ABSTRACT
Degenerative diseases and stroke disable many people, so investigating methods for rehabilitating patients is necessary. Thus, using the framework for creating virtual environments to work with neuromotor and neurofunctional rehabilitation, benefits can be achieved using virtual environments and body tracking devices. Developing such applications involves many requirements, such as constructing virtual environments, data storage, interaction with input devices, processing, and communication in rehabilitation sessions. In this paper, the proposal and development of a multi-agent framework are presented to facilitate the development of software for neuromotor and neurofunctional rehabilitation, providing advantages for developers, such as eliminating the need for code rewriting, facilitating the reuse of coding standards, and decreasing the time to develop new features.
- 2019. On-Device, Real-Time Hand Tracking with MediaPipe. https://ai.googleblog.com/2019/08/on-device-real-time-hand-tracking-with.htmlGoogle Scholar
- 2022. Arduino - Home. https://www.arduino.ccGoogle Scholar
- Christopher Alexander 1979. The timeless way of building. Vol. 1. New york: Oxford university press.Google Scholar
- Rosana Teresinha Vaccare Braga. 2002. Um processo para construção e instanciação de frameworks baseados em uma linguagem de padrões para um domínio específico.Ph. D. Dissertation. Universidade de São Paulo.Google Scholar
- Alexandre Fonseca Brandão, Diego Roberto Colombo Dias, Sávyo Toledo Machado Reis, Clovis Magri Cabreira, Maria Cecilia Moraes Frade, Thomas Beltrame, Marcelo de Paiva Guimarães, and Gabriela Castellano. 2020. Biomechanics Sensor Node for Virtual Reality: A Wearable Device Applied to Gait Recovery for Neurofunctional Rehabilitation. In International Conference on Computational Science and Its Applications. Springer, 757–770.Google ScholarDigital Library
- Carlos A Cifuentes, Camilo Rodriguez, Anselmo Frizera-Neto, Teodiano Freire Bastos-Filho, and Ricardo Carelli. 2014. Multimodal human–robot interaction for walker-assisted gait. IEEE Systems Journal 10, 3 (2014), 933–943.Google ScholarCross Ref
- Albin Corén. 2020. Ruffles. https://github.com/MidLevel/Ruffles.Google Scholar
- Claudia Eunice Neves de Oliveira, Maria Elisabete Salina, and Nelson Francisco Annunciato. 2001. Fatores ambientais que influenciam a plasticidade do SNC. Acta Fisiátrica 8, 1 (2001), 6–13.Google Scholar
- Nuno Duarte, Octavian Postolache, and Jacob Scharcanski. 2014. KSGphysio-Kinect serious game for physiotherapy. In 2014 International Conference and Exposition on Electrical and Power Engineering (EPE). IEEE, 606–611.Google ScholarCross Ref
- ISAIAS ALVES Ferreira, Antônio Maria P de Resende, and Heitor A Xavier Costa. 2012. Análise do Impacto da Aplicação de Padrões de Projeto na Manutenibilidade de um Sistema Orientado a Objetos. Monografia de Graduação do Departamento de Ciência da Computação da Universidade Federal de Lavras, 78p (2012).Google Scholar
- David A Forsyth and Jean Ponce. 2012. Computer vision: a modern approach. Pearson,.Google Scholar
- Martin Fowler. 2009. Padrões de arquitetura de aplicações corporativas. Bookman.Google Scholar
- Erich Gamma. 1995. Design patterns. Pearson Education India.Google Scholar
- Erich Gamma. 2009. Padrões de projetos: soluções reutilizáveis. Bookman editora.Google Scholar
- Dariu M Gavrila. 1999. The visual analysis of human movement: A survey. Computer vision and image understanding 73, 1 (1999), 82–98.Google Scholar
- C Gordon, S Roopchand-Martin, and A Gregg. 2012. Potential of the Nintendo Wii™ as a rehabilitation tool for children with cerebral palsy in a developing country: a pilot study. Physiotherapy 98, 3 (2012), 238–242.Google ScholarCross Ref
- Nicholas R Jennings and Michael J Wooldridge. 2012. Agent technology: foundations, applications, and markets. Springer Science & Business Media.Google Scholar
- Naofumi Kitsunezaki, Eijiro Adachi, Takashi Masuda, and Jun-ichi Mizusawa. 2013. KINECT applications for the physical rehabilitation. In 2013 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 294–299.Google ScholarCross Ref
- Gregorij Kurillo, Jay J Han, Alina Nicorici, and Ruzena Bajcsy. 2014. Tele-MFAsT: Kinect-Based Tele-Medicine Tool for Remote Motion and Function Assessment.. In MMVR. 215–221.Google Scholar
- Simon Larsen and E Aarseth. 2006. Level design patterns. IT University of Copenhagen (2006).Google Scholar
- LS Machado and Alexandre Cardoso. 2006. Dispositivos de Entrada e saída para sistemas de realidade virtual. Fundamentos e tecnologia de Realidade Virtual e Aumentada (2006), 39–50.Google Scholar
- Rizwan Macknojia, Alberto Chávez-Aragón, Pierre Payeur, and Robert Laganière. 2013. Calibration of a network of kinect sensors for robotic inspection over a large workspace. In 2013 IEEE Workshop on Robot Vision (WORV). IEEE, 184–190.Google ScholarCross Ref
- Hisham Mubarak. 2008. Developing flexible software using agent-oriented software engineering. IEEE software 25, 5 (2008), 12–15.Google ScholarDigital Library
- Greg MP O’Hare and Nicholas R Jennings. 1996. Foundations of distributed artificial intelligence. Vol. 9. John Wiley & Sons.Google Scholar
- Design Patterns. 1994. Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides. 2003 (1994).Google Scholar
- Octavian Postolache. 2015. Physical rehabilitation assessment based on smart training equipment and mobile APPs. In 2015 E-Health and Bioengineering Conference (EHB). IEEE, 1–6.Google ScholarCross Ref
- Daniel Rodriguez-Martin, Albert Sama, Carlos Perez-Lopez, Andreu Catala, Joan Cabestany, and Alejandro Rodriguez-Molinero. 2013. SVM-based posture identification with a single waist-located triaxial accelerometer. Expert Systems with Applications 40, 18 (2013), 7203–7211.Google ScholarCross Ref
- Elaine Quintino da Silva. 2006. Um framework baseado em componentes para desenvolvimento de aplicações web e um processo de instanciação associado. Ph. D. Dissertation. Universidade de São Paulo.Google Scholar
- Ricardo Azambuja Silveira. 2001. Modelagem orientada a agentes aplicada a ambientes inteligentes distribuídos de ensino: JADE: Java Agent framework for Distance learning Environments. (2001).Google Scholar
- John Stowers, Michael Hayes, and Andrew Bainbridge-Smith. 2011. Altitude control of a quadrotor helicopter using depth map from Microsoft Kinect sensor. In 2011 IEEE International Conference on Mechatronics. IEEE, 358–362.Google ScholarCross Ref
- César AO Vaghetti, Marta A Duarte, Pedro O Ribeiro, and Silvia SC Botelho. 2012. Using exergames as social networks: testing the flow theory in the teaching of physical education. In Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação-SBIE), Vol. 23.Google Scholar
- Kent Marshall Van de Graaff. 2003. Anatomia humana. In Anatomia humana. 840–840.Google Scholar
- Jill Whitall, Sandy McCombe Waller, Kenneth HC Silver, and Richard F Macko. 2000. Repetitive bilateral arm training with rhythmic auditory cueing improves motor function in chronic hemiparetic stroke. Stroke 31, 10 (2000), 2390–2395.Google ScholarCross Ref
- A Yassin and ME Fayad. 2000. Domain-Specif Application Frameworks: Frameworks Experience by Industry.Google Scholar
Index Terms
- A framework for neuromotor and neurofunctional rehabilitation using multi-agent systems
Recommendations
Evaluating rehabilitation exercise performance using a single inertial measurement unit
PervasiveHealth '13: Proceedings of the 7th International Conference on Pervasive Computing Technologies for HealthcareInertial measurement units (IMUs) may be used during exercise to provide feedback on exercise technique. However the number of IMUs that are required to deliver effective feedback during lower limb exercises has not yet been established. This ...
A simulation-based framework with a proprioceptive musculoskeletal model for evaluating the rehabilitation exoskeleton system
Highlights- A simulation-based method with a proprioceptive musculoskeletal model was established to evaluate the rehabilitation exoskeleton.
Abstract Background and objectiveVarious rehabilitation exoskeletons have been designed to help people regain normal gait from stroke effects. However, the evaluation and further optimization of these exoskeletons are not convenient ...
Lower Limb Exoskeleton Using Recumbent Cycling Modality for Post-stroke Rehabilitation
ICIRA 2013: Proceedings of the 6th International Conference on Intelligent Robotics and Applications - Volume 8102This paper presents a compact exoskeleton robot for post-stroke patients at the early stage of lower limb rehabilitation as soon as they become stable. Unlike the usual walking gait, a new training modality mimicking the popular exercise named recumbent ...
Comments