| Cardiovascular load assessment in the workplace: A systematic review M Dias, L Silva, D Folgado, ML Nunes, C Cepeda, M Cheetham, ... International Journal of Industrial Ergonomics 96, 103476, 2023 | 23 | 2023 |
| Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches H Narotamo, M Dias, R Santos, AV Carreiro, H Gamboa, M Silveira Biomedical Signal Processing and Control 93, 106141, 2024 | 18 | 2024 |
| Respiratory inductance plethysmography to assess fatigability during repetitive work L Silva, M Dias, D Folgado, M Nunes, P Namburi, B Anthony, D Carvalho, ... Sensors 22 (11), 4247, 2022 | 11 | 2022 |
| Cardiovascular reactivity (CVR) during repetitive work in the presence of fatigue D Carvalho, L Silva, M Carvalho, M Dias, N Costa, D Folgado, M Nunes, ... Intell. Hum. Syst. Integr.(IHSI 2023) Integr. People Intell. Syst 69, 69, 2023 | 5 | 2023 |
| Cleaning ECG with Deep Learning: A Denoiser Tested in Industrial Settings M Dias, P Probst, L Silva, H Gamboa SN Computer Science 5 (6), 699, 2024 | 3 | 2024 |
| Cleaning ECG with Deep Learning: A Denoiser Based on Gated Recurrent Units M Dias, P Probst, L Silva, H Gamboa Doctoral Conference on Computing, Electrical and Industrial Systems, 149-160, 2023 | 1 | 2023 |
| Cardiorespiratory Response to Workload Volume and Ergonomic Risk: Automotive Assembly Line Operators’ Adaptations D Furk, L Silva, M Dias, C Fujão, P Probst, H Liu, H Gamboa Applied Sciences 14 (9), 3921, 2024 | | 2024 |
| Cardiorespiratory Adaptations to Work Volume on an Automobile Assembly Line. D Furk, L Silva, M Dias, P Probst, H Gamboa BIOSTEC (1), 71-81, 2024 | | 2024 |
