CENTRO-01-0247-FEDER-070107 • [SENSOMATT] a prototype solution for monitoring, predicting, and preventing pressure ulcers

Duration: 2021-2023 CISeD Team Members: Arlindo Ferreira Silva Fernando Reinaldo Ribeiro Filipe Fidalgo José Carlos Metròlho Rogério Dionisio Funding: CENTRO2020 PORTUGAL2020 UNIÃO EUROPEIA Fundo Europeu De Desenvolvimento Regional

CENTRO-01-0247-FEDER-070107 • [SENSOMATT] a prototype solution for monitoring, predicting, and preventing pressure ulcers Read More »

Literature Review of Machine-Learning Algorithms for Pressure Ulcer Prevention: Challenges and Opportunities

Ribeiro, F., Fidalgo, F., Silva, A., Metrôlho, J. C., Santos, O., Dionisio, R. (2021). Literature Review of Machine-Learning Algorithms for Pressure Ulcer Prevention: Challenges and Opportunities. Informatics, 8(4), 76. https://doi.org/10.3390/informatics8040076

Literature Review of Machine-Learning Algorithms for Pressure Ulcer Prevention: Challenges and Opportunities Read More »

VeraTech • Integração sensores e Business Intelligence em amendoal na Beira Interior2023

Duration: 2021-2023 CISeD Team Members: Ângela Oliveira Fernando Reinaldo Ribeiro Filipe Fidalgo José Carlos Metròlho Rogério Dionisio Funding: PDR2020 PORTUGAL2020 UNIÃO EUROPEIA Fundo Europeu Agrícola de Desenvolvimento Rural

VeraTech • Integração sensores e Business Intelligence em amendoal na Beira Interior2023 Read More »

Literature review of location-based mobile games in education: Challenges, impacts and opportunities

Ribeiro, F. R., Silva, A., Silva, A. P., Metrôlho, J. (2021). Literature review of location-based mobile games in education: Challenges, impacts and opportunities. Informatics, 8(3), 43. https://doi.org/10.3390/informatics8030043

Literature review of location-based mobile games in education: Challenges, impacts and opportunities Read More »

Data acquisition of timed-up and go test with older adults: accelerometer, magnetometer, electrocardiography and electroencephalography sensors’ data

Ponciano, V., Pires, I. M., Ribeiro, F. R., Garcia, N. M. (2020). Data acquisition of timed-up and go test with older adults: accelerometer, magnetometer, electrocardiography and electroencephalography sensors’ data. Data in Brief, 32, 106306. https://doi.org/10.1016/j.dib.2020.106306

Data acquisition of timed-up and go test with older adults: accelerometer, magnetometer, electrocardiography and electroencephalography sensors’ data Read More »

Sensors are Capable to Help in the Measurement of the Results of the Timed-Up and Go Test? A Systematic Review

Ponciano, V., Pires, I.M., Ribeiro, F.R. et al. (2020). Sensors are Capable to Help in the Measurement of the Results of the Timed-Up and Go Test? A Systematic Review. Journal of Medical Systems, 44, 199. https://doi.org/10.1007/s10916-020-01666-8

Sensors are Capable to Help in the Measurement of the Results of the Timed-Up and Go Test? A Systematic Review Read More »

Is The Timed-Up and Go Test Feasible in Mobile Devices? A Systematic Review

Ponciano, V., Pires, I. M., Ribeiro, F. R., Marques, G., Garcia, N. M., Pombo, N., Spinsante, S., Zdravevski, E. (2020). Is The Timed-Up and Go Test Feasible in Mobile Devices? A Systematic Review. Electronics, 9(3), 528. https://doi.org/10.3390/electronics9030528

Is The Timed-Up and Go Test Feasible in Mobile Devices? A Systematic Review Read More »

Identification of Diseases Based on the Use of Inertial Sensors: A Systematic Review

Ponciano, V., Pires, I., Ribeiro, F., Marques, G., Garcia, N. M., Zdravevski, E., Spinsante, S (2020). Identification of Diseases Based on the Use of Inertial Sensors: A Systematic Review. Electronics, 9(5), 778. https://doi.org/10.3390/electronics9050778

Identification of Diseases Based on the Use of Inertial Sensors: A Systematic Review Read More »

Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults

Ponciano, V., Pires, I. M., Ribeiro, F. R., Villasana, M. V., Crisóstomo, R., Teixeira, M. C., Zdravevski, E. (2020). Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults. Sensors, 20(12), 3481. https://doi.org/10.3390/s20123481

Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults Read More »

Machine Learning Techniques with ECG and EEG Data: An Exploratory Study

Ponciano, V., Pires, I. M., Ribeiro, F. R., Garcia, N, M., Villasana, M. V., Zdravevski, E., Lameski, P. (2020). Machine Learning Techniques with ECG and EEG Data: An Exploratory Study. Computers, 9(3), 55. https://doi.org/10.3390/computers9030055

Machine Learning Techniques with ECG and EEG Data: An Exploratory Study Read More »

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