Jose Perez-Macias Martin
About me
Ph.D. candidate in health data analysis. Health Scientist with proven track of publications, recognized in the Nokia 2017 Awards and won 3 full year grants in 2016, 2017, and 2018 by the Suomalainen Tiede Akatemia. I dig into health data, publish outcomes, build data analysis frameworks. Authored and co-authored several journals and participated in extra-curricular group activities such as debate and improv theater.
Expert in sleep studies, wearables, and applied health technologies. I use advanced algorithms, signal processing, and data science (statistical analyses, machine learning, and deep learning/neural networks) on time series (sound and audio processing, Ballistocardiography, Accelerometers, and EEGs) and images to derive non-apparent physiological signals, to detect relevant events such as snoring or sleep positions, or complex diagnosis such as specific breathing disorders like abnormal heart beats, sleep apnea, or asthma. My thesis verses on state-of-the-art algorithms for ballistocardiography (BCG) obtained a bed mattress sensor (Emfit).
Extensive working experience in research organizations such as Philips Research (Germany), Chalmers School of Technology (Sweden) and SSPA Sweden AB, Tampere University Hospital (TAYS), Tampere University of Technology (Finland), University of Valladolid (Spain), and two foundations in Germany, Würzburg.
Research topics
Sleep Research, Ballistocardiography