Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 27, 2026

Video Movement Analysis Using Smartphones (ViMAS): A Pilot Study
07:51

Video Movement Analysis Using Smartphones (ViMAS): A Pilot Study

Published on: March 14, 2017

Smartphone-Based Grading and Rehabilitation in Patients With Facial Palsy Using Computer Vision: Prospective

Franz-Tassilo Müller-Graff1, Fabian Essig2, Maximilian U Friedrich3

  • 1Department of Oto-Rhino-Laryngology, Head and Neck Surgery, University Hospital Wuerzburg, Josef-Schneider-Strasse 11, Wuerzburg, 97080, Germany, 49 093120121485.

JMIR Rehabilitation and Assistive Technologies
|May 25, 2026
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Role of Innate Lymphoid Cells in Chronic Rhinosinusitis: Insights from Tissue and Peripheral Blood Flow Cytometric Analysis.

Advances in respiratory medicine·2026
Same author

Exploring the Adoption of Mobile Health Apps Among Patients with Head and Neck Cancer After the COVID-19 Pandemic: Secondary Analysis of Cross-Sectional Survey.

JMIR cancer·2026
Same author

<i>FRMPD4</i>, a causal gene for intellectual disability and epilepsy, is associated with X-linked non-syndromic hearing loss.

medRxiv : the preprint server for health sciences·2026
Same author

Preoperative Imaging for Cochlear Implantation: A Global Consensus.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery·2026
Same author

Oncological Safety of High Hydrostatic Pressure Treatment: Effects on Cancer-Associated Fibroblast-like Transdifferentiation of Adipose Stromal Cells.

Current issues in molecular biology·2026
Same author

The Influence of Cisplatin on Functionality and Surface Characteristics of Mesenchymal Stromal Cells In Vitro.

International journal of molecular sciences·2026
Same journal

Experiences With Technology Among Adults Aging With HIV Engaged in an Online Community-Based Exercise Intervention Study: Longitudinal Qualitative Descriptive Study and Secondary Data Analysis.

JMIR rehabilitation and assistive technologies·2026
Same journal

Affective Computing in Serious Games for Physical Rehabilitation: Scoping Review.

JMIR rehabilitation and assistive technologies·2026
Same journal

Adherence to a Digital Knee Rehabilitation Platform Among Patients With Knee Osteoarthritis and Anterior Cruciate Ligament Reconstruction in Hong Kong: Qualitative Study.

JMIR rehabilitation and assistive technologies·2026
Same journal

Toward a Digitally Informed Knitted Prosthetic Interface With Graded Stiffness to Enhance Comfort in Transtibial Amputees: Proof-of-Concept Case Study.

JMIR rehabilitation and assistive technologies·2026
Same journal

Clinical Outcomes of Individualized Electrostimulation Using a Wearable Electro Suit and Qualitative Feedback From a Mixed Cohort of Survivors of Stroke and Spinal Cord Injury With Spasticity: Case Series.

JMIR rehabilitation and assistive technologies·2026
Same journal

From Metrics to Meaning in Neurological Rehabilitation: Clinicians' Perspectives on Digital Metrics of Upper Limb Functioning-A Focus Group Study.

JMIR rehabilitation and assistive technologies·2026
See all related articles
This summary is machine-generated.

A new smartphone app offers objective grading for facial palsy using a Digital Facial Index (DFI), showing significant functional improvement and high usability in a pilot study for better home-based rehabilitation.

Area of Science:

  • Digital health interventions
  • Computer vision in medicine
  • Rehabilitation technologies

Background:

  • Peripheral facial palsy leads to significant functional and psychosocial impairments.
  • Conventional clinical scales for facial palsy assessment are subjective and have interobserver variability.
  • Smartphone-based computer vision offers objective grading and home-based training for improved rehabilitation outcomes.

Purpose of the Study:

  • To evaluate a novel iOS smartphone app for facial palsy management.
  • To validate the app's Digital Facial Index (DFI) against standard clinical grading scales.
  • To assess patient-reported outcomes and usability of the app for home-based rehabilitation.

Main Methods:

  • A 4-week single-arm pilot study with 21 patients using a novel iOS app.
Keywords:
Digital Facial Indexcomputer visionfacial diagnosticsfacial neuromuscular retrainingfacial palsymHealthmobile healthsmartphone sensorstelerehabilitationtruedepth camerausability

More Related Videos

Subjective Refraction Test Using a Smartphone for Vision Screening
05:36

Subjective Refraction Test Using a Smartphone for Vision Screening

Published on: October 18, 2024

Enhancing Upper Limb Function and Motor Skills Post-Stroke Through an Upper Limb Rehabilitation Robot
04:49

Enhancing Upper Limb Function and Motor Skills Post-Stroke Through an Upper Limb Rehabilitation Robot

Published on: September 6, 2024

Related Experiment Videos

Last Updated: May 27, 2026

Video Movement Analysis Using Smartphones (ViMAS): A Pilot Study
07:51

Video Movement Analysis Using Smartphones (ViMAS): A Pilot Study

Published on: March 14, 2017

Subjective Refraction Test Using a Smartphone for Vision Screening
05:36

Subjective Refraction Test Using a Smartphone for Vision Screening

Published on: October 18, 2024

Enhancing Upper Limb Function and Motor Skills Post-Stroke Through an Upper Limb Rehabilitation Robot
04:49

Enhancing Upper Limb Function and Motor Skills Post-Stroke Through an Upper Limb Rehabilitation Robot

Published on: September 6, 2024

  • The app utilized iPhone TrueDepth 3D camera and computer vision for objective DFI calculation.
  • Concurrent validity of DFI was assessed against House-Brackmann Scale, Sunnybrook Facial Grading System, and Stennert Index; patient outcomes included FDI and usability scales.

    • Main Results:

    • Strong correlations were found between the app's DFI and conventional clinical scores.
    • Significant improvements in physical and social scores of the Facial Disability Index (FDI) were observed.
    • The app demonstrated excellent usability (mean System Usability Scale 88.3) and high patient satisfaction.

    Conclusions:

    • The app's DFI provides objective facial function grading comparable to standard clinical scales.
    • The digital approach shows feasibility for home-based facial palsy rehabilitation, improving patient function.
    • Further controlled studies are recommended to confirm efficacy and enhance long-term patient engagement.