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Jose Maria Perez-Macias
Health Data Scientist - Biomedical data-science - Biosignal and Signal Procesing at Tampere University Hospital
Jose Maria Perez-Macias is a PhD candidate with a focus on health data analysis and signal processing, specializing in sleep and breathing events using extended polysomnographies.
His expertise lies in sleep studies, wearables, and applied health technologies, employing advanced algorithms, signal processing, statistical analyses, machine learning, and deep learning/neural networks.
Jose Maria has developed algorithms in PPG for wearable prototypes for heart rate, HRV, pulse oximetry, and sleep, along with hardware evaluation and testing.
He is skilled in analyzing various time series data, including sound and audio processing, ballistocardiography, accelerometers, PPG, bio-impedance, MEG, and EEGs, as well as video-images.
His work involves deriving non-apparent physiological signals to detect events like snoring and complex diagnoses such as abnormal heart beats and sleep apnea.
Jose Maria has authored and co-authored several journals and received recognition and grants from prestigious organizations like Nokia and Suomalainen Tiede Akatemia.
He has extensive experience working in research organizations across Europe and collaborations with prominent foundations and companies in the medical field.
His education includes a Doctor of Philosophy in Biomedical/Medical Engineering, M.Sc. degrees in Biomedical Engineering and Telecommunication Engineering, and various music and language studies.
Throughout his career, Jose Maria has held positions such as Research Fellow, Health Data Scientist, Tutkija, Industrial PhD Intern, and Researcher Ph.D. Student in several prominent institutions and companies.
