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Depression Research and Treatment
Volume 2013 (2013), Article ID 640861, 8 pages
http://dx.doi.org/10.1155/2013/640861
Research Article

A Low-Cost Point-of-Care Testing System for Psychomotor Symptoms of Depression Affecting Standing Balance: A Preliminary Study in India

1The Gnan Systems LLP, Kolkata 700156, India
2The Dharma Foundation of India, New Delhi 110003, India
3The Neuro Rehab Services LLP, New Delhi 110048, India
4The Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany
5Institut National de Recherche en Informatique et en Automatique (INRIA), 34090 Montpellier, France

Received 4 July 2013; Accepted 17 August 2013

Academic Editor: Charles B. Nemeroff

Copyright © 2013 Arindam Dutta et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The World Health Organization estimated that major depression is the fourth most significant cause of disability worldwide for people aged 65 and older, where depressed older adults reported decreased independence, poor health, poor quality of life, functional decline, disability, and increased chronic medical problems. Therefore, the objectives of this study were (1) to develop a low-cost point-of-care testing system for psychomotor symptoms of depression and (2) to evaluate the system in community dwelling elderly in India. The preliminary results from the cross-sectional study showed a significant negative linear correlation between balance and depression. Here, monitoring quantitative electroencephalography along with the center of pressure for cued response time during functional reach tasks may provide insights into the psychomotor symptoms of depression where average slope of the Theta-Alpha power ratio versus average slope of baseline-normalized response time may be a candidate biomarker, which remains to be evaluated in our future clinical studies. Once validated, the biomarker can be used for monitoring the outcome of a comprehensive therapy program in conjunction with pharmacological interventions. Furthermore, the frequency of falls can be monitored with a mobile phone-based application where the propensity of falls during the periods of psychomotor symptoms of depression can be investigated further.