Measuring upper limb function in children with hemiparesis with 3D inertial sensors

Every stroke survivor should have this to get objective measurements of stroke disability. With that we could assign stroke protocols with efficacy ratings to fix those disabilities.
https://link.springer.com/article/10.1007/s00381-017-3580-1

• Authors
• Authors and affiliations

• Christopher J. NewmanEmail author
• Roselyn Bruchez
• Sylvie Roches
• Marine Jequier Gygax
• Cyntia Duc
• Farzin Dadashi
• Fabien Massé
• Kamiar Aminian

• Christopher J. Newman
  • 1
  Email author
• Roselyn Bruchez
  • 1
• Sylvie Roches
  • 1
• Marine Jequier Gygax
  • 1
• Cyntia Duc
  • 2
• Farzin Dadashi
  • 2
• Fabien Massé
  • 2
• Kamiar Aminian
  • 2

1. 1.Paediatric Neurology and Neurorehabilitation UnitLausanne University Hospital, Hôpital Nestlé–CHUVLausanneSwitzerland
2. 2.Laboratory of Movement Analysis and MeasurementEcole Polytechnique Fédérale de LausanneLausanneSwitzerland

Original Paper

First Online:

25 August 2017

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Abstract

Purpose

Upper limb assessments in children with hemiparesis rely on clinical measurements, which despite standardization are prone to error. Recently, 3D movement analysis using optoelectronic setups has been used to measure upper limb movement, but generalization is hindered by time and cost. Body worn inertial sensors may provide a simple, cost-effective alternative.

Methods

We instrumented a subset of 30 participants in a mirror therapy clinical trial at baseline, post-treatment, and follow-up clinical assessments, with wireless inertial sensors positioned on the arms and trunk to monitor motion during reaching tasks.

Results

Inertial sensor measurements distinguished paretic and non-paretic limbs with significant differences (P < 0.01) in movement duration, power, range of angular velocity, elevation, and smoothness (normalized jerk index and spectral arc length). Inertial sensor measurements correlated with functional clinical tests (Melbourne Assessment 2); movement duration and complexity (Higuchi fractal dimension) showed moderate to strong negative correlations with clinical measures of amplitude, accuracy, and fluency.

Conclusion

Inertial sensor measurements reliably identify paresis and correlate with clinical measurements; they can therefore provide a complementary dimension of assessment in clinical practice and during clinical trials aimed at improving upper limb function.