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Publication
Featured researches published by Robert Matthews.
international conference of the ieee engineering in medicine and biology society | 2007
Robert Matthews; Neil J. McDonald; Paul Hervieux; Peter J. Turner; Martin A. Steindorf
This paper describes an integrated Physiological Sensor Suite (PSS) based upon QUASARs innovative noninvasive bioelectric sensor technologies that will provide, for the first time, a fully integrated, noninvasive methodology for physiological sensing. The PSS currently under development at QUASAR is a state-of-the-art multimodal array of that, along with an ultra-low power personal area wireless network, form a comprehensive body-worn system for real-time monitoring of subject physiology and cognitive status. Applications of the PSS extend from monitoring of military personnel to long-term monitoring of patients diagnosed with cardiac or neurological conditions. Results for side-by-side comparisons between QUASARs biosensor technology and conventional wet electrodes are presented. The signal fidelity for bioelectric measurements using QUASARs biosensors is comparable to that for wet electrodes.
international conference on foundations of augmented cognition | 2007
Robert Matthews; Neil J. McDonald; Harini Anumula; Jamison Scott Woodward; Peter J. Turner; Martin A. Steindorf; Kaichun Chang; Joseph M. Pendleton
This paper describes a wireless multi-channel system for zero-prep electroencephalogram (EEG) measurements in operational settings. The EEG sensors are based upon a novel hybrid (capacitive/resistive) bioelectrode technology that requires no modification to the skins outer layer. High impedance techniques developed for QUASARs capacitive electrocardiogram (ECG) sensors minimize the sensors susceptibility to common-mode (CM) interference, and permit EEG measurements with electrode-subject impedances as large as 107 Ω. Results for a side-by-side comparison between the hybrid sensors and conventional wet electrodes for EEG measurements are presented. A high level of correlation between the two electrode technologies (>99% for subjects seated) was observed. The electronics package for the EEG system is based upon a miniature, ultra-low power microprocessor-controlled data acquisition system and a miniaturized wireless transceiver that can operate in excess of 72 hours from two AAA batteries.
international conference on human computer interaction | 2009
Eric W. Sellers; Peter J. Turner; William A. Sarnacki; Tobin McManus; Theresa M. Vaughan; Robert Matthews
A brain-computer interface is a device that uses signals recorded from the brain to directly control a computer. In the last few years, P300-based brain-computer interfaces (BCIs) have proven an effective and reliable means of communication for people with severe motor disabilities such as amyotrophic lateral sclerosis (ALS). Despite this fact, relatively few individuals have benefited from currently available BCI technology. Independent BCI use requires easily acquired, good-quality electroencephalographic (EEG) signals maintained over long periods in less-than-ideal electrical environments. Conventional, wet-sensor, electrodes require careful application. Faulty or inadequate preparation, noisy environments, or gel evaporation can result in poor signal quality. Poor signal quality produces poor user performance, system downtime, and user and caregiver frustration. This study demonstrates that a hybrid dry electrode sensor array (HESA) performs as well as traditional wet electrodes and may help propel BCI technology to a widely accepted alternative mode of communication.
Archive | 2005
Paul Hervieux; Robert Matthews; Jamison Scott Woodward
Archive | 2004
Robert Matthews; Igor Fridman; Paul Hervieux
Archive | 2001
Robert Matthews; Neil J. McDonald
Archive | 2005
Stephen A. Van Albert; Paul F. Bruney; Robert Matthews; Linas Kunstmanas
Archive | 2005
Igor Fridman; Paul Hervieux; Linas Kunstmanas; Robert Matthews
Archive | 2005
Igor Fridman; Paul Hervieux; Robert Matthews
Archive | 2016
Igor Fridman; Robert Matthews