Keogh, A., Mc Ardle, R., Diaconu, M. G., Ammour, N., Arnera, V., Balzani, F., Brittain, G., Buckley, E., Buttery, S., Cantu, A., Corriol-Rohou, S., Delgado-Ortiz, L., Duysens, J., Forman-Hardy, T., Gur-Arieh, T., Hamerlijnck, D., Linnell, J., Leocani, L., McQuillan, T., Neatrour, I., Polhemus, A., Remmele, W., Saraiva, I., Scott, K., Sutton, N., van den Brande, K., Vereijken, B., Wohlrab, M., Rochester, L., & Mobilise-D consortium (2023). Mobilizing patient and public involvement in the development of real-world digital technology solutions: Tutorial. Journal of Medical Internet Research, 25, e44206. https://doi.org/10.2196/44206
Tag: 2023
An investigation into various visualization tools for complex biological networks
Alzahrani, H. & Johansson Fernstad, S. (2023). An investigation into various visualization tools for complex biological networks. Information Visualization, 22(4), 323-339. https://doi.org/10.1177/14738716231181545
Estimating real-world walking speed from a single wearable device: Analytical pipeline, results and lessons learnt from the Mobilise-D technical validation study
Kirk, C., Kuederle, A., Mico-Amigo, M. E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Soltani, A., Gazit, E., Salis, F., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., Cereatti, A., Chiari, L., D’Ascanio, I., Garcia-Aymerich, J., Hansen, C., Hausdorff, J., Hiden, H., Hume, E., Keogh, A., Kluge, F., Koch, S., Maetzler, W., Megaritis, D., Mueller, A., Niessen, M., Palmerini, L., Schwickert, L., Scott, K., Sharrack, B., Sillen, H., Singleton, D., Vereijken, B., Vogiatzis, I., Yarnall, A., Rochester, L., Mazza, C., Eskofier, B., & Del Din, S. (2023). Estimating real-world walking speed from a single wearable device: Analytical pipeline, results and lessons learnt from the Mobilise-D technical validation study. https://doi.org/10.21203/rs.3.rs-2965670/v1
Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases
Romijnders, R., Salis, F., Hansen, C., Küderle, A., Paraschiv-Ionescu, A., Cereatti, A., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Bonci, T., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., Chiari, L., D’Ascanio, I., Del Din, S., Eskofier, B., Johansson Fernstad, S., Fröhlich, M. S., Garcia Aymerich, J., Gazit, E., Hausdorff, J. M., Hiden, H., Hume, E., Keogh, A., Kirk, C., Kluge, F., Koch, S., Mazzà, C., Megaritis, D., Micó-Amigo, E., Müller, A., Palmerini, L., Rochester, L., Schwickert, L., Scott, K., Sharrack, B., Singleton, D., Soltani, A., Ullrich, M., Vereijken, B., Vogiatzis, I., Yarnall, A., Schmidt, G., Maetzler, W. (2023). Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases. Frontiers in Neurology, 14, 1247532. https://doi.org/10.3389/fneur.2023.1247532
Tasks and Visualizations Used for Data Profiling: A Survey and Interview Study
Ruddle, R. A., Cheshire, J., & Johansson Fernstad, S. (2023). Tasks and Visualizations Used for Data Profiling: A Survey and Interview Study. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2023.3234337
Parallel Assemblies Plot, a visualization tool to explore categorical and quantitative data: Application to digital mobility outcomes
Cantu, A., Micó-Amigo, M. E., Del Din, S., & Fernstad, S. J. (2023). Parallel Assemblies Plot, a visualization tool to explore categorical and quantitative data: Application to digital mobility outcomes. 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), 21–30. https://doi.org/10.1109/PacificVis56936.2023.00010
Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
Micó-Amigo, M. E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Kirk, C., Soltani, A., Küderle, A., Gazit, E., Salis, F., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., Cereatti, A., Chiari, L., D’Ascanio, I., Eskofier, B., Fernstad, S., Froehlich, M., Garcia-Aymerich, J., Hansen, C., Hausdorff, J. M., Hiden, H., Hume, E., Keogh, A., Kluge, F., Koch, S., Maetzler, W., Megaritis, D., Mueller, A., Niessen, M., Palmerini, L., Schwickert, L., Scott, K., Sharrack, B., Sillén, H., Singleton, D., Vereijken, B., Vogiatzis, I., Yarnall, A. J., Rochester, L., Mazzà, C., & Del Din, S. (2023). Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium. Journal of NeuroEngineering and Rehabilitation, 20(1), 78. https://doi.org/10.1186/s12984-023-01198-5
