POCH-04-5267-FSE-000818 • Qualidade dos sistemas de ensino e formação de ensino não superior – Formação de docentes e outros agentes de educação e formação

Investigador Responsável: Susana Amante Membros da Equipa do CISeD: Isabel Oliveira Rui Pedro Duarte Duração: 2020 – 2023 Entidades financiadoras: Fundo Social Europeu, Compete2020 O projeto de Formação de docentes e outros agentes de educação e formação tem por base a capacitação para a co-criação de inovação de docentes do ensino superior politécnico e profissional. […]

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POCI-01-0247-FEDER-048183 [SMARTCUT] Diagnóstico e Manutenção Remota e Simuladores para Formação de operação e manutenção de Máquinas Florestais

CISeD Team Members: Rogério Dionísio Duration: 2020-2023 Funding: COMPETE2020 PORTUGAL2020 UNIÃO EUROPEIA Fundo Europeu de Desenvolvimento Regional

POCI-01-0247-FEDER-048183 [SMARTCUT] Diagnóstico e Manutenção Remota e Simuladores para Formação de operação e manutenção de Máquinas Florestais Read More »

Development of a Smart Gateway for a Label Loom Machine using Industrial IoT Technologies

Dionisio, R., Malhao, S., Torres, P. (2020). Development of a Smart Gateway for a Label Loom Machine using Industrial IoT Technologies. International Journal of Online and Biomedical Engineering (iJOE), 16(04), 6-14. https://doi.org/10.3991/ijoe.v16i04.11853

Development of a Smart Gateway for a Label Loom Machine using Industrial IoT Technologies 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

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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 »

Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test

Ponciano, V., Pires, I. M., Ribeiro, F. R., Villasana, M. V., Teixeira, M. C., Zdravevski, E. (2020). Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test. Computers, 9(3), 67. https://doi.org/10.3390/computers9030067

Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test Read More »

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