2 research outputs found

    Prospect of smart home-based detection of subclinical depressive disorders

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    Aging is associated with changing physical, social, emotional, and financial circumstances that are often new to the elder. The affective distress that stems from coping with them could play a negative effect on the health of seniors and lead to severe cases of depression, an emotional disorder that could lead to fatal consequences. The combination of novel methods of ambulatory detection of emotional states, body area networks providing information from numerous bodily parameters, and sophisticated pervasive technologies offers new possibilities in the detection of and intervention in cases of subclinical depression. In this paper we present the technical aspects and rationale behind systems that can use emotional valence monitoring to quantify prolonged emotional negativity and identify the activities associated with such negativity. We argue that this as a suitable mechanism to facilitate ambient-mediated self-regulation and remote peer-support

    MERLIN: Upper-Limb Rehabilitation Robot System for Home Environment

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    ArmAssist is a cost-effective robotic system for post-stroke upper-limb rehabilitation. The system incorporates the ArmAssist Assessment platform based on serious games that enables fast, quantitative and automatic evaluation of the arm functions. The aim of the MERLIN European project is to bring this system to the patients’ homes to personalize the therapy with reduced supervision while increasing the number of movement repetitions to improve the effectiveness. To this end, the ArmAssist system developed by TECNALIA, has been integrated with GMV’s Antari Home Care platform, to customize and supervise the training remotely. Additionally, several technical improvements have been done to enhance the usability and functionality of the system according to the patients and therapists’ feedback. In this paper, the technical progress of the MERLIN system is presented.EIT Health. 20649. MERLI
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