Craig Jin

Bio: Craig Jin is an academic researcher from University of Sydney. The author has contributed to research in topics: Microphone & Electrical impedance tomography. The author has an hindex of 30, co-authored 169 publications receiving 3118 citations. Previous affiliations of Craig Jin include Fraunhofer Society & Information Technology University.

Multi-Channel Goes Mobile: MPEG Surround Binaural Rendering

Abstract: 1 Philips Research Laboratories, 5656 AA, Eindhoven, The Netherlands jeroen.breebaart@philips.com 2 Fraunhofer Institute for Integrated Circuits IIS, 91058 Erlangen, Germany {hrr;pts}@iis.fraunhofer.de 3 Coding Technologies, 11352 Stockholm, Sweden {lv;kk}@codingtechnologies.com 4 Vast Audio, NSW 1430 Sydney, Australia craig@ee.usyd.edu.au 5 Philips Applied Technologies, 5616 LW Eindhoven, The Netherlands jeroen.koppens@philips.com

A mobile EEG system with dry electrodes

Abstract: A new EEG recording device demonstrating an ultra-high input impedance is presented. Dry electrodes made of conductive rubber were employed for this study with careful shielding of the electrodes and cables. The device has a small form factor, so it is wearable, and has continuous Bluetooth connectivity. Tests were performed to assess features of the proposed device and to compare it with standard clinical devices. Simultaneous EEG recordings were measured from adjacent sites on the scalp using the new EEG device with dry electrodes and a reference EEG device with standard electrodes. The gain and bandwidth settings for the two devices were set similarly. Traditional closing eyes alpha-wave replacement and mu-rhythm were compared in both the time and frequency domains. Results from eight subjects show a high correlation coefficient (0.83 on average) between recordings of contiguous dry and standard electrodes. We conclude that the performance of the new device is comparable with standard EEG recording equipment, but offers a shorter set-up time, the possibility of long-term recording, and a wireless connection - all of which are advantages valuable in the field of brain computer interfaces and neurofeedback.

The role of high frequencies in speech localization.

Abstract: This study measured the accuracy with which human listeners can localize spoken words. A broadband (300 Hz-16 kHz) corpus of monosyllabic words was created and presented tolisteners using a virtual auditory environment. Localization was examined for 76 locations ona sphere surrounding the listener. Experiment 1 showed that low-pass filtering the speech sounds at 8 kHz degraded performance, causing an increase in polar angle errors associated with the cone of confusion. In experiment 2 it was found that performance in fact varied systematically with the level of the signal above 8 kHz. Although the lower frequencies (below 8 kHz) are known to be sufficient for accurate speech recognition in most situations, these results demonstrate that natural speech contains information between 8 and 16 kHz that is essential for accurate localization.

Nano-Enhanced Drug Delivery and Therapeutic Ultrasound for Cancer Treatment and Beyond.

Abstract: While ultrasound is most widely known for its use in diagnostic imaging, the energy carried by ultrasound waves can be utilized to influence cell function and drug delivery. Consequently, our ability to use ultrasound energy at a given intensity unlocks the opportunity to use the ultrasound for therapeutic applications. Indeed, in the last decade ultrasound-based therapies have emerged with promising treatment modalities for several medical conditions. More recently, ultrasound in combination with nanomedicines, i.e., nanoparticles, has been shown to have substantial potential to enhance the efficacy of many treatments including cancer, Alzheimer disease or osteoarthritis. The concept of ultrasound combined with drug delivery is still in its infancy and more research is needed to unfold the mechanisms and interactions of ultrasound with different nanoparticles types and with various cell types. Here we present the state-of-art in ultrasound and ultrasound-assisted drug delivery with a particular focus on cancer treatments. Notably, this review discusses the application of high intensity focus ultrasound for non-invasive tumor ablation and immunomodulatory effects of ultrasound, as well as the efficacy of nanoparticle-enhanced ultrasound therapies for different medical conditions. Furthermore, this review presents safety considerations related to ultrasound technology and gives recommendations in the context of system design and operation.

Principles of Neural Science

Abstract: I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or

Neuromorphic Silicon Neuron Circuits

Abstract: Hardware implementations of spiking neurons can be extremely useful for a large variety of applications, ranging from high-speed modeling of large-scale neural systems to real-time behaving systems, to bidirectional brain-machine interfaces. The specific circuit solutions used to implement silicon neurons depend on the application requirements. In this paper we describe the most common building blocks and techniques used to implement these circuits, and present an overview of a wide range of neuromorphic silicon neurons, which implement different computational models, ranging from biophysically realistic and conductance-based Hodgkin-Huxley models to bi-dimensional generalized adaptive integrate and fire models. We compare the different design methodologies used for each silicon neuron design described, and demonstrate their features with experimental results, measured from a wide range of fabricated VLSI chips.

Brain Computer Interfaces, a Review

Abstract: A brain-computer interface (BCI) is a hardware and software communications system that permits cerebral activity alone to control computers or external devices. The immediate goal of BCI research is to provide communications capabilities to severely disabled people who are totally paralyzed or 'locked in' by neurological neuromuscular disorders, such as amyotrophic lateral sclerosis, brain stem stroke, or spinal cord injury. Here, we review the state-of-the-art of BCIs, looking at the different steps that form a standard BCI: signal acquisition, preprocessing or signal enhancement, feature extraction, classification and the control interface. We discuss their advantages, drawbacks, and latest advances, and we survey the numerous technologies reported in the scientific literature to design each step of a BCI. First, the review examines the neuroimaging modalities used in the signal acquisition step, each of which monitors a different functional brain activity such as electrical, magnetic or metabolic activity. Second, the review discusses different electrophysiological control signals that determine user intentions, which can be detected in brain activity. Third, the review includes some techniques used in the signal enhancement step to deal with the artifacts in the control signals and improve the performance. Fourth, the review studies some mathematic algorithms used in the feature extraction and classification steps which translate the information in the control signals into commands that operate a computer or other device. Finally, the review provides an overview of various BCI applications that control a range of devices.

Measurement of intraocular distances by backscattering spectral interferometry

Abstract: The diffraction tomography theorem is adapted to one-dimensional length measurement. The resulting spectral interferometry technique is described and the first length measurements using this technique on a model eye and on a human eye in vivo are presented.