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It has been envisioned that a body network can be built to collect data from, and transport information to, implanted miniature devices at multiple sites within the human body. Currently, two problems of utmost importance remain unsolved: 1) how to link information between a pair of implants at a distance? and 2) how to provide electric power to these implants allowing them to function and communicate?...
In this paper, we propose a power efficient communication system for linking a brain-implantable device to an external system. For battery powered implantable devices, the processor and the transmitter power should be reduced in order to both conserve battery power and reduce the health risks associated with transmission. To accomplish this, a joint source-channel coding/decoding system is devised...
Video transmission plays a critical role in robotic telesurgery because of the required high bandwidth and quality requirement. We propose an adaptive video preprocessing technique to accelerate the transmission of telesurgical video. Using this technique, the bandwidth can be reallocated adaptively from non-essential surrounding regions to the region of interest when preprocessed image sequences...
Electrical impedance tomography (EIT) is a new functional imaging technique. This paper presents the development of a new electrical impedance tomography system with 128 electrodes for impedance change detection and 3D imaging of the human thorax. The system consists of several modules, including multi-frequency current source, driving, measuring, data acquisition, and controlling and signal processing...
Currently, a significant obstacle in identifying the most important factors that contribute to obesity is the lack of appropriate tools to evaluate food consumption and physical activity on a daily basis. This paper presents a novel video-based approach to estimating the energy intake and expenditure of individuals who are over-weight or obese. We propose to utilize a miniature video camera to chronically...
A lack of appropriate tools to evaluate food consumption is currently a significant obstacle in identifying the most important factors that contribute to obesity. We show that by using a wearable video camera to chronically record an individual's daily activities, food intake can be assessed more accurately. In this paper we present a novel and simple video-based algorithm to objectively estimate...
An implantable device system has been made which utili es volume conduction for energy transfer and communication. The actual implantable device uses relatively low power and can be recharged with a "stick-on" "energy pad." A handheld controller is used to easily communicate with the implant. The system demonstrates the feasibility of volume conduction technology as a platform...
The development of any implant or medical device requires extensive testing. Often in vivo testing is difficult, and sometimes-in the case of neural control devices-impossible. Phantom heads have been constructed in the past for such applications as testing the effects of cellular communication devices, but these models are limited in their utility. The current study is not only aimed at producing...
We suggest an iterative method for the decomposition of MEG signals into some user-specified parts. It is based on a technique called morphological component analysis (MCA), which seeks sparse representations. A numerical simulation is carried out to reveal the performance characteristics of this method.
Research interest in multi-frame Superresolution has risen substantially in recent years. This paper presents a modified Projection Onto Convex Set (POCS) superresolution method based on wavelet transform. The method analyzes the image formation model from wavelet multiresolution analysis point of view and defines an closed convex set and its corresponding projection based on wavelet transform. An...
Neurophysical interoperative monitoring (OIM) video is an important tool in biomedical applications and telemedicine and it is essential to maintain high fidelity of the frames even in low bit-rate environment. Toward this end, we studied a spatio-temporal 3D multiwavelet-based OIM video compression system that is capable of high quality output even under the demands of high compression ratios
This paper explores the limitations of sEMG (surface Electromyography) signals collected from the extrinsic muscles in the forearm in predicting the postures of human hand. Four subjects were asked to try ten extreme postures of hand which need high effort. Two of these four subjects were asked to try ten more normal postures which did not need effort. During the experiments, muscle activity and static...
This work investigates the data communication problem of implantable devices using fundamental theories in communications. We utilize the volume conduction property of biological tissues to establish a digital communications link. Data obtained through animal experiments are used to analyze the time and frequency response of the volume conduction channel as well as to characterize the biological signals...
Many implantable devices require large capacity batteries implanted in the body. Transcutaneous battery recharging can effectively maintain the longevity of these implants. Based on this consideration we have developed a transcutaneous battery recharging circuit unit which takes advantages of skin volume conduction. This unit is able to pass 2.8 mA from the outside to the inside of pig skin with a...
This paper presents a method to synthesize multi-view video frames to facilitate coding and transmission of patient monitoring video. The synthesis is carried out in the DCT domain by means of interlacing. The synthesized video provides a higher video coding efficiency, better synchronization of the video streams from multiple cameras, as well as the improved data loss resilience and protection of...
In the analysis of epileptic electroencephalographic (EEG) and magnetoencephalography (MEG) data, spike separation is diagnostically important because localization of epileptic focus often depends on accurate extraction of spiky activity from the raw data. In this paper, we present a method to automatically extract spikes using the wavelet transform combined with morphological filtering based on a...
The recently proposed signal space separation (SSS) method can transform the multichannel magnetic measurements of brain (MEG) into parts that correspond to inner sources and undesired external interferences. In this paper, we extend this method by decomposing the signal into deep and superficial regions. This is realized by manipulating the SSS coefficients using a scheme that exploits beamspace...
An epileptic seizure detector's performance definitely depends on features extraction and selection. In this study, we present the short-time average magnitude difference function (sAMDF) as a computationally efficient feature to distinguish seizures from EEG and it is compared with the frequently used curve length. We also suggest using a subspace based approach for feature selection that exploits...
In the analysis of epileptic electroencephalographic (EEG) and magnetoencephalography (MEG) data, spike separation is diagnostically important because localization of epileptic focus often depends on accurate extraction of spiky activity from the raw data. In this paper, we present a method to automatically extract spikes using the wavelet transform combined with morphological filtering based on a...
This paper explores the limitations of sEMG (surface Electromyography) signals collected from the extrinsic muscles in the forearm in predicting the postures of human hand. Four subjects were asked to try ten extreme postures of hand which need high effort. Two of these four subjects were asked to try ten more normal postures which did not need effort During the experiments, muscle activity and static...
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