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Benchmarking the iOS Balance Application Against the Berg Balance Test

Benchmarking the iOS Balance Application Against the Berg Balance Test

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02705690
Acronym
BBAaBBT
Enrollment
20
Registered
2016-03-10
Start date
2016-05-31
Completion date
2016-08-31
Last updated
2016-03-10

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

Conditions

Accidental Falls, Ankle Injuries, Arthroplasty, Replacement, Hip, Arthroplasty, Replacement, Knee, Knee Injuries, Spinal Injuries

Brief summary

This study aims to benchmark the performance of an iOS application against the Berg Balance Scale (BBS), which is the most commonly used assessment tool by clinicians for measuring balance across the continuum from acute care to community-based care. An iPhone will be tied around the waist of the participant and concurrent measurements will be taken for five of the fourteen stances which comprise the BBS.

Detailed description

'Project Balance' aims to make balance an actionable component of an individuals health, allowing a long term intervention via a monitoring and training of balance health much before a fall happens. Towards this end, we have designed an iOS application and a belt. The phone is kept stable against the lower back of the participant using the belt. The application turns on the accelerometer in the phone to sample acceleration along x (media lateral) and z (anterior posterior) axis. These displacements from the mean are used to calculate the Root Mean Square of a person which acts a proxy score for Postural Sway. (Postural sway is defined as the phenomenon of constant displacement and correction of the position of the center of gravity within the base of support) Studies in the past have compared the use of accelerometers to the use of the clinical measured of Timed Up (TUG) test and Berg Balance Scale (BBS) in the assessment of postural stability and indicated that there is a high correlation between BBS, TUG and Accelerometry. Accelerometry has also found to be able to distinguish between sway responses to differing balancing conditions and between fallers and non-fallers. We aim to conduct a benchmarking study for our iOS application against the BBS.

Interventions

DEVICEiOS Balance Application

We have designed an iOS application and a belt. The application uses accelerometer data to calculate postural sway. Steps: The phone is kept stable against the lower back of the participant using the belt. The iOS application gives instructions to user to adopt the correct stance (eg: Standing Unsupported, legs side by side) Once the stance is adopted, the application turns on the accelerometer in the phone to sample acceleration along x (media lateral) and z (anterior posterior) axis. These displacements from the mean are used to calculate the Root Mean Square of a person which acts a proxy score for Postural Sway. (Postural sway is defined as the phenomenon of constant displacement and correction of the position of the center of gravity within the base of support)

Sponsors

University College, London
CollaboratorOTHER
Stannah Stairlifts
Lead SponsorINDUSTRY

Study design

Allocation
NON_RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 69 Years
Healthy volunteers
Yes

Inclusion criteria

Between the ages of 18 - 69 Selected to undergo a Berg Balance Sale Impairments including : Ankle injures, Knee Replacements, Hip Replacements, Knee injuries, ligament tears etc.

Exclusion criteria

Subjects will be excluded from participation if they have peripheral neuropathy (clinically diagnosed or if they had symptoms of numbness/tingling in the lower extremities); pain of any level presenting simultaneously in both lower extremities; or unilateral lower extremity pain \>3 on the 11 point visual analog (box) scale. Pregnant women will be excluded.

Design outcomes

Primary

MeasureTime frame
Spearman's Rank Coefficient to compare the Root Mean Square from iOS application to the Berg Balance Scale ScoreBaseline

Secondary

MeasureTime frameDescription
Symmetry Ratio (Root Mean Square Left Leg vs Root Mean Square Right Leg) AP/ML Ratio (Ratio of the Anterior Posterior movement vs the media lateral movement)BaselineThe iOS application can compare the Root Mean Square(RMS) from the left leg to the right leg to produce a symmetry ratio for the physiotherapist, this provides a more granular view of the participants balance health. Similarly, the application can calculate the ratio of Anterior Posterior movement to the Media Lateral movement.

Countries

United Kingdom

Contacts

Primary ContactShruti Grover, MSc
shruti.grover@stannah.co.uk07767118256

Outcome results

None listed

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