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Links 1 through 10 of 133 Shimmer's Bookmarks

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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Infants with Prader-Willi syndrome (PWS) show severe hypotonia, which causes the child to express movement, sounds and crying to a lesser extent. Due to this behaviour parents may experience difficulties in reading and interpreting the child’s small interaction signals. In order to support parents in noticing these small signals from their child, a biofeedback system is proposed here. The biofeedback system exists of a GSR sensor integrated in a sock and a portable device that communicates the amount of arousal experienced by the child to the parents. Although this system is originally designed for infants with PWS, the authors believe that the system could also be beneficial for children with other syndromes that cause communication problems for their parents. This workshop would be a great opportunity to meet experts in the area of children with complex communication needs and see how the biofeedback system could support other target groups as well.

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Driver’s cognitive load has always been associated with the driver’s heart rate activity and his/her skin conductance activity. However, what aspects of cognitive load that these signals relate to have never been clearly studied. This paper presents our preliminary results about the relationship between the different physiological signals (heart rate and skin conductance) and the driver’s cognitive load. Via one experiment with simulated car driving environment and one experiment in real flying environment, our data suggests that subjects’ heart rate relates to the number of events to be processed by the human driver while the skin conductance relates to the novelty of the driving task. Given the small population involved in these experiments, tests on more subjects are planned and reported in the future.

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In this paper, we present a pervasive and unobtrusive system for sensing human emotions, which are inferred based on the recording, processing, and analysis of the Galvanic Skin Response (GSR) signal from human bodies. Being different from traditional multimodal emotion sensing systems, our proposed system recognizes human emotions with the single modularity of GSR signal, which is captured by wearable sensing devices. A comprehensive set of features is extracted from GSR signal and fed into supervised classifiers for emotion identification. Our system has been evaluated by specific experiments to investigate the characteristics of human emotions in practice. The high accuracy of emotion classification highlights the great potential of this system in improving humans’ mental health in the future.

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The aim of this work is to develop an automatic wireless system for monitoring vehicle speed on the road, identify a speeding vehicle and imposing penalty for the speeding offenders. In this work, a prototype system has been developed in a laboratory environment to generate random speed data using a mechanical wheel, measure the speed data with a Shimmer wireless sensor and transfer the data wirelessly to a client computer for further analysis. Software has been developed using a Java based socket programming technique to monitor the vehicle speed in a server computer and to send the data associated with a speeding vehicle to a remotely placed client computer. The graphical user interface (GUI) can visually display the speed of a vehicle at any particular time.

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Stroke rehabilitation has become one of the main important facilities in the hospital. It is desired to obtain the patient′s rehabilitation condition by measuring the electromyography (EMG) of the patients. In this study, the EMG measurement system constructed by NI instruments was first used to measure a total of twenty-seven stroke patients′ EMG signals which were obtained before and after rehabilitation. Sixteen of them conducted the rehabilitation by using virtual reality (VR). Then we compared the EMG analysis result with the inertial measurement results and also with the Wolf motor function test (WMFT) to find the same trend in order to verify the reliability of EMG indicators. The experimental results showed that the patients who have more than six months to conduct virtual reality rehabilitation have excellent results.

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In this paper the possibility of using off-the-shelf wireless sensors to monitor the cardiac activity of runners during a marathon race is investigated. In such a scenario the runners must cover a long distance during the race, and that distance clearly exceeds the very limited radio range of the low-power Bluetooth radio transceivers available on most current sensors. However, since runners in a marathon all follow exactly the same route, a number of base stations with broadband connectivity to the Internet was deployed on the roadside. Whenever a runner passed by a base station ECG data from this runner's Shimmer ECG sensor can be forwarded to a remote site.

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This paper presents the design of a wireless event detection and in building location awareness system. The systems architecture is based on using a body worn sensor to detect events such as falls where they occur in an assisted living environment. This process involves developing event detection algorithms and transmitting such events wirelessly to an in house network based on the 802.15.4 protocol. The network would then generate alerts both in the assisted living facility and remotely to an offsite monitoring facility. The focus of this paper is on the design of the system architecture and the compliance challenges in applying this technology.

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This demonstration presents an application for real-time joint angle measurement using the Shimmer wireless sensor platform. The application allows for the assessment and analysis of joint kinematics, which can be of benefit to medical professionals in the diagnosis and monitoring of joint disorders. This demonstration focuses on knee joint assessment.

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Applying new sensing technology to healthcare maybe part of a solution to the financial and demographic crisis facing global healthcare systems. Researchers applying new approaches to noninvasive patient monitoring and diagnostics are assisted by the features of Sensing Health with Intelligence, Modularity, Mobility and Experimental Reusability (SHIMMER™), a flexible sensing platform. Integrated peripherals, open software, modular expansion, specific power management hardware, and a library of applications supported with platform validation provide SHIMMER with advantages over many other medical research platforms.

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