Error measurements during virtual and real darts in patients with stroke: implications for neurological rehabilitation




Stroke; Physiotherapy; Virtual reality exposure therapy.


Objective: Perform a comparative analysis of error measurements after training with virtual and real darts. Methodology: The study included 15 stroke patients (10 men) and 12 healthy individuals (7 men). The virtual game used was Kinect Sports on the Xbox 360 Kinect®. Participants made 15 attempts at each game. Absolute (AE), constant (CE) and variable (VE) errors were calculated. Data analysis was performed using ANOVA. Results: A significant difference was observed between patients and healthy people in the virtual game (p = 0.003) and in the real game (p = 0.0001) for AE. There was difference in AE between virtual and real games for patients (p = 0.0001). In the EC, no significant difference was found between patients and healthy in the virtual game (p = 0.355) and in the real game (p = 0.544). There was also no difference in EC between virtual and real games for patients (p = 0.452). Through the analysis of the EV, there was no significant difference between patients and healthy people in the virtual game (p = 0.406), but there was in the real game (p = 0.0001). There was no significant difference in EV between virtual and real games for patients (p = 0.579). Conclusion: The results found indicated that the patients had less precision, greater consistency of errors and less variability in performance. The virtual game provided better results for patients compared to the real game, which can be of significant importance for the planning of motor rehabilitation of stroke patients.


Briggs, R. & O'Neill, D. (2016). Chronic Stroke Disease. Br J Hosp Med (Lond), 77(5), C66-9.

Costa, H., Fernandes, A., Oliveira, D., Brasileiro, J., Ribeiro, T., Vieira, E. & Campos, T. (2019). Intergame Analysis of Upper Limb Biomechanics of Stroke Patients in Real And Virtual Environment. In Mediterranean Conference on Medical and Biological Engineering and Computing. Springer, Cham, 610-17.

Elliott, D, Hansen, S., Grierson, L. E., Lyons, J., Bennett, S. J. & Hayes, S. J. (2010). Goal-Directed Aiming: Two Components but Multiple Processes. Psychological Bulletin, 136(6), 1023-44.

Godinho, M., Mendes, R., Melo, F., Matos, R., Barreiros, J. (2011). Controlo Motor e Aprendizagem: Trabalhos Práticos. 3. ed. Cruz Quebrada: Faculdade de Motricidade Humana Serviço de Edições.

Howard, M. C. (2017). A Meta-Analysis and Systematic Literature Review of Virtual Reality Rehabilitation Programs. Comput Hum Behav, 70, 317-27.

Lee, K. B., Lim, S. H., Kim, K. H., Kim, K. J., Kim, Y. R., Chang, W. N., Yeom J. W., Kim, Y. D. & Hwang, B. Y. (2015). Six-Month Functional Recovery of Stroke Patients: A Multi-Time-Point Study. Int J Rehabil Res, 38(2),173-80.

Lyden, P. (2017). Using the National Institutes of Health Stroke Scale: A Cautionary Tale. Stroke, 48(2), 513-19.

Maki, T., Quagliato, E. M. A. B., Cacho, E. W. A., Paz, L. P. S., Nascimento, N. H., Inoue, M. M. E. A. & Viana, M. A. (2006). Estudo de Confiabilidade da Aplicação da Escala de Fugl-Meyer no Brasil. Rev Bras Fisioter, 10(2), 177-83.

Massetti, T., da Silva. T. D., Crocetta, T. B., Guarnieri, R., de Freitas, B. L., Bianchi Lopes, P., Watson, S., Tonks, J. & de Mello Monteiro, C. B. (2018). The Clinical Utility of Virtual Reality in Neurorehabilitation: A Systematic Review. Cent Nerv Syst Dis, 27(10),1179573518813541.

Pereira, A. S. et al. (2018). Metodologia da pesquisa científica. [e-book]. Santa Maria. Ed. UAB/NTE/UFSM. Disponível em:

Pieruccini-Faria, F., Martens, K. A. E., Silveira, C. R., Jones, J. A. & Almeida, Q. J. (2014). Interactions Between Cognitive and Sensory Load while Planning and Controlling Complex Gait Adaptations in Parkinson’s Disease. BMC Neurology, 14, 250.

Ramos-Lima, M. J. M., Brasileiro, I. C., Lima, T. L. & Braga-Neto, P. (2018). Quality of Life after Stroke: Impact of Clinical and Sociodemographic Factors. Clinics (Sao Paulo), 8(73), e418.

Saposnik, G. & Levin, M. (2011). Virtual Reality in Stroke Rehabilitation: A Meta-Analysis and Implications for Clinicians. Stroke, 42, 1380-86.

Sardi, M. D., Schuster, R. C. & Alvarenga, L. F. C. (2012). Efeitos da Realidade Virtual em Hemiparéticos Crônicos Pós Acidente Vascular Encefálico. RBCS, 10(32), 29-35.

Schmidt, R. A. & Lee, T. D. (2016). Aprendizagem E Performance Motora: Dos Princípios À Aplicação. 5. ed. Porto Alegre: Artmed.

Soares, B.R., Souza, B. M., da Silva, K. C. C., Figueredo, R. C., Gonçalves, D. C. & Chaves, T. V. P. (2020). A Realidade Virtual na Reabilitação do Paciente com Sequelas de Acidente Vascular Encefálico: Uma Revisão Bibliográfica. RSD, 9(8), e734986253.

Southerland, A. M. (2017). Clinical Evaluation of the Patient with Acute Stroke. Continuum (Minneap Minn), 23(1, Cerebrovascular Disease), 40-61.

Subramanian, S. K., Baniña, M. C., Sambasivan, K., Haentjens, K., Finestone, H. M., Sveistrup, H. & Levin, M. F. (2020). Motor-Equivalent Intersegmental Coordination is Impaired in Chronic Stroke. Neurorehabil Neural Repair, 34, 210-21.

Subramanian, S. K., Lourenco, C. B., Chilingaryan, G., Sveistrup, H. & Levin, M. F. (2013). Arm Motor Recovery Using a Virtual Reality Intervention in Chronic Stroke: Randomized Control Trial. Neurorehabil Neural Repair, 27, 13-23.

World Health Organization. (2019). Health topics - Stroke, Cerebrovascular accident. Disponível em: < cerebrovascular_accident/en/>. Acesso em: 14 maio 2019.



How to Cite

Cruz, S. C. B. da, Borges, L. R. D. de M. ., Passos, J. O. dos ., Oliveira, D. C. de, Fernandes, A. B. G. S., & Campos, T. F. . (2020). Error measurements during virtual and real darts in patients with stroke: implications for neurological rehabilitation . Research, Society and Development, 9(9), e657997653.



Health Sciences