BioBeats is an adaptive media company.
They build technologies that respond to physiologic data and learn from how you interact with them, to help people live more engaging, healthier lives.
They are currently developing applications for entertainment, consumer health and wellness and clinical medicine.
Link to video: https://youtu.be/JqkUZPR4-9k
https://biobeats.com/
2. BioBeats is building the largest corpus of real-time data to deliver
preventative mental health.
➔ 3 clinical trials with BUPA, AXA and UK Government: published evidence in leading
journals
➔ Based at the University of Oxford’s Biomedical Engineering and Experimental Psychology
departments.
➔ Team:
◆ David Plans (neuroscience+ai intervention design, DPhil @ Oxford)
◆ Davide Morelli (ai+ml implementation, DPhil @ Oxford)
◆ Nadeem Kassam (exited Basis to Intel for $100M)
◆ Profs. Clifton and Bird (Oxford bio and experimental psychology)
◆ 9 MSc and PhD-level ML and compsci developers
3. modelmodel
A Unified Computational Model (UCM) for Physiological, Neurological and Psychological Stress
BioBeats
Computational
Model for
Stress
(UCM)
PhysiologicalPsychological Neurological
1. Smartphone and wearable
collect data on your
Psychological, Physiological
and Neurological wellbeing.
2. UCM compares individual
users to the Biobeats
database.
3. UCM delivers personalised
interventions to help the user
and dashboards to track
progress.
Measure
Monitor
Help
4. 23%
stress reduction
within 15 minutes
Reduction of stress whilst using app:
Averagephysiologicalstress
Time (minutes)
The Largest Workplace Stress Pilot:
BNP Paribas 600 Participants
● Showed that BioBeats can actively
reduce stress in the workplace.
● Showed link between taking work
home and signs of cardiovascular
disease.
● Published results in #1 neuroscience
journal.
ExampleB2BDeployment
Of Human
Neuroscience Journal
The Association between
Work-Related Rumination and
Heart Rate Variability:
A Field Study (JAN 31 ‘17)
5. BioBase app from BioBeats
We collect wellbeing data
➜ From wearables: biometric data, gps, accelerometer
➜ Using the BioBase App: psychological,
physiological and neurological tests
We make sense of it
➜ Our machine learning algorithms understand and
interpret the context of an individual’s stress profile
We provide intelligent feedback
➜ Our algorithms then use context models
to offer personalised support and
interventions to improve wellbeing
BioBaseapp
5
7. List of publications
listofpublications
1. Inceoglu, Ilke, Thomas, Geoff, Chu, Chris Wai
Lung, Plans, David and Gerbasi, Alexandra,
“Leadership behavior and employee well-being:
An integrated review and a future research
agenda” The Leadership Quarterly (2018,
accepted). Read >
2. Morelli D., Bartoloni L., Colombo M., Plans D.,
Clifton D., “Profiling the Propagation of Error
from PPG to HRV Features in a Wearable
Physiological-Monitoring Device”. Institute of
Engineering and Technology, Healthcare
Technology Letters, doi: 10.1049/htl.2017.0039.
Read >
3. Cropley M., Plans D., Morelli D., Sutterlin S.,
Inceoglu I., Thomas G., Chu C., “The Association
between Work-Related Rumi- nation and Heart
Rate Variability: A Field Study”, Frontiers in
Human Neuroscience, p.27, volume 11, 2017.
Read >
4. Bacciu D, Colombo M, Morelli D, Plans D. (2017)
“ELM Preference Learning for Physiological
Data. Proceedings of the European Symposium
on Artificial Neural Networks, Computational
Intelligence and Machine Learning. (ESANN’17)”.
ESANN 2017 proceed- ings, Bruges, Belgium:
ESANN 2017, Computational Intelligence and
Machine Learning, pp. 99-104. Read >