Article

The design and evaluation of personalised ambient mental health monitors

Authors:

J. M. Blum,

E. H. MagillAuthors Info & Claims

CCNC'10: Proceedings of the 7th IEEE conference on Consumer communications and networking conference

Pages 481 - 485

Published: 09 January 2010 Publication History

Abstract

Mobile and environmental sensing technology can be used to assess human behaviour and mental health trajectories outside of laboratories and in ecologically-relevant settings. To achieve maximum benefit, the set of equipment and the monitoring patterns must be personalised to respect individual needs and fit into individual lifestyles.

We have developed a sensor network infrastructure for mobile phones and homecare using a rule-oriented programming architecture to monitor the activity signatures of people with Bipolar Disorder (BD). We believe that the use of this rule-based paradigm within the network for a mental health setting to be a contribution of this work.

We are evaluating the effectiveness of the technology in an ongoing technical trial with control participants as a precursor to studying the effectiveness of the system for use with people with BD. In this paper, we report the design and development of the monitoring system along with preliminary findings from the technical trial of the system, and discuss future developments.

References

[1]

U.W. Ebner-Priemer, and T.J. Trull, "Ambulatory Assessment - An Innovative and Promising Approach for Clinical Psychology" European Psychologist, vol. 14, pp. 109-119, 2009.

Google Scholar

[2]

J. Blum and E.H. Magill, "M-Psychiatry: Sensor Networks for Psychiatric Health Monitoring," PGNET 2008: The 9th Annual Postgraduate Symposium on The Convergence of Telecommunications, Networking and Broadcasting. Liverpool, June, 2008.

Google Scholar

[3]

"S60 platform overview", http://www.forum.nokia.com/main/platforms/s60/. accessed August, 2009.

Google Scholar

[4]

"mProlog: Lightweight PROLOG Engine" website, http://www.cs.uu.nl/3apl-m/mprolog.html. last accessed August, 2009.

Google Scholar

[5]

U.W. Ebner-Priemer and G. Sawitzki, "Ambulatory Assessment of Affective Instability in Borderline Personality Disorder - The Effect of the Sampling Frequency," vol. 23(4), pp. 238-247, 2007.

Google Scholar

[6]

U.W. Ebner-Priemer et al., "Psychophysiological ambulatory assessment of affective dysregulation in borderline personality disorder," Psychiatry Research, vol. 150(3), pp. 265-275, 2007.

Crossref

Google Scholar

[7]

S. Lane, N. Heddle, E. Arnold, and I. Walker, "A review of randomized controlled trials comparing the effectiveness of hand held computers with paper methods for data collection," BMC Medical Informatics and Decision Making, vol. 6, May 2006.

Google Scholar

[8]

J. Fahrenberg, "Assessment in daily life. A Review of Computer-assisted Methodologies and Applications in Psychology and Psychophysiology (years 2000 - 2005)." website, http://www.ambulatory-assessment.org, last accessed September, 2009.

Google Scholar

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Elmisery ARho SAborizka M(2019)A new computing environment for collective privacy protection from constrained healthcare devices to IoT cloud servicesCluster Computing10.1007/s10586-017-1298-122:1(1611-1638)Online publication date: 1-Jan-2019
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Sundarasekar RThanjaivadivel MManogaran GKumar PVaratharajan RChilamkurti NHsu C(2018)Internet of Things with Maximal Overlap Discrete Wavelet Transform for Remote Health Monitoring of Abnormal ECG SignalsJournal of Medical Systems10.1007/s10916-018-1093-442:11(1-13)Online publication date: 1-Nov-2018
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CCNC'10: Proceedings of the 7th IEEE conference on Consumer communications and networking conference

January 2010

1212 pages

ISBN:9781424451753

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IEEE Press

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Published: 09 January 2010

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Elmisery ARho SAborizka M(2019)A new computing environment for collective privacy protection from constrained healthcare devices to IoT cloud servicesCluster Computing10.1007/s10586-017-1298-122:1(1611-1638)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1007/s10586-017-1298-1
Sundarasekar RThanjaivadivel MManogaran GKumar PVaratharajan RChilamkurti NHsu C(2018)Internet of Things with Maximal Overlap Discrete Wavelet Transform for Remote Health Monitoring of Abnormal ECG SignalsJournal of Medical Systems10.1007/s10916-018-1093-442:11(1-13)Online publication date: 1-Nov-2018
https://dl.acm.org/doi/10.1007/s10916-018-1093-4
Matthews MMurnane ESnyder JGuha SChang PDoherty GGay G(2017)The double-edged swordComputers in Human Behavior10.1016/j.chb.2017.05.00975:C(288-300)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1016/j.chb.2017.05.009
Matthews MVoida SAbdullah SDoherty GChoudhury TIm SGay GBoring SRukzio EGellersen HHinckley K(2015)In Situ Design for Mental IllnessProceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/2785830.2785866(86-97)Online publication date: 24-Aug-2015
https://dl.acm.org/doi/10.1145/2785830.2785866
Alvarez-Lozano JOsmani VMayora OFrost MBardram JFaurholt-Jepsen MKessing LMakedon FClements MPelachaud CKalogeraki VMaglogiannis I(2014)Tell me your apps and I will tell you your moodProceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2674396.2674408(1-7)Online publication date: 27-May-2014
https://dl.acm.org/doi/10.1145/2674396.2674408
Osmani VMaxhuni AGrünerbl ALukowicz PHaring CMayora OMayrhofer RChen LSteinbauer MKotsis GKhalil I(2013)Monitoring activity of patients with bipolar disorder using smart phonesProceedings of International Conference on Advances in Mobile Computing & Multimedia10.1145/2536853.2536882(85-92)Online publication date: 2-Dec-2013
https://dl.acm.org/doi/10.1145/2536853.2536882

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Towards personalised ambient monitoring of mental health via mobile technologies

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Computing in Mental Health

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