefficients of variation. This explains the data value with the measure of central tendency reported in the data table.
6-Minute Walk Test8 weeksDistance walked in 6 minutes, reported in meters
Stride Length Coefficient of Variation8 weeksThe stride length coefficient of variation was calculated by first calculating the mean and SD of the stride length for each of the participants. The calculation of the coefficient of variations were done by taking the standard deviations and dividing them by the mean. Thus calculation of the stride length coefficient of variation required multiple measures for each participant. After calculating the stride length coefficients of variation for each participant, we then calculated the mean and SD of the stride length coefficients of variation. This explains the data value with the measure of central tendency reported in the data table.
Participants' Perceived Ease of Walking8 weeksIndicated on a visual analog scale (line with demarcations of 0-10 spaced evenly and with anchors Not at all easy at 0 on the left end, moderately easy at 5, and Extremely easy at 10 on the right end). Participants are asked to rate where on line it indicates how easy it felt for them to walk during the six minute walk test.
Self-Efficacy for Measuring Chronic Disease 6-Item Scale8 weeksQuestionnaire to measure participants' confidence (I.e., self-efficacy) in performing daily activities. The score for the scale is the mean of the 6 items with a range of possible scores from 1 to 10. Higher number (10) indicates higher self-efficacy.
Freezing of Gait Questionnaire8 weeksThe Freezing of Gait Questionnaire assesses Freezing of Gait (FOG) severity unrelated to falls in patients with Parkinson's disease (PD), FOG frequency, disturbances in gait, and relationship to clinical features conceptually associated with gait and motor aspects. Six items are scored on 0-4 scale for a total score range of 0-24, with higher scores indicating worse outcomes.
Number of Participants With Falls8 weeksNumber of participants who recorded falls in a log during the 8-week intervention
Swing Time Coefficient of Variation of Left Leg8 weeksThe swing time coefficient of variation of left leg was calculated by first calculating the mean and SD of the swing time of the left leg for each of the participants. The calculation of the coefficient of variations were done by taking the standard deviations and dividing them by the mean. Thus calculation of the swing time of left leg coefficient of variation required multiple measures for each participant. After calculating the swing time of left leg coefficients of variation for each participant, we then calculated the mean and SD of the swing time of the left leg coefficients of variation. This explains the data value with the measure of central tendency reported in the data table.

Countries

United States

Participant flow

Participants by arm

ArmCount
Walking Training With the HWA Device
Training with HWA device Training with HWA device: Gait assessments will be conducted on participants randomized to the Trained group first during unassisted walking followed by HWA-assisted walking. Participants randomized to the Trained group will receive physical therapist supervised home and community-based walking training wearing the HWA device 2 times per week for 45-60 minutes for 8 weeks. Training will consist of walking in and outside of the home while encouraging larger and more symmetrical steps with practice of activities that challenge the person's balance and motor control. Rest breaks will be allowed as needed. If the therapist is unable to adjust the HWA to provide a safe gait pattern, the session will be ended and the device removed.
23
Usual Care
Usual Care Usual Care: The Untrained group will continue their usual daily activities including any exercise regimen that they typically perform. However, they will be asked not to start any new exercise program during the study period.
22
Total45

Baseline characteristics

CharacteristicUsual CareTotalWalking Training With the HWA Device
Age, Categorical
<=18 years
0 Participants0 Participants0 Participants
Age, Categorical
>=65 years
17 Participants36 Participants19 Participants
Age, Categorical
Between 18 and 65 years
5 Participants9 Participants4 Participants
Age, Continuous72 years72 years72 years
Race and Ethnicity Not Collected0 Participants
Region of Enrollment
United States
22 participants45 participants23 participants
Sex: Female, Male
Female
2 Participants12 Participants10 Participants
Sex: Female, Male
Male
20 Participants33 Participants13 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 230 / 22
other
Total, other adverse events
0 / 230 / 22
serious
Total, serious adverse events
0 / 230 / 22

Outcome results

Primary

Gait Velocity

Walking speed in meters per second

Time frame: 8 weeks

Population: Missing gait velocity data for one participant in the Training group

ArmMeasureValue (MEAN)Dispersion
Walking Training With the HWA DeviceGait Velocity1.25 Meters per secondStandard Deviation 0.3
Usual CareGait Velocity1.25 Meters per secondStandard Deviation 0.33
Secondary

6-Minute Walk Test

Distance walked in 6 minutes, reported in meters

Time frame: 8 weeks

ArmMeasureValue (MEAN)Dispersion
Walking Training With the HWA Device6-Minute Walk Test416.93 MetersStandard Deviation 124.35
Usual Care6-Minute Walk Test426.92 MetersStandard Deviation 125
Secondary

Double Support Time

Double support time in seconds

Time frame: 8 weeks

Population: Missing data for one person in the training group

ArmMeasureValue (MEAN)Dispersion
Walking Training With the HWA DeviceDouble Support Time18.01 SecondsStandard Deviation 5.56
Usual CareDouble Support Time16.77 SecondsStandard Deviation 4.38
Secondary

Double Support Time Coefficient of Variation

The double support time coefficient of variation was calculated by first calculating the mean and SD of the double support time for each of the participants. The calculation of the coefficient of variation were done by taking the standard deviations and dividing them by the mean. Thus calculation of the double support time coefficient of variation required multiple measures for each participant. After calculating the double support time coefficients of variation for each participant, we then calculated the mean and SD of the double support time coefficients of variation. This explains the data value with the measure of central tendency reported in the data table.

Time frame: 8 weeks

Population: Missing data for one person in the training group

ArmMeasureValue (MEAN)Dispersion
Walking Training With the HWA DeviceDouble Support Time Coefficient of Variation0.20 Coefficient of variationStandard Deviation 0.09
Usual CareDouble Support Time Coefficient of Variation0.23 Coefficient of variationStandard Deviation 0.17
Secondary

Freezing of Gait Questionnaire

The Freezing of Gait Questionnaire assesses Freezing of Gait (FOG) severity unrelated to falls in patients with Parkinson's disease (PD), FOG frequency, disturbances in gait, and relationship to clinical features conceptually associated with gait and motor aspects. Six items are scored on 0-4 scale for a total score range of 0-24, with higher scores indicating worse outcomes.

Time frame: 8 weeks

ArmMeasureValue (MEAN)Dispersion
Walking Training With the HWA DeviceFreezing of Gait Questionnaire9.00 score on a scaleStandard Deviation 6.49
Usual CareFreezing of Gait Questionnaire9.85 score on a scaleStandard Deviation 5.45
Secondary

Number of Participants With Falls

Number of participants who recorded falls in a log during the 8-week intervention

Time frame: 8 weeks

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Walking Training With the HWA DeviceNumber of Participants With Falls13 Participants
Usual CareNumber of Participants With Falls11 Participants
Secondary

Participants' Perceived Ease of Walking

Indicated on a visual analog scale (line with demarcations of 0-10 spaced evenly and with anchors Not at all easy at 0 on the left end, moderately easy at 5, and Extremely easy at 10 on the right end). Participants are asked to rate where on line it indicates how easy it felt for them to walk during the six minute walk test.

Time frame: 8 weeks

ArmMeasureValue (MEAN)Dispersion
Walking Training With the HWA DeviceParticipants' Perceived Ease of Walking6.05 units on a scaleStandard Deviation 1.96
Usual CareParticipants' Perceived Ease of Walking7.47 units on a scaleStandard Deviation 2.04
Secondary

Self-Efficacy for Measuring Chronic Disease 6-Item Scale

Questionnaire to measure participants' confidence (I.e., self-efficacy) in performing daily activities. The score for the scale is the mean of the 6 items with a range of possible scores from 1 to 10. Higher number (10) indicates higher self-efficacy.

Time frame: 8 weeks

ArmMeasureValue (MEAN)Dispersion
Walking Training With the HWA DeviceSelf-Efficacy for Measuring Chronic Disease 6-Item Scale7.71 score on a scaleStandard Deviation 1.5
Usual CareSelf-Efficacy for Measuring Chronic Disease 6-Item Scale8.00 score on a scaleStandard Deviation 1.49
Secondary

Stride Length

Stride length in centimeters

Time frame: 8 weeks

Population: Missing data for one person in the training group

ArmMeasureValue (MEAN)Dispersion
Walking Training With the HWA DeviceStride Length128.96 CentimetersStandard Deviation 25.53
Usual CareStride Length131.79 CentimetersStandard Deviation 30.87
Secondary

Stride Length Coefficient of Variation

The stride length coefficient of variation was calculated by first calculating the mean and SD of the stride length for each of the participants. The calculation of the coefficient of variations were done by taking the standard deviations and dividing them by the mean. Thus calculation of the stride length coefficient of variation required multiple measures for each participant. After calculating the stride length coefficients of variation for each participant, we then calculated the mean and SD of the stride length coefficients of variation. This explains the data value with the measure of central tendency reported in the data table.

Time frame: 8 weeks

Population: Missing data for one person in the training group

ArmMeasureValue (MEAN)Dispersion
Walking Training With the HWA DeviceStride Length Coefficient of Variation0.07 Coefficient of variationStandard Deviation 0.04
Usual CareStride Length Coefficient of Variation0.08 Coefficient of variationStandard Deviation 0.08
Secondary

Swing Time Coefficient of Variation of Left Leg

The swing time coefficient of variation of left leg was calculated by first calculating the mean and SD of the swing time of the left leg for each of the participants. The calculation of the coefficient of variations were done by taking the standard deviations and dividing them by the mean. Thus calculation of the swing time of left leg coefficient of variation required multiple measures for each participant. After calculating the swing time of left leg coefficients of variation for each participant, we then calculated the mean and SD of the swing time of the left leg coefficients of variation. This explains the data value with the measure of central tendency reported in the data table.

Time frame: 8 weeks

Population: Missing data for one person in the training group

ArmMeasureValue (MEAN)Dispersion
Walking Training With the HWA DeviceSwing Time Coefficient of Variation of Left Leg0.05 Coefficient of variationStandard Deviation 0.02
Usual CareSwing Time Coefficient of Variation of Left Leg0.06 Coefficient of variationStandard Deviation 0.05
Secondary

Swing Time Coefficient of Variation of Right Leg

The swing time coefficient of variation of right leg was calculated by first calculating the mean and SD of the swing time of the right leg for each of the participants. The calculation of the coefficient of variations were done by taking the standard deviations and dividing them by the mean. Thus calculation of the swing time of right leg coefficient of variation required multiple measures for each participant. After calculating the swing time of right leg coefficients of variation for each participant, we then calculated the mean and SD of the swing time of the right leg coefficients of variation. This explains the data value with the measure of central tendency reported in the data table.

Time frame: 8 weeks

Population: Missing data for one person in the training group

ArmMeasureValue (MEAN)Dispersion
Walking Training With the HWA DeviceSwing Time Coefficient of Variation of Right Leg0.05 Coefficient of variationStandard Deviation 0.02
Usual CareSwing Time Coefficient of Variation of Right Leg0.05 Coefficient of variationStandard Deviation 0.05
Secondary

Swing Time - Left Leg

Swing time in seconds of left leg

Time frame: 8 weeks

Population: Missing data for one person in the training group

ArmMeasureValue (MEAN)Dispersion
Walking Training With the HWA DeviceSwing Time - Left Leg40.86 SecondsStandard Deviation 3.06
Usual CareSwing Time - Left Leg41.47 SecondsStandard Deviation 2.72
Secondary

Swing Time - Right Leg

Swing time in seconds of right leg

Time frame: 8 weeks

Population: Missing data for one person in the training group

ArmMeasureValue (MEAN)Dispersion
Walking Training With the HWA DeviceSwing Time - Right Leg41.28 SecondsStandard Deviation 2.93
Usual CareSwing Time - Right Leg41.94 SecondsStandard Deviation 2.37

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026