PSY2014M: The Rise of Consumer Health Wearables Dr David A. Ellis

PSY2014M: The Rise of Consumer Health Wearables

Dr David A. Ellis

Imagine

Example

The Rise (Google Ngrams)

Today

What can consumer wearables do?

Prevention & Diagnosis

• Depression, heart disease, diabetes – all require careful monitoring

• They can also be prevented (to an extent).• Chen et al (2014) Depression• Patel et al (2012) Parkinson Disease• Previous interventions have used PC’s (e.g.

Sleepio)

Can we rely on wearable-generated data?

• Medicines and Healthcare Products Regulatory Agency (MHRA)

• ‘products for sports and leisure purposes are not to be considered to be medical devices’

• Really?• Sports products

Reliability (in the news today!)

Reliability

Validity (BITalino)

Arduino

Cost

Into the Cloud

• You own nothing!• Fitbit • Strava• Anonymous data….

Digital Traces

• de Montjoye et al (2013)

Can they change behaviour?

• We don’t really know• Cause and effect• Pedometers (e.g. Bravata et al 2007)• What about harm?

Seminar task

• I want you to design and cost a wearable piece of technology that will help answer a specific research question.

• What will it be made of (BITalino + Arduino)• Will it involve a smartphone or computer?• How much will it cost?• What will the data look like?• How will this data answer your question?

References

• Bravata, D. M., Smith-Spangler, C., Sundaram, V., Gienger, A. L., Lin, N., Lewis, R., ... & Sirard, J. R. (2007). Using pedometers to increase physical activity and improve health: a systematic review. Jama, 298(19), 2296-2304.

• Chen, Z., Chen, Y., Hu, L., Wang, S., Jiang, X., Ma, X., ... & Campbell, A. T. (2014, September). ContextSense: unobtrusive discovery of incremental social context using dynamic bluetooth data. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication (pp. 23-26). ACM.

• de Montjoye, Y. A., Hidalgo, C. A., Verleysen, M., & Blondel, V. D. (2013). Unique in the Crowd: The privacy bounds of human mobility. Scientific reports,3.

• Patel, S., Park, H., Bonato, P., Chan, L., & Rodgers, M. (2012). A review of wearable sensors and systems with application in rehabilitation. Journal of neuroengineering and rehabilitation, 9(1), 21.

• Ritterband, L. M., & Thorndike, F. P. (2012). The further rise of internet interventions. Sleep, 35(6), 737.