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Items: 8

1.

Wearable Sensors for Measuring Movement in Short Sessions of Mindfulness Sitting Meditation: A Pilot Study.

Rodriguez VH, Medrano CT, Plaza I.

J Healthc Eng. 2018 May 7;2018:7275049. doi: 10.1155/2018/7275049. eCollection 2018.

2.

Combining novelty detectors to improve accelerometer-based fall detection.

Medrano C, Igual R, García-Magariño I, Plaza I, Azuara G.

Med Biol Eng Comput. 2017 Oct;55(10):1849-1858. doi: 10.1007/s11517-017-1632-z. Epub 2017 Mar 1.

PMID:
28251444
3.

The Effect of Personalization on Smartphone-Based Fall Detectors.

Medrano C, Plaza I, Igual R, Sánchez Á, Castro M.

Sensors (Basel). 2016 Jan 18;16(1). pii: E117. doi: 10.3390/s16010117.

4.

A comparison of public datasets for acceleration-based fall detection.

Igual R, Medrano C, Plaza I.

Med Eng Phys. 2015 Sep;37(9):870-8. doi: 10.1016/j.medengphy.2015.06.009. Epub 2015 Jul 29.

PMID:
26233258
5.

The efficacy and pattern of use of a computer-assisted programme for the treatment of anxiety: a naturalistic study using mixed methods in primary care in Spain.

Herrera-Mercadal P, Montero-Marin J, Plaza I, Medrano C, Andrés E, López-Del-Hoyo Y, Gili M, García-Campayo J.

J Affect Disord. 2015 Apr 1;175:184-91. doi: 10.1016/j.jad.2014.12.060. Epub 2015 Jan 9.

PMID:
25636155
6.

Detecting falls as novelties in acceleration patterns acquired with smartphones.

Medrano C, Igual R, Plaza I, Castro M.

PLoS One. 2014 Apr 15;9(4):e94811. doi: 10.1371/journal.pone.0094811. eCollection 2014.

7.

Challenges, issues and trends in fall detection systems.

Igual R, Medrano C, Plaza I.

Biomed Eng Online. 2013 Jul 6;12:66. doi: 10.1186/1475-925X-12-66. Review.

8.

Mindfulness-based mobile applications: literature review and analysis of current features.

Plaza I, Demarzo MM, Herrera-Mercadal P, García-Campayo J.

JMIR Mhealth Uhealth. 2013 Nov 1;1(2):e24. doi: 10.2196/mhealth.2733. Review.

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