Category: Clinical Practice (assessment, diagnosis, treatment, knowledge translation/EBP, implementation science, program development); Measurement; Technology (e.g. robotics, assistive technology, mHealth)
To develop a quantitative measurement of facial palsy based on a 3D motion capture protocol.
Clinical observational prospective study.
Maxillofacial department and research lab, university hospital.
Participants (or Animals, Specimens, Cadavers) :
Patients (n=19; 15 women, 4 men) with facial palsy diagnosis.
We captured facial motion on patients who performed a five-movement protocol. 105 reflective skin markers (Ø 1.5 mm) were placed on the face. Motion capture was carried out by 18 optoelectronic cameras connected to the Nexus 2.6 software (ViconTM).
Main Outcome Measure(s) :
A routine program using MatlabTM (R2015b) and based on reference values acquired from 30 healthy volunteers has been developed. This program allowed a data visualization of amplitudes and speed displacement. Results are shown as a radar graph with respect of lateralization and facial areas.
Measurement accuracy was less than 0.05 mm. We developed a clear and original graphic representation of the displacements. A spatiotemporal examination made it possible to identify and quantify synkinesis. We also propose a motion capture score allowing an objective long-term follow-up.
We developed a quantitative 3D motion capture measurement protocol providing reliable data in patients with facial movement disorders.
Our method uses a graphic representation wich illustrates the possibility to quantify, and locate muscle impairment, synkinesis, and compensatory mechanisms of facial palsy. A motion capture score can be associated; facilitating quantitative long-term follow-up. It provides support for decision making in rehabilitation and therapeutic management.
Matthieu Olivetto– Resident, Department of maxillofacial surgery, University Hospital of Amiens, Amiens, Picardie
François-Régis Sarhan– Physiotherapist, Department of Physical Medicine and Rehabilitation, University Hospital of Amiens, AMIENS, Picardie
Khalil Ben Mansour– Researcher, University of Technology of Compiegne, COMPIEGNE, Picardie
Jean-Paul Marie– Head chief, Department of E.N.T, University Hospital of Rouen, France, ROUEN, Haute-Normandie
Frédéric Marin– Head Chief, University of Technology of Compiegne, COMPIEGNE, Picardie
Stéphanie Dakpé– Senior, Department of maxillofacial surgery, University Hospital of Amiens, Amiens, Picardie