El estudio de la enfermedad de Parkinson con instrumentación biomédica: proyecto para el aula de Tecnología en educación secundaria

María Encarnación Micó-Amigo; Ester Micó-Amigo

doi:10.51302/tce.2017.138

Authors

María Encarnación Micó-Amigo MOVE Research Institute Amsterdam, Departamento de Ciencias del Movimiento Humano, Vrije Universiteit Amsterdam (Países Bajos)
Ester Micó-Amigo Profesora asociada del Grupo de Investigación, Ciencia, Tecnología y Sociedad. Didáctica de la Ciencia (CTS_DC) de la Universidad de las Islas Baleares (España)

DOI:

https://doi.org/10.51302/tce.2017.138

Keywords:

biomedical engineering, Parkinson’s disease, inertial sensors, biomechanical analysis, Technology classroom, educación secundaria obligatoria (ESO) and bachillerato (high school education)

Abstract

This project aims to engage young students of educación secundaria obligatoria (ESO) and bachillerato (last levels of the compulsory high school education system) in an experimental project based on the application of medical technology for the study of Parkinson’s disease (PD).

The project consists of an informative session and two practical sessions, all to be carried on the classroom-workshop of the Technology course. At the initial and informative session, it is proposed to expose the context, challenges and current technical constraints in the field of neurology for the diagnosis and treatment of neurodegenerative diseases, with special focus on PD. The first practical session presents an interactive activity that includes the study, design, assembly and calibration of an inertial sensor (accelerometer or gyroscope). The second practical session requests the students to perform a measurement protocol with a commercial device of clinical use on all the students and involved teachers. The analysis of the obtained measures and the comparison of these with data corresponding to a cohort of patients with PD (provided by the teachers) will lead to the proposal of ideas for the development of a diagnostic method for PD.

With an experimental, innovative and pragmatic methodology, this projects aims to foster a constructivist learning, to boost a rational thinking, to stimulate the imagination and wit, to expand multidisciplinary knowledge, to raise awareness about a socially relevant reality, to develop social skills though a team work approach and to motivate and inspire the students.

Downloads

Download data is not yet available.

References

Chung, P.-C.; Hsu, Y.-L.; Wang, C.-Y.; Lin, C.-W.; Wang, J.-S. y Pai, M.-C. [2012]: «Gait analysis for patients with Alzheimer’s disease using a triaxial accelerometer», 2012 IEEE International Symposium on Circuits and Systems, 2012, págs. 1.323-1.326.

Dalton, A.; Khalil, H.; Busse, M.; Rosser, A.; Deursen, R. van y ÓLaighin, G. [2013]: «Analysis of gait and balance through a single triaxial accelerometer in presymptomatic and symptomatic Huntington’s disease», Gait Posture, 37 (1), págs. 49-54.

Deane, K. H.; Flaherty, H.; Daley, D. J.; Pascoe, R.; Penhale, B.; Clarke, C. E.; Sackley, C. y Storey, S. [2014]: «Priority setting partnership to identify the top 10 research priorities for the management of Parkinson’s disease», BMJ Open, 4 (12): e006434.

Fantini, S.; Bennis, C. y Kaplan, D. [2011]: «Biomedical engineering continues to make the future», IEEE Pulse, 2 (4), págs. 70-73.

Fearnley, J. M. y Lees, A. J. [1991]: «Ageing and Parkinson’s disease: substantia nigra regional selectivity», Brain, 114, págs. 2.283-2.301.

Gallardo-Gil, M.; Fernández-Navas, M.; Sepúlveda-Ruiz, M.ª P.; Serván, M.ª J.; Yus, R. y Barquín, J. [2010]: «PISA y la competencia científica: un análisis de las pruebas de PISA en el área de ciencias», Relieve: Revista Electrónica de Investigación y Evaluación Educativa, 16 (2), págs. 1-17.

Heebner, N. R.; Akins, J. S.; Lephart, S. M. y Sell, T. C. [2015]: «Reliability and validity of an accelerometry based measure of static and dynamic postural stability in healthy and active individuals», Gait Posture, 41 (2), págs. 535-539.

Horak, F. B. y Mancini, M. [2013]: «Objective biomarkers of balance and gait for Parkinson’s disease using body-worn sensors», Movement Disorders, 28 (11), págs. 1.544-1.551.

Howcroft, J.; Lemaire, E. D.; Kofman, J. y Kendell, C. [2015]: «Understanding dynamic stability from pelvis accelerometer data and the relationship to balance and mobility in transtibial amputees», Gait Posture, 41 (3), págs. 808-812.

Lau L. M. de y Breteler, M. M. [2006]: «Epidemiology of Parkinson’s disease», Lancet Neurol, 5 (6), págs. 525- 535.

Maetzler, W. y Hausdorff, J. M. [2012]: «Motor signs in the prodromal phase of Parkinson’s disease», Movement Disorders, 27 (5), págs. 627-633.

Maetzler, W.; Nieuwhof, F.; Hasmann, S. E. y Bloem, B. R. [2013]: «Emerging therapies for gait disability and balance impairment: promises and pitfalls», Movement Disorders, 28 (11), págs. 1.576-1.586.

McCrone, P.; Allcock, L. M. y Burn, D. J. [2007]: «Predicting the cost of Parkinson’s disease», Movement Disorders, 22 (6), págs. 804-812.

Micó-Amigo, M.ª E.; Kingma, I.; Ainsworth, E.; Walgaard, S.; Niessen, M.; Lummel, C. R. van y Dieën, H. J. van [2016]: «A novel accelerometry-based algorithm for the detection of step durations over short episodes of gait in healthy elderly», Journal of Neuroengineering and Rehabilitation, 13, págs. 1-12.

Morales, P. y Landa, V. [2004]: «Aprendizaje basado en problemas», Theoria, 13, págs. 145-157.

Raknim, P. y Lan, K.-C. [2016]: «Gait monitoring for early neurological disorder detection using sensors in a smartphone: validation and a case study of parkinsonism», Telemedicine and e-Health, 22 (1), págs. 75-81.

Rocchi, L.; Chiari, L.; Mancini, M.; Carlson-Kuhta, P.; Gross, A. y Horak, F. B. [2006]: «Step initiation in Parkinson’s disease: influence of initial stance conditions», Neuroscience Letters, 406 (1-2), págs. 128-132.

Spottke, A. E.; Reuter, M.; Machat, O.; Bornschein, B.; Campenhausen, S. von; Berger, K; Koehne-Volland, R.; Rieke, J.; Simonow, A.; Brandstaedter, D.; Siebert, U.; Oertel, W. H.; Ulm, G. y Dodel, R. [2005]: «Cost of illness and its predictors for Parkinson’s disease in Germany», Pharmacoeconomics, 23 (8), págs. 817-836.

Uem, J. M. van; Marinus, J.; Canning, C.; Lummel, R. van; Dodel, R.; Liepelt-Scarfone, I.; Berg, D.; Morris, M. E. y Maetzler, W. [2016]: «Health-related quality of life in patients with Parkinson's disease-A systematic review based on the ICF model», Neuroscience & Biobehavioral Reviews, 61, págs. 26-34.

Villarine, A. [1998]: «Desarrollo humano y pensamiento en la perspectiva de Piaget y Vigostky», Actas del Encuentro Nacional de Educación.

Wahid, F.; Begg, R. K.; Hass, C. J.; Halgamuge, S. y Ackland, D. C. [2015]: «Classification of Parkinson's disease gait using spatial-temporal gait features», IEEE Journal of Biomedical and Health Informatics, 19 (6), págs. 1.794-1.802.

Yang, C.-C. y Hsu, Y.-L. [2010]: «A review of accelerometry-based wearable motion detectors for physical activity monitoring», Sensors, 10 (8), págs. 7.772-7.788.