Smartphone-centred wearable sensors network for monitoring patients with bipolar disorder

Networking Laboratory, Department of Innovative Technolgies, Institute of Information Systems and Netwrking, University of Applied Sciences of Southern Switzerland, 6928 Manno, Switzerland.
Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 08/2011; 2011:3644-7. DOI: 10.1109/IEMBS.2011.6090613
Source: PubMed


Bipolar Disorder is a severe form of mental illness. It is characterized by alternated episodes of mania and depression, and it is treated typically with a combination of pharmacotherapy and psychotherapy. Recognizing early warning signs of upcoming phases of mania or depression would be of great help for a personalized medical treatment. Unfortunately, this is a difficult task to be performed for both patient and doctors. In this paper we present the MONARCA wearable system, which is meant for recognizing early warning signs and predict maniac or depressive episodes. The system is a smartphone-centred and minimally invasive wearable sensors network that is being developing in the framework of the MONARCA European project.

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    • "Researchers have already achieved a wide level of success in the detection and monitoring of people suffering from stress, epilepsy, bipolar disorder, and sleep apnoea [7], [8], [9] using wearable sensors. One major drawback of using wearable sensors is the presence of artifacts which can contaminate the signal. "
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    • "Mental problems might include emotion, mood, stress, depression or shock. Much recent work has focused on using physiological signals such as ECG [26] or galvanic skin response (GSR) [39] [55]. Some other researchers also have examined the utility of audio signals [39] to detect stress and this problem remains challenging today due to the lack of psychoacoustic understanding of the signals. "
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    • "To enable the sensor systems to collect data continuously, patients must carry the device at all times. Therefore the MONARCA project focuses especially on wearable, unobtrusive sensors [1] [9] which can be used during daily life. "
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    ABSTRACT: This paper outlines the design and implementation of a mobile galvanic skin response (GSR) measurement system applied to feet. The system comprises an off-the-shelf node featuring acceleration and GSR sensors with customized firmware and a mobile phone with a customized Android application. The app serves as graphical user interface (GUI) and remote control for the sensor node. The devices communicate wirelessly while implementing a power-saving strategy to limit the amount of communication. The technical feasibility of the system is demonstrated through data recording in a study comprising 28 measurements from 11 patients. In each measurement, two conditions are recorded. 12 statistically and highly significant GSR features for these two conditions are identified, with the number of maxima in the second derivate of the GSR signal being the most significant one.
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