Joonas Paalasmaa

Work

2019-: Wolt, Helsinki, Finland.

2017-2019: Apple Health Technologies, Cupertino, CA, USA. Beddit was acquired by Apple.

2007-2017: CTO & Chief Scientist, Beddit, Espoo, Finland.

2001-2007: Research engineer etc, Nokia Research Center, Helsinki, Finland.

Projects

Computer Science PhD, University of Helsinki (thesis here). I developed unobtrusive sleep measurement methods that enable tracking sleep without wearable sensors.

Electronic Physiological Music, a bio-music art project. We measure biosignals such as heart rate and respiration and create music based on them in real time.

Sleep Musicalization. This was a collaboration between Beddit and University of Helsinki, where we built a system for turning Beddit sleep measurements into music, automatically. The project was featured widely in international media.

Publications:

Some of my publications are in Google Scholar. Pre-print PDFs available below.

Paalasmaa, J., 2014. Monitoring Sleep with Force Sensor Measurement. PhD thesis. Department of Computer Science, University of Helsinki.
download PDF

Paalasmaa, J., Toivonen, H. & Partinen, M., 2015. Adaptive Heartbeat Modeling for Beat-to-Beat Heart Rate Measurement in Ballistocardiograms. IEEE Journal of Biomedical and Health Informatics, 19(6), pp. 1945-1952.
download pre-print PDF – doi: 10.1109/JBHI.2014.2314144

Paalasmaa, J., Murphy, D. J. & Holmqvist, O., 2012. Analysis of Noisy Biosignals for Musical Performance. 11th International Symposium on Intelligent Data Analysis (IDA 2012). Lecture Notes in Computer Science 7619. pp. 241-252. Springer, Heidelberg.
download pre-print PDF – doi: 10.1007/978-3-642-34156-4_23

Tulilaulu, A., Paalasmaa, J., Waris, M. & Toivonen, H., 2012. Sleep Musicalization: Automatic Music Composition from Sleep Measurements. 11th International Symposium on Intelligent Data Analysis (IDA 2012). Lecture Notes in Computer Science 7619. pp. 392-403. Springer, Heidelberg.
download pre-print PDF – doi: 10.1007/978-3-642-34156-4_36 – sleepmusicalization.net

Paalasmaa, J., Waris, M., Toivonen, H., Leppäkorpi, L. & Partinen, M., 2012. Unobtrusive Online Monitoring of Sleep at Home. 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'12).
download pre-print PDF – doi: 10.1109/EMBC.2012.6346791

Paalasmaa, J., Leppäkorpi, L. & Partinen, M., 2011. Quantifying respiratory variation with force sensor measurements. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'11).
download pre-print PDF – doi: 10.1109/IEMBS.2011.6090773

Paalasmaa, J., 2010. A respiratory latent variable model for mechanically measured heartbeats. Physiological Measurement, 31(10), pp.1331-1344.
download pre-print PDF – doi: 10.1088/0967-3334/31/10/003

Paalasmaa, J. & Ranta, M., 2008. Detecting Heartbeats in the Ballistocardiogram with Clustering. Proceedings of the ICML/UAI/COLT 2008 Workshop on Machine Learning for Health-Care Applications, Helsinki, Finland.
download published PDF

Myllylä, T. & Paalasmaa, J., 2008. Mobile-Centric Approach for Mediating and Controlling Distributed Digital Content. 5th IEEE Consumer Communications and Networking Conference (CCNC 2008). pp. 1248-1249.
download published PDF – doi: 10.1109/ccnc08.2007.292

Paalasmaa, J., Partinen, M., 2012. A telemedicine solution based on a piezoelectric movement sensor for the long-term monitoring of sleep disorder patients. Poster in 21st Congress of the European Sleep Research Society. Paris, France, September 4-8, 2012.
download PDF

Some very old code:

arduino-ecg: an ECG heartbeat detector for Arduino devices

zephyr-bt: Python library for the Bluetooth protocol of Zephyr BioHarness and HxM devices