Análisis de la marcha y el equilibrio mediante el uso de sensores inercialesestudio prospectivo, longitudinal, no aleatorio

  1. Frank Alberto Betances Reinoso
  2. Tania Lopez Montes
  3. Víctor M. Rodríguez Ontiveros
  4. Carlos Chiesa Estomba
Revista:
Ciencia y Salud

ISSN: 2613-8816,  2613-8824

Año de publicación: 2020

Volumen: 4

Número: 1

Páginas: 11-16

Tipo: Artículo

DOI: 10.22206/CYSA.2020.V4I1.PP11-16 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Ciencia y Salud

Resumen

Introduction: The world population is aging rapidly. A third of those over 65 years of age falls at least once a year, and this prevalence increases by half when they exceed 69 years. Objective: To determine the sensitivity of the use of inertial sensors to determine the gait and rotations of the trunk in a group of healthy individuals. Materials: We use 3 inertial sensors of 9-axis together with the same number of microcontrollers, that sent the information via bluetooth to the computer, the data processing was carried out through an analysis program developed in MATLAB. To analyze the sensitivity of the sensors we use the protocol of Akram et al,5 modified, which consists of 5 activities. Results: In our study 6 volunteers participated, with an average age of 29 years, with an age range 25 to 33 years. The sensors were able to detect multiple variables, including the maximum and minimum elevation of the legs, number of steps, the degree of inclination of the trunk, rotation, speed and cadence. Conclusion: The results obtained are promising and we believe that the use of multiple inertial sensors to assess gait and balance could result in a new tool for the diagnosis and monitoring of people with gait and balance disorder.

Referencias bibliográficas

  • 1. Fernadez, J.L.; Parapar, C; Ruiz, M. El enveje-cimiento de la población. Unidad de Análisis FGCSIC. Lychnos: Cuadernos de la Fundación General. 2010 Sep 2;(1): 6-11. Available from: http://www.fgcsic.es/lychnos/es_es/articulos/envejecimiento_poblacion.
  • Lord S R, Sherrington C, Menz H. B. Falls in Older People: Risk Factors and Strategies for Prevention. Australasian Journal on Ageing. 2009 Feb;28: 47-8.
  • 3- Perry J. Gait Analysis: Normal and Patho-logical Function. J Sports Sci Med. 2010 Jun 1;9(2): 353.
  • Caña-Pino A, Apolo-Arenas MD, Moral-Blanco J, Álvaro-de Diego J, Fernández Gutiérrez C. Valoración del equilibrio postural en bipedes-tación-sedestación en sujetos sanos mediante acelerometría. Estudio piloto. Fisioterapia. 2015 Nov;37(6): 271-8.
  • Akram SB, Frank JS, Fraser J. Effect of wal-king velocity on segment coordination during pre-planned turns in healthy older adults. Gait & Posture. 2010 junio;32(2): 211-4.
  • Statistics Finland. Accident Mortality in 1936 to 2010. [Online]. Available from: http://www.stat.fi/til/ksyyt/2010/ksyyt_2010_2011-12-16_ kat_005_en.html
  • Berg KO, Wood-Dauphinee SL, Williams JI, Maki B. Measuring balance in the elderly: vali-dation of an instrument. Can J Public Health. 1992 Jul-Aug;83 Suppl 2: S7-11.
  • Greene BR, O’Donovan A, Romero-Ortuno R, Cogan L, Scanaill CN, Kenny RA. Quan-titative falls risk assessment using the timed up and go test. IEEE Trans Biomed Eng. 2010 Dec;57(12): 2918-26.
  • Doheny EP, Fan CW, Foran T, Greene BR, Cunningham C, Kenny RA. An instrumented sit-to-stand test used to examine differences between older fallers and non-fallers. Conf Proc IEEE Eng Med Biol Soc. 2011;2011: 3063-6.
  • Huang K, Sparto PJ, Kiesler S, Siewiorek DP, Smailagic A. iPod-based in-home system for monitoring gaze-stabilization exercise compliance of individuals with vestibular hypofunction. J Neuroeng Rehabil. 2014 Apr 21;11: 69.
  • Alberts JL, Hirsch JR, Koop MM, Schindler DD, Kana DE, Linder SM, et al. Using Accele-rometer and Gyroscopic Measures to Quantify Postural Stability. Journal of Athletic Training. 2015 Jun;50(6): 578-88.
Fuente de los datos: Dialnet