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Artificial Intelligence for Human Wellbeing
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
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
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)
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
In-app dashboard
InappdashboardsDashboard
6
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 >
8
Interoception
Building somatic awareness for
stress resilience could be the most
impactful pathway of research in
the psychophysiology of stress.
9
Why?
Because we need real-time algorithmic
classification of socio-emotional
competence
10
Why?
If atypical interoception leads to
decreased socio-emotional
competence, improving
interoception could improve it.
11
The Old
12
The New
13
The hypothesis(or prediction)
If we improve interoception,
we will see an improvement
in empathy+resilience
Research
Interoception can help us measure resilience
15
Research
ACC and neural systems linked to interoception could be
linked to ability to perform under stress.
16
Research
We need a better understanding of facets contributing to low
stress resilience so we can create biomarkers of change.
17
Research
Interoception training could lead to better emotional
intelligence
18
Thank you.

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Nadeem Kassam & David Plans. BioBeats. Bio-Signals: HRV and Mental States, Large Study Results

  • 1. Artificial Intelligence for Human Wellbeing
  • 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 >
  • 9. Building somatic awareness for stress resilience could be the most impactful pathway of research in the psychophysiology of stress. 9
  • 10. Why? Because we need real-time algorithmic classification of socio-emotional competence 10
  • 11. Why? If atypical interoception leads to decreased socio-emotional competence, improving interoception could improve it. 11
  • 14. The hypothesis(or prediction) If we improve interoception, we will see an improvement in empathy+resilience
  • 15. Research Interoception can help us measure resilience 15
  • 16. Research ACC and neural systems linked to interoception could be linked to ability to perform under stress. 16
  • 17. Research We need a better understanding of facets contributing to low stress resilience so we can create biomarkers of change. 17
  • 18. Research Interoception training could lead to better emotional intelligence 18