Gerenciamento e armazenamento de dados de sensores para a avaliação da doença de Parkinson: Uma revisão
Abstract
The increase of the population life expectancy caused, among other aspects, the increasing occurrence of neurodegenerative diseases, such as Parkinson’s disease (PD). In this sense, to improve the population quality of life, remote health monitoring services sensor-enabled are becoming more common. However, there are still some challenges regarding managing and storing the large amounts of data collected by these sensors. To address solutions to the above challenges, this article performs a literature systematic mapping. Through the results obtained, we observed a small number of articles with specific details on the topic.
Keywords:
life expectancy, diseases, Parkinson's, monitoring, system
References
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C. F. Gomes, T., C. Oliveira, E., C. Oliveira, L., et al. (2018). Aplicação de Realidade Virtual para Análise e Reabilitação de Pacientes com Doença de Parkinson.
Ciuti, G., Ricotti, L., Menciassi, A. and Dario, P. (2015). MEMS sensor technologies for human centred applications in healthcare, physical activities, safety and environmental sensing: A review on research activities in Italy. Sensors (Switzerland), v. 15, n. 3, p. 6441–6468.
Cooper, J., James, A. and Cooper Hildebrand, J. (2009). Challenges for Database Management in the Internet of Things Cooper J, James A - IETE Tech Rev. IETE Technical Review, v. 26, n. 5, p. 320–329.
Dickson, J. M. and Grünewald, R. A. (2004). Somatic symptom progression in idiopathic Parkinson’s disease. Parkinsonism and Related Disorders, v. 10, n. 8, p. 487–492.
Espay, A. J., Bonato, P., Nahab, F. B., et al. (2016). Technology in Parkinson’s disease: Challenges and opportunities. Movement Disorders, v. 31, n. 9, p. 1272–1282.
Farahani, B., Firouzi, F., Chang, V., et al. (2018). Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare. Future Generation Computer Systems, v. 78, p. 659–676.
Goetz, C. G., Fahn, S., Martinez-Martin, P., et al. (2007). Movement disorder society- sponsored revision of the unified Parkinson’s disease rating scale (MDS-UPDRS): Process, format, and clinimetric testing plan. Movement Disorders, v. 22, n. 1, p. 41–47.
Hallett, M. (2008). Overview of Human Tremor Physiology. Movement Disorders, v. 13, n. S3, p. 43–48.
Han, J., Kamber, M. and Pei, J. (2012). Data Preprocessing. Data Mining. Elsevier. p. 83–124.
Jordao, A., Nazare, A. C., Sena, J. and Schwartz, W. R. (2018). Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art. p. 1–11.
Milosevic, B. and Farella, E. (2017). Wireless MEMS for wearable sensor networks. Wireless MEMS Networks and Applications. Elsevier. p. 101–127.
Mohammadzadeh, N. and Safdari, R. (2018). Patient Monitoring in Mobile Health : Opportunities and Challenges Background : Methods : Results : Conclusions : v. 68, n. 1, p. 57–60.
Nguyen, H. H., Mirza, F., Naeem, M. A. and Nguyen, M. (2017). A review on IoT healthcare monitoring applications and a vision for transforming sensor data into real- time clinical feedback. Proceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design, CSCWD 2017, n. April, p. 257–262.
Nweke, H. F., Teh, Y. W., Mujtaba, G. and Al-garadi, M. A. (2019). Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions. Information Fusion, v. 46, n. June 2018, p. 147–170.
Perumal, S. V. and Sankar, R. (2016). Gait and tremor assessment for patients with Parkinson’s disease using wearable sensors. ICT Express, v. 2, n. 4, p. 168–174.
Rossi, B., Siciliano, G., Carboncini, M. C., et al. (1996). Muscle modifications in Parkinson’s disease: Myoelectric manifestations. Electroencephalography and Clinical Neurophysiology - Electromyography and Motor Control, v. 101, n. 3, p. 211–218.
Teshuva, I., Hillel, I., Gazit, E., et al. (2019). Using wearables to assess bradykinesia and rigidity in patients with Parkinson’s disease: a focused, narrative review of the literature. Journal of Neural Transmission, v. 126, n. 6, p. 699–710.
Yu, J., Kim, M., Bang, H. C., Bae, S. H. and Kim, S. J. (2016). IoT as a applications: cloud-based building management systems for the internet of things. Multimedia Tools and Applications, v. 75, n. 22, p. 14583–14596.
Published
2019-11-22
How to Cite
CANDEIRA, Daniel B.; OLIVEIRA, Fábio Henrique M. .
Gerenciamento e armazenamento de dados de sensores para a avaliação da doença de Parkinson: Uma revisão. In: REGIONAL SCHOOL ON INFORMATICS OF GOIÁS (ERI-GO), 7. , 2019, Goiânia.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
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p. 303-311.
