Computational Modeling and Analysis of the Role of Physical Activity in Mood Regulation and Depression

Both, Fiemke; Hoogendoorn, Mark; Klein, Michel; Treur, Jan

doi:10.1007/978-3-642-17537-4_34

Cited by 8 publications

(7 citation statements)

References 22 publications

(37 reference statements)

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“…On the other hand a model-based approach is used to estimate the current influence and future developments of a therapy on a patient. By means of computational simulation of states associated with depression and therapeutic models [6], [2], [5], [4] (a so-called virtual patient [3]), a tailored feedback and therapeutic advice is provided to the patient. This advice is either meant to stimulate a patient and improve his involvement in the therapy, or to suggest the patient to perform a different type of therapy.…”

Section: Functional Viewmentioning

confidence: 99%

ICT4Depression: Service oriented architecture applied to the treatment of depression

Rocha

Henriques

Lopes

et al. 2012

2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)

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FP7 ICT4Depression project aims at providing a set of tools to further improve both patient outcome and increase of access to treatment of the patients suffering from major depression. This article describes the Information Systems (IS) architecture used in the project. ICT4Depression uses a service oriented architecture as means of bringing together different kinds of information concerning the patient, the therapeutic modules he is advised to follow and the sensors used to assess his status.

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Section: Functional Viewmentioning

confidence: 99%

ICT4Depression: Service oriented architecture applied to the treatment of depression

Rocha

Henriques

Lopes

et al. 2012

2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)

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“…In addition, the therapeutic influence is also modeled. The models incorporated in the virtual patient prediction component are described in more detail in [15,16,17]. As an input for these models, the characteristics for the patient as provided in a questionnaire are used.…”

Section: Virtual Patientmentioning

confidence: 99%

A Mobile System for Treatment of Depression

Ven¹,

Henriques²,

Hoogendoorn

et al. 2012

Proceedings of the 2nd International Workshop on Computing Paradigms for Mental Health

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This paper presents a mobile treatment system developed as part of the FP7 ICT4Depression project. The project targets the efficient treatment of minor and major depression. To this end, treatments that have traditionally been administered via relatively simple web-based interfaces, have been translated for use on a smart phone. The delivery of the treatments is supported by an evidence-based approach to patient progression and treatment adherence monitoring. The mobile system consists of a graphical user interface, biomedical sensors to measure the patient's affective state, a medication adherence system, an activity monitor and a server based reasoning system to combine the various sensor data streams and obtain abstracted information relating to patient status and progression, thereby allowing for appropriate feedback and advice for both patient and medical staff.

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“…The physical state influences the mood level positively and learning the relation between these concepts increases the coping skills. For more details on the mood model and the models of the different therapies, see ([5], [6], [7])…”

Section: Therapeutic Modelsmentioning

confidence: 99%

“…In extensions of the model (see [6]; [7]), the influence of various therapies upon these states of the patient have been included, which enables predictions on the effectiveness of the therapy for the patient.…”

Section: Introductionmentioning

confidence: 99%

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Utilization of a Virtual Patient Model to Enable Tailored Therapy for Depressed Patients

Both

Hoogendoorn

2011

Neural Information Processing

Self Cite

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Abstract. Major depression is a prominent mental disorder that has significant impact upon the patient suffering from the depression as well as on the society as a whole. Currently, therapies are offered via the Internet in the form of selfhelp modules, and they have shown to be as effective as face-to-face counseling. In order to take automated therapies a step further, models which describe the development of the internal states associated with depression can be of great help to give dedicated advice and feedback to the patient e.g. by means of making predictions using the model. In this paper, an existing computational model for states related to depression (e.g. mood) is taken as a basis in combination with models that express the influence of various therapies upon these states. These models are utilized to give dedicated feedback to the patient, tailor the parameters towards the observed patient behavior, and give an appropriate advice regarding the therapy to be followed.

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Computational Modeling and Analysis of the Role of Physical Activity in Mood Regulation and Depression

Cited by 8 publications

References 22 publications

ICT4Depression: Service oriented architecture applied to the treatment of depression

ICT4Depression: Service oriented architecture applied to the treatment of depression

A Mobile System for Treatment of Depression

Utilization of a Virtual Patient Model to Enable Tailored Therapy for Depressed Patients

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