My now page
check My NOW page
Profesionaly it is better to check my LinkedIn and the most complete is my CV in pdf.
In 2002 I received my Music Examinations Degree in Piano, in the Conservatory of Valladolid (Spain).
I started Telecommunications Engineering at the University of Valladolid; in 2009 I received an M.Sc. in Telecommunications Eng. (UEM, Madrid). Between 2007-2009 I lived in Sweden, and received an M.Sc. in Biomedical Engineering in 2009 (Chalmers University of Technology, Goteborg), respectively. In 2009 I spent six months as an intern in the Medical Signal Processing Group at Phillips–Aachen. where I worked with thoracic BiomImpedance in the FP7 MyHeart project.
I started my first job in a multinational called Mach Connectivity GmbH (acquired by Syniverse) as an implementation Engineer and Service Manager. I switched quickly to Biomedical again, and started a developer in eHealth, at the Zentrum für Telematik e.V. (Germany) for the design of a home dialysis infrastructure for Fresenius Medical Care.
In 2011-2012 I was a fellow at the University of Valladolid, in the Group of
Biomedical Engineering in Magnetoencephalography (MEG).
I held a position as a researcher in the Personal Health Informatics
group in Tampere University of Technology (Finland).
During this time, I collaborated at PROTOMO (Start-up incubator in Tampere),
shorty at WERK1 (Start-up incubator in Munich),
and some additional collaborations.
I have been working in HUAWEI developing COOL wearable prototypes, sleep algorithms, testing photoplethysmography, etc.
(more details in my LinkedIn.
I have been also working shortly detecting breathing using video in Neuro Events Labs Oy, cool stuff!
Currently, I am Ph.D. candidate position as a fellow at Tampere University of Technology, Finland.
My supervisor is Jari Viik. He leads very nice
fundamental and innovative research in wound healing, heart, and of course breathing disorders.
The topic of my doctoral thesis is centered on sleep, unobtrusive sensors and mattress sensors (such as Beddit, Emfit (eletromechanical film transducer) mattres , Fitbit, Firstbeat, raw accelerometers, etc.). The thesis proposes several state-of-the-art methods for detecting snoring, breathing efforts, breathing patterns, and heart rate detection algorithms.
- Snoring detection
- Breathing disorders - Breathing efforts
- Heart beat detection
- Breathing evaluation using video and other signals
- Software I wrote to analyze EEG trends in intensive care patients, an ongoing project I am supporting a bit (2021) - When the time comes I share the Git Project.
- locally-informed: this is the only community project I have participated back in 2020. Updating information from Finland.