Imperial College London
Alternate

MrDaveTaylor

Faculty of Engineering, Institute for Security Science & Technology

Honorary Principal Research Fellow
 
 
 
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Contact

 

+44 (0)7906 160 620david.taylor Website

 
 
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Location

 

Queen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Taylor:2016:10.3233/978-1-61499-625-5-414,
author = {Taylor, D and Murphy, J and Ahmad, M and Purkayastha, S and Scholtz, S and Ramezani, R and Vlaev, I and Blakemore, AI and Darzi, A},
doi = {10.3233/978-1-61499-625-5-414},
pages = {414--416},
publisher = {IOS Press},
title = {Quantified-self for obesity: physical activity behaviour sensing to improve health outcomes},
url = {http://dx.doi.org/10.3233/978-1-61499-625-5-414},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Physical activity levels in bariatric patients have not been well documented, despite their importance in maintaining weight loss following surgery. This study investigated the feasibility of tracking physical activity using a smartphone app with minimal user interaction. Thus far, we have obtained good quality data from 255 patients at various points in their weight loss journey. Preliminary analyses indicate little change in physical activity levels following surgery with pre-surgery patients reaching an average of 16 minutes per day and post-surgery patients achieving a daily average of 21 minutes. Further analyses using machine-learning techniques will be conducted to determine whether physical activity is a critical factor in distinguishing between successful and unsuccessful weight loss outcomes and in the resolution of comorbid conditions in patients with similar clinical profiles.
AU  - Taylor,D
AU  - Murphy,J
AU  - Ahmad,M
AU  - Purkayastha,S
AU  - Scholtz,S
AU  - Ramezani,R
AU  - Vlaev,I
AU  - Blakemore,AI
AU  - Darzi,A
DO  - 10.3233/978-1-61499-625-5-414
EP  - 416
PB  - IOS Press
PY  - 2016///
SN  - 1879-8365
SP  - 414
TI  - Quantified-self for obesity: physical activity behaviour sensing to improve health outcomes
UR  - http://dx.doi.org/10.3233/978-1-61499-625-5-414
UR  - http://hdl.handle.net/10044/1/36943
ER  -
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