| 1. |
- Crema, C., et al.
(författare)
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Characterization of a wearable system for automatic supervision of fitness exercises
- 2019
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Ingår i: Measurement: Journal of the International Measurement Confederation. - : Elsevier BV. - 0263-2241. ; 147
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Tidskriftsartikel (refereegranskat)abstract
- It is widely known that physical activity is an effective tool for preventing several diseases. However, unsupervised training may lead to poor execution quality, resulting in ineffective training, or even injuries in worst cases. Automatic tracking and quantification of exercise efforts by means of wearables could be a way to monitor the execution correctness. As a positive side effect, these devices help in motivating people, increasing the quantity of physical exercises of users and thus improving health conditions as well. Unfortunately, despite the availability of some commercial devices, their performance and effectiveness are not documented. This work proposes a new solution that exploits machine learning (ML) techniques (in particular Linear Discriminant Analysis, LDA) for analyzing data coming from wearable Inertial Measurement Units (IMUs). Efforts have been done in reducing the computational requirements, in order to be compatible with constraints in perspective of embedded implementation. The experimental campaign carried out to measure the performance showed an average accuracy, recall and precision on the order of 97%, 93% and 90%, respectively. © 2019 Elsevier Ltd
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| 2. |
- Crema, C., et al.
(författare)
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IMU-based solution for automatic detection and classification of exercises in the fitness scenario
- 2017
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Ingår i: SAS 2017 - 2017 IEEE Sensors Applications Symposium, Proceedings. - : IEEE. - 9781509032020
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Konferensbidrag (refereegranskat)abstract
- Causal relationship between physical activity and prevention of several diseases has been known for some time. Recently, attempts to quantify dose-response relationship between physical activity and health show that automatic tracking and quantification of the exercise efforts not only help in motivating people but improve health conditions as well. However, no commercial devices are available for weight training and calisthenics. This work tries to overcome this limit, exploiting machine learning technique (particularly Linear Discriminant Analysis, LDA) for analyzing data coming from wearable inertial measurement units, (IMUs) and classifying/counting such exercises. Computational requirements are compatible with embedded implementation and reported results confirm the feasibility of the proposed approach, offering an average accuracy in the detection of exercises on the order of 85%.
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| 3. |
- Lunt, Daniel J., et al.
(författare)
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The DeepMIP contribution to PMIP4 : experimental design for model simulations of the EECO, PETM, and pre-PETM (version 1.0)
- 2017
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Ingår i: Geoscientific Model Development. - : Copernicus GmbH. - 1991-959X .- 1991-9603. ; 10:2, s. 889-901
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Tidskriftsartikel (refereegranskat)abstract
- Past warm periods provide an opportunity to evaluate climate models under extreme forcing scenarios, in particular high (>800 ppmv) atmospheric CO2 concentrations. Although a post hoc intercomparison of Eocene (similar to 50 Ma) climate model simulations and geological data has been carried out previously, models of past high-CO2 periods have never been evaluated in a consistent framework. Here, we present an experimental design for climate model simulations of three warm periods within the early Eocene and the latest Paleocene (the EECO, PETM, and pre-PETM). Together with the CMIP6 pre-industrial control and abrupt 4 x CO2 simulations, and additional sensitivity studies, these form the first phase of DeepMIP - the Deep-time Model Intercomparison Project, itself a group within the wider Paleo-climate Modelling Intercomparison Project (PMIP). The experimental design specifies and provides guidance on boundary conditions associated with palaeogeography, greenhouse gases, astronomical configuration, solar constant, land surface processes, and aerosols. Initial conditions, simulation length, and output variables are also specified. Finally, we explain how the geological data sets, which will be used to evaluate the simulations, will be developed.
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| 4. |
- Schrottmaier, Waltraud C., et al.
(författare)
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Platelet-stored antibodies potently diminish viral infection in vitro and in vivo
- 2019
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Ingår i: Acta Physiologica. - : John Wiley & Sons. - 1748-1708 .- 1748-1716. ; 227:S718, s. 187-187
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Besides their primary role in haemostasis, platelets are actively involved in immune responses as they respond to various inflammatory stimuli, including microbial infection. Further, platelets contain intracellular IgG, but their physiologic function remains unknown. Thus, we aimed to elucidate the function of platelet-derived IgGs and their effect on viral infections. Human and murine platelets contained IgG which were released upon shear stress. However, IgG loss did not correlate with P-Selectin exposure or CXCL4 release and α-granule deficient (Nbeal2-/-) platelets failed to show reduced IgG content and release, indicating an extragranular IgG storage site within platelets. While platelet IgG could derive from megakaryocytes that have taken up IgG from the bone marrow microenvironment, naïve platelets also took up IgG directly from plasma in vitro and in vivo. Murine platelets from anti-IAV IgG seropositive mice reduced IAV infection in vitro and in vivo more efficiently than plasma containing comparable IgG levels. Further, human platelets from anti-CMV IgG seropositive but not seronegative donors also potently neutralized in vitro CMV-infection of HUVEC under microvascular shear stress. Our data indicate that IgG storage in platelets may not be restricted to α-granules. Further, our results show that platelets have the potential to mediate potent IgG-mediated antiviral effects both in vitro and in vivo directly at foci of infection. This indicates that platelet-derived IgG may represent a yet unexplored mechanism for focused serological immunity.
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