José Maria Pérez-Macías is looking for a permanent position in Helsinki, Finland. He has a PhD in biomedical signal processing and data science from Tampere University of Technology. His research focuses on sleep studies using various sensors and developing algorithms to detect sleep disorders. He has extensive experience in research organizations and currently works as an industrial PhD intern at Huawei Technologies in Helsinki evaluating wearable sensor performance.

1. José Maria Pérez-Macías
Current location – Helsinki Finland
Looking for a permanent position in Helisnki
+358 414 913 404 , jperezmacias@gmail.com
https://homepages.tuni.fi/jose.perez-macias
https://github.com/jperezmacias
LinkedIn
Profile
PhD’21 candidate in health data analysis and signal processing focused on sleep and breathing events using
extended polysomnographies. 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 sleep data, publish
outcomes, and build data analysis frameworks. Authored and co-authored several journals and
participated in extra-curricular group activities.
Focus in sleep studies, wearables, and applied health technologies. I have used and created 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, PPG, bio-impedance, and EEGs) and video-images (Intel RealSense) 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),
which in Audio terms is a pick-up sensor with a sampling frequency of 200Hz, so I analyze the body’s low
frequency vibrations.
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 in
collaboration with Fresenius Medical Care, Würzburg.
Education
Tampere University of Technology
Ph.D. in Biomedical Signal processing and Data Science
Tampere, Finland
2013 – Now
Chalmers University of Technology
M.Sc. in Biomedical Engineering
Göteborg, Sweden
2007 - 2009
European University of Madrid
M.Sc. in Telecommunication Engineering
Madrid, Spain
2005 - 2008
University of Valladolid
Telecommunication Engineering (transferred to Madrid)
Valladolid, Spain
2000 - 2004
Conservatory of Valladolid
Music Examinations Degree in Piano
Valladolid, Spain
1989 – 2002
The Hill School
Year abroad, 4th former
Pottstown, US
1997- 1998
Awards
Erasmus Scholarship award (Chalmers School of Technology – 2007)
University of Valladolid Fellowship 2011–2015
Suomalainen Tiedeakatemia* Scholarship awards 2015, 2016, 2017
Nokia Award 2017

3. Skills
Technical skills: machine audition, audio signal processing, statistical modelling, data analysis/deep
learning (SciPy, Tensorflow, Keras, and PyTorch), algorithms. My day to day now is Matlab and at a
Python scripting, writing, and reading.
Expertise: Expertise in medical devices, wearables, biomedical engineering, and finally data analysis
using machine learning, deep learning, and statistical models.
Writing and reading skills: wrote 4 conferences and 2 journals in the last 4 years. Wrote project
proposals for grants in 2011 (granted – 4years of funding), 2016, 2017, and 2018. I read journal articles
every day. Wrote research project proposals, received training on EU calls H2020.
Communication skills: president of Tampere Toastmasters (2020-2021), invited talks at Tampere
University Hospital—Clinical Neurophysiology Dept., invited at Tampere University course on
processing of BioSignals, Member of the Tampere Debate Team.
Collaboration skills: several co-authored articles with different Universities, Spain, US, and Finland.
Experience
Huawei Technologies (Helsinki), Helsinki Concept Lab.
Industrial PhD. Internship
Main responsible for sleep testing, PPG performance evaluation in wearable
devices.
Also, I act in the team as Biosignal and Detection Engineer supporting in various
tasks:
- Focused efforts on sensor monitoring and detection design and evaluation for
wearable products; e.g. biosensors, motion and health detection.
- Involved in the entire process, from sensor scouting, prototype design, to
development and verification within health-related monitoring and detection
domain, supporting other teams involved in the process.
- Advice give input about physiological monitoring, human physiology or
sensor technology; e.g. blood oxygen, blood glucose, electrocardiogram, heart
rate detection algorithms, electroencephalogram (EEG), EMG, sleep studies
(Full and Extended Polysomnographies).
- Evaluated of sensor hardware design (sensor components, analog front-end
physiological, and electrical signal conversion and processing), sensor
architecture, and electronic signal measurement.
- Design of test procedures and scripting.
- Algorithm design and evaluation for heatlh wearables, as well as their
evaluation.
- Extended reviews on the literature for algorithm development, and partner
product evaluation.
- Support in designing and developing sensor systems for wearable products.
- Participated in patent evaluation board committees.
- Generated the necessary documentation for Sleep studies and data protection
requirements for Clinical and Research studies (ISO 13485, MEDDEV 2.7/1 rev
4, ISO 14971).
Helsinki, Finland
Apr. 2020 – Jul.2021
Tampere University of Technology, Institute of Biosciences and Medical Engineering
& Tampere University Hospital, Department of Neurophysiology
Researcher and Ph.D. student
Wrote and won three research grants for 2016, 2017, 2018, and part 2019 from the
Suomalainen TiedeAkatemia. In recognition for my research output and results I
Tampere, Finland
Jan. 2016 – Now

4. was awarded the Nokia Award in 2017.
Researching new methods for sleep diagnosis using Ballistocardiography (BCG)
with PVDF (Beddit) and EMFi (Emfit Ltd.) film-type materials. My thesis focuses
on the development of algorithms with an Emfit (electro-mechanical film
transducer) sensor to detect heart, and breathing disorders during sleep, such as
snoring, apneas, etc.
Tampere University Hospital (TAYS)
Tutkija – Fisikko
Assist with everyday tasks on the Sleep Laboratory.
Tampere, Finland
Nov. – Dec. 19
Neuro Event Labs Oy
Data Science Researcher – Industrial Internship
Time-fixed assignment to conduct the needed tasks to finalize a research article
about breathing rhythm detection using Intel RealSense depth camera.
Tampere, Finland
Apr. – May 19
Tampere University Hospital (TAYS)
Tutkija – Fisikko
Assist with everyday tasks on the Sleep Laboratory.
Tampere, Finland
Jun.– Jul.2018
Tampere University of Technology
Research Fellow
Studied personal coaching systems for mobile health management. Modelled a
behavioural
intervention system for behaviour change. Design and data processing of a pilot
for sleep
monitoring using Fitbit One, Beddit, Firstbeat, and Traxmeet sensors.
Implementation of a WebApp to enable Registered Nutritionists to rate the food
images from “The Eatery.”
Tampere, Finland
Sep.2012 – Jan.2014
Department of Communications and Signal Processing, University of Valladolid
Research Fellow
Analyzed the human brain maturation in subjects from 7 to 84 years old using
nonlinear and frequency-based methods in magneto encephalographic
recordings (MEG). One journal was published and insightful conclusions as a
result of this study.
Valladolid, Spain
Oct.2011- Aug.2012
Zentrum für Telematik e.V.
Researcher
Designed a home dialysis infrastructure. Supervised a student iPhone App that
monitored energy consumption using Bluetooth, Wireless, and 3G.
Würzburg,
Germany
Apr.2011 –
Sep
t.2
01
2
Sabbatical
German Language immersion: Kapito Language School (Münster), and Goethe
Institute (Hamburg).
Germany
Jun.2010 –
Mar.2011
Mach Connectivity GmbH. (Now Syniverse)
Implementation Engineer and Service Manager for Telefonica Wholesaler (TIWS).
I sent the first SMS in Lesotho using a Satellite connection on their side! 50% of my
contract as an implementation engineer where I connected new clients to our
platform and supervised the agreed quality. The other 50% I was a service
manager for Telefonica Wholesaler, following F2F meetings, audio meetings,
maintaining our service to the clients, followed SLA (service level agreements),
and contracts in LatAm.
Würzburg,
Germany
Jan. – May 2010

5. Philips Research GmbH
Research Intern
Performed the analysis of the results from the European MyHeart project, I
analysed bio-impedance measurements, and coordinated a small trial to validate
variability of thoracic-impedance in healthy subjects. Textile electrodes, normal
electrodes (remove Hook-effect) and Cole-Cole modelling.
Aachen, Germany
Jul. – Dec 2009
Chalmers University of Technology
Student researcher
I created a software to estimate the wet surface of a hull for “draft estimation”
needed for ship construction. The system measured the wet areas through optical
methods.
Göteborg, Sweden
Jan 2008 – Jun 2009
Universia Holding S.L.
Intern programmer — Web development (full-stack)
I developed and maintained CERTICAP, a web-application for online courses and
certification. Universia Holding S.L. is the Bank Santander´s Social Foundation.
Madrid, Spain
Mar. – Aug 2007
General Motors Europe Holdings
Intern programmer — Web development (full-stack)
I researched and prototyped an online platform for future ACDelco garages.
Madrid, Spain
Jun. – Sep 2006
Instituto de Cirugía Plástica S.L. and ValoraCyl S.L.
IT Management, Webpage design and programming.
Valladolid, Spain
2001 – 2008
Publications
 Perez-Macias, J. M., Tenhunen M., Värri A., Himanen S-L, Viik J. Advanced Signal Processing
Techniques for Sleep-Disordered Breathing (SDB) Detection Using Emfit Mattress Sensor. The
Engineering in Medicine and Biology Conference (EMBC 2019)
 Perez-Macias, J. M., Tenhunen M., Värri A., Himanen S-L, Viik J. Detection of snores using source
separation on an Emfit signal. Journal of Biomedical and Health Informatics (accepted for
publication on 18- Sept-2017).
 JM Perez-Macias, J Viik, A Värri, SL Himanen, M Tenhunen. Time characteristics of prolonged
partial obstruction periods using an Emfit mattress. EMBEC & NBC 2017, 775-778 2017
 M Tenhunen, J Hyttinen, J Viik, JM Perez-Macias, SL Himanen. Detection and Assessment of
Sleep-Disordered Breathing with Emfit Mattress. EMBEC & NBC 2017, 173-176 2017
 Jose M. Perez-Macias, Sharath Adavanne, Jari Viik, Alpo Värri, Sari-Leena Himanen, and Mirja
Tenhunen. Assessment of support vector machines and convolutional neural networks to detect
snoring using Emfit mattress. The Engineering in Medicine and Biology Conference (EMBC 2017)
 Perez-Macias, J. M., Tenhunen M., Värri A., Himanen S-L, Viik J. Detection of snores using source
separation on an Emfit signal. Journal of Biomedical and Health Informatics
 Perez-Macias J., Pavel M., Korhonen I., Jimison H., Health monitoring data validation using a
linear discriminant classifier. Oshawa -IEEE EMBS International Student Conference – 2014.
 Perez-Macias J., Jimison H., Korhonen I., Pavel M., Comparative assessment of sleep quality -
estimates using home monitoring technology. Chicago - EMBC, 2014 Annual International
Conference of the IEEE.
 Turner-McGrievy, Helander E., Kaipainen K., Perez-Macias J., Korhonen I., The use of
crowdsourcing for dietary self-monitoring: Crowdsourced ratings of food pictures are

6. comparable to trained observers. Journal of the American Medical Informatics Association. (In
Press).
 Carlos Gómez, Jose M. Pérez-Macías, Jesús Poza, Alberto Fernández, Roberto Hornero, "Spectral
changes in spontaneous MEG activity across the lifespan", Journal of Neural Engineering, vol. 10,
6, pp. 066006, October, 2013.
Academic activity
- Reviewer in Academic Conferences.
- Reviewer in Academic Journals
Supervision
Thesis supervision of Severi Friman, March-current 2021

7. Post-graduate Courses
BMT-57408 2019-01 Standards, Interoperability and Regulations in Health Informatics (5 ects). Alpo Värri
Certificate on: Regulatory Essentials in Health Tech training series by Lean Entries and Business Tampere
Medical device regulations in EU, USA & rest of the world
Regulatory focus in early development stages
Quality Management System requirements (ISO 13485)
Introduction to Clinical Evaluation (MEDDEV 2.7/1 rev 4)
Introduction to Risk Management (ISO 14971)
Design Controls and Regulatory Environment
Medical Device Software (IEC 62304)
Usability (IEC 62366) and Labelling
Clinical Evaluation in practice (MEDDEV 2.7/1 rev 4)
Risk Management in practice (ISO 14971)
Currently taking certification on Coursera of Tensorflow Specialization offered by deeplearning.ai
Coursera DeepLearning Specialization (5 modules).
Advanced Audio Signal Processing — Tuomas Virtanen 2018 (Deep Neural Networks for Audio)
Advanced Signal Processing — Ioan Tabus 2019
Analysis of Audio, Speech and Music signals – Pasi Pertilä 2017 (Audio, HMMs, ..)
Machinery Diagnostics – Juha Miettinen 2017
Modeling of Physiological Systems – Jari Hyttinen 2016
Signal Processing Doctoral Seminar - Sparse systems – Alessandro Foi 2016
Computational Diagnostics –Frank Emmert-Streib 2017
Audio and Speech Processing – Annamaria Mesaros 2016 (Source separation)
Online CAPM® & PMP® course – coit.es 2015
Wireless sensor networks, low powered sensor network architecture – TUT 2015
Knowledge Mining and Big Data – TUT 2015
Machine Learning – TUT 2015
Signal interpretation methods – Machine Learning – TUT 2015
Processing of Biosignals – TUT 2015
Behavioral Informatics and Computational Modeling (M. Pavel & H. Jimison – TUT 2015
Media Services - IoT, PaaS, Sas, Streaming, http2, media ecosystems, IoT platforms – TUT 2015.
User Interface Design ( TUT 2015)
Cognitive Modeling with ACT-R by Dario Salvucci – University of Jyvaskyla - 2013
Advanced Methods for Classification of Big High Dimensional Data by Amir Averbuch - 2013
Short Course on Robust Statistics by David E. Tyler – Aalto University June 2013
Databases in Systems Biology and Bioinformatics – TUT May 2013
Computational Models in Complex Systems – TUT 2013
High-Level Entity Relationship Modelling by Bernhard Thalheim – University of Jyvaskyla - 2013