Cookies Policy

The website of the University of Cádiz uses its own and third-party cookies to carry out analysis of use and measurement of traffic, as well as to allow the correct functioning in social networks, and in this way to improve your browsing experience.

If you want to configure cookies, press the button Customize Cookies. You can also access the cookie settings at any time from the corresponding link in the footer.

For more information about cookies you can consult the Cookies policy from the website of the University of Cádiz.

Cookies customization

The website of the University of Cádiz uses its own and third-party cookies to carry out analysis of use and measurement of traffic, as well as to allow the correct functioning in social networks, and in this way to improve your browsing experience.

For more information about cookies you can consult the Cookies policy from the website of the University of Cádiz. You can also access the cookie settings at any time from the corresponding link in the footer.

You can configure the website cookies according to their purpose:

  • Statistical analysis

    Third-party cookies (Google Analytics) are used on this site that allow the number of users to be quantified anonymously (personal data will never be obtained to identify the user) and thus be able to analyze the use made by users of our service, in order to improve the browsing experience and offer our content optimally.

  • Social networks

    Third-party cookies are used on this website that allow the proper functioning of some social networks (mainly YouTube and Twitter) without using any personal data of the user.

UniversidaddeCádiz
Artificial intelligence, smart sensing, and new physiological and environmental predictors for enhancing COPD management cicerone

Journal Publications

Sanchez-Morillo, D.; Sales-Lerida, D.; Priego-Torres, B.; León-Jiménez, A. Cough Detection Using Acceleration Signals and Deep Learning Techniques. Electronics 202413, 2410. https://doi.org/10.3390/electronics13122410

Indoor Environmental Telemonitoring for Improving the Management of Chronic Respiratory Diseases: a Systematic Review (Under Review)

 

 

Grant PID2021-126810OB-I00 funded by: