Your browser doesn't support javascript.
loading
Optical Measurements of the Skin Surface to Infer Bilateral Distinctions in Myofascial Tissue Stiffness.
Kao, Anika R; Landsman, Zack T; Gerling, Gregory J; Loghmani, Mary T.
Afiliación
  • Kao AR; University of Virginia, Charlottesville, USA.
  • Landsman ZT; University of Virginia, Charlottesville, USA.
  • Gerling GJ; University of Virginia, Charlottesville, USA.
  • Loghmani MT; Indiana University, Indianapolis, USA.
World Haptics Conf ; 2023: 244-251, 2023 Jul.
Article en En | MEDLINE | ID: mdl-38618515
ABSTRACT
About half the U.S. adult population suffers from chronic neuromusculoskeletal pain. While its evaluation and treatment are widely addressed by therapies using soft tissue manipulation (STM), their efficacy is based upon clinician judgment. Robust biomarkers are needed to quantify the effects of STM on patient outcomes. Among noninvasive methods to quantify the mechanics of myofascial tissue, most are limited to small (<10 mm2), localized regions of interest. In contrast, we develop an approach to optically simultaneously measure a larger (~100 cm2) field of deformation at the skin surface. Biomarkers based on skin lateral mobility are derived to infer distinctions in myofascial tissue stiffness. In specific, three cameras track ink speckles whose fields of deformation and stretch are resolved with digital image correlation. Their ability to differentiate bilateral distinctions of the cervicothoracic region is evaluated with four participants, as a licensed clinician performs STM. The results indicate that the optically derived surface biomarkers can differentiate bilateral differences in skin mobility, with trend directions within a participant similar to measurements with an instrumented force probe. These findings preliminarily suggest skin surface measurements are capable of inferring underlying myofascial tissue stiffness, although further confirmation will require a larger, more diverse group of participants.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: World Haptics Conf Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: World Haptics Conf Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos