Literature DB >> 21096841

PSYCHE: personalised monitoring systems for care in mental health.

R Paradiso1, A M Bianchi, K Lau, E P Scilingo.   

Abstract

One of the areas of great demand for the need of continuous monitoring, patient participation and medical prediction is that of mood disorders, more specifically bipolar disorders. Due to the unpredictable and episodic nature of bipolar disorder, it is necessary to take the traditional standard procedures of mood assessment through the administration of rating scales and questionnaires and integrate this with tangible data found in emerging research on central and peripheral changes in brain function that may be associated to the clinical status and response to treatment throughout the course of bipolar disorder. This paper presents PSYCHE system, a personal, cost-effective, multi-parametric monitoring system based on textile platforms and portable sensing devices for the long term and short term acquisition of data from selected class of patients affected by mood disorders. The acquired data will be processed and analyzed in the established platform that takes into account the Electronic Health Records (EHR) of the patient, a personalized data referee system, as well as medical analysis in order to verify the diagnosis and help in prognosis of the illness. Constant feedback and monitoring will be used to manage the illness, to give patients support, to facilitate interaction between patient and physician as well as to alert professionals in case of patients relapse and depressive or manic episodes income, as the ultimate goal is to identify signal trends indicating detection and prediction of critical events.

Entities:  

Mesh:

Year:  2010        PMID: 21096841     DOI: 10.1109/IEMBS.2010.5627469

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  6 in total

1.  Human factors in mental healthcare: A work system analysis of a community-based program for older adults with depression and dementia.

Authors:  Siobhan M Heiden; Richard J Holden; Catherine A Alder; Kunal Bodke; Malaz Boustani
Journal:  Appl Ergon       Date:  2017-05-13       Impact factor: 3.661

2.  Real-time particle-by-particle detection of erythrocyte-camouflaged microsensor with extended circulation time in the bloodstream.

Authors:  Wenjun Di; Xuefei Tan; Isen Andrew C Calderon; Ashlyn E Neal Reilly; Mark Niedre; Heather A Clark
Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-04       Impact factor: 11.205

Review 3.  Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management.

Authors:  Leonardo J Gutierrez; Kashif Rabbani; Oluwashina Joseph Ajayi; Samson Kahsay Gebresilassie; Joseph Rafferty; Luis A Castro; Oresti Banos
Journal:  Int J Environ Res Public Health       Date:  2021-02-01       Impact factor: 3.390

Review 4.  Telemonitoring with respect to mood disorders and information and communication technologies: overview and presentation of the PSYCHE project.

Authors:  Hervé Javelot; Anne Spadazzi; Luisa Weiner; Sonia Garcia; Claudio Gentili; Markus Kosel; Gilles Bertschy
Journal:  Biomed Res Int       Date:  2014-06-24       Impact factor: 3.411

Review 5.  Electronic self-monitoring of mood using IT platforms in adult patients with bipolar disorder: A systematic review of the validity and evidence.

Authors:  Maria Faurholt-Jepsen; Klaus Munkholm; Mads Frost; Jakob E Bardram; Lars Vedel Kessing
Journal:  BMC Psychiatry       Date:  2016-01-15       Impact factor: 3.630

6.  Smartphone Application for the Analysis of Prosodic Features in Running Speech with a Focus on Bipolar Disorders: System Performance Evaluation and Case Study.

Authors:  Andrea Guidi; Sergio Salvi; Manuel Ottaviano; Claudio Gentili; Gilles Bertschy; Danilo de Rossi; Enzo Pasquale Scilingo; Nicola Vanello
Journal:  Sensors (Basel)       Date:  2015-11-06       Impact factor: 3.576

  6 in total

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