Damiano Fruet's research while affiliated with Università degli Studi di Trento and other places
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Publications (8)
Performance in downhill road cycling is understudied. Tools that can be used to assess the cyclists’ cornering strategies ecologically and objectively are missing. A new methodology based on motion capture and mathematical modelling is presented here. A drone was used to capture the trajectory of the centre of mass of a cyclist, who was asked to co...
The recovery of motion abilities after a physical or neurological trauma is a long and winding road that is usually supported by medical staff. In particular, occupational therapists (OTs) play a fundamental role in assessing the performances of patients in daily life tasks and suggesting better practices and aids. The goal of OTs is to promote the...
This manuscript deals with the development of a generative model trained to create realistic cardiopulmonary test data. The model consists in a conditional generative adversarial neural network. The model can be used to generate an infinite number of fake-but-realistic cardiopulmonary tests. The generated samples can be used in a variety of differe...
Citations
... To the best of the author's knowledge, CPET data generation counts only one example in the scientific literature. Zignoli et al. [17] developed a conditional generative adversarial neural network (cGAN) to re-create a window of pre-selected CPET variables corresponding to an intensity-specific pattern. • Third, the explanation of the why behind the detection of an exercise threshold. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/272813357531150-1442055181411_Q64/Andrea-Zignoli.jpg)
