Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679631
J. Molin, A. Russell, Stefan Mihalas, E. Niebur, R. Etienne-Cummings
The human visual system has the inherent capability of using selective attention to rapidly process visual information across visual scenes. Early models of visual saliency are purely feature-based and compute visual attention for static scenes. However, to model the human visual system, it is important to also consider temporal change that may exist within the scene when computing visual saliency. We present a biologically-plausible model of dynamic visual attention that computes saliency as a function of proto-objects modulated by an independent motion-sensitive channel. This motion-sensitive channel extracts motion information via biologically plausible temporal filters modeling simple cell receptive fields. By using KL divergence measurements, we show that this model performs significantly better than chance in predicting eye fixations. Furthermore, in our experiments, this model outperforms the Itti, 2005 dynamic saliency model and insignificantly differs from the graph-based visual dynamic saliency model in performance.
{"title":"Proto-object based visual saliency model with a motion-sensitive channel","authors":"J. Molin, A. Russell, Stefan Mihalas, E. Niebur, R. Etienne-Cummings","doi":"10.1109/BioCAS.2013.6679631","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679631","url":null,"abstract":"The human visual system has the inherent capability of using selective attention to rapidly process visual information across visual scenes. Early models of visual saliency are purely feature-based and compute visual attention for static scenes. However, to model the human visual system, it is important to also consider temporal change that may exist within the scene when computing visual saliency. We present a biologically-plausible model of dynamic visual attention that computes saliency as a function of proto-objects modulated by an independent motion-sensitive channel. This motion-sensitive channel extracts motion information via biologically plausible temporal filters modeling simple cell receptive fields. By using KL divergence measurements, we show that this model performs significantly better than chance in predicting eye fixations. Furthermore, in our experiments, this model outperforms the Itti, 2005 dynamic saliency model and insignificantly differs from the graph-based visual dynamic saliency model in performance.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"257 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120978436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679660
Van Nguyen, A. Q. Javaid, M. A. Weitnauer
We introduce the Harmonic Path (HAPA) algorithm for estimation of heart rate (HR) and respiration rate (RR) with Impulse Radio Ultrawideband (IR-UWB) radar. A well known result is that a periodic movement, such as the lung wall or heart wall movement, induces a fundamental frequency and its harmonics. IR-UWB enables capture of these spectral components and frequency domain processing enables a low cost implementation. Most existing methods try to identify the fundamental component to estimate the HR and/or RR. However, often the fundamental is distorted or cancelled by interference, such as RR harmonics interference on the HR fundamental, leading to significant error for HR estimation. HAPA is the first reported algorithm to take advantage of the HR harmonics, where there is less interference, to achieve more reliable and robust estimation of the fundamental frequency. Example experimental results for HR estimation demonstrate how our algorithm eliminates errors caused by interference.
{"title":"Harmonic Path (HAPA) algorithm for non-contact vital signs monitoring with IR-UWB radar","authors":"Van Nguyen, A. Q. Javaid, M. A. Weitnauer","doi":"10.1109/BioCAS.2013.6679660","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679660","url":null,"abstract":"We introduce the Harmonic Path (HAPA) algorithm for estimation of heart rate (HR) and respiration rate (RR) with Impulse Radio Ultrawideband (IR-UWB) radar. A well known result is that a periodic movement, such as the lung wall or heart wall movement, induces a fundamental frequency and its harmonics. IR-UWB enables capture of these spectral components and frequency domain processing enables a low cost implementation. Most existing methods try to identify the fundamental component to estimate the HR and/or RR. However, often the fundamental is distorted or cancelled by interference, such as RR harmonics interference on the HR fundamental, leading to significant error for HR estimation. HAPA is the first reported algorithm to take advantage of the HR harmonics, where there is less interference, to achieve more reliable and robust estimation of the fundamental frequency. Example experimental results for HR estimation demonstrate how our algorithm eliminates errors caused by interference.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128723728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679715
Pengpeng Chen, Bo Zhao, Rong Luo, Y. Lian, Huazhong Yang
This paper presents a low-power Gaussian frequency shift keying (GFSK) demodulation technique for wireless body area network (WBAN) applications. The demodulator is composed of a digital pulse generator (DPG), a low-pass filter (LPF), a band-pass filter (BPF), and a hysteresis comparator. The robustness under frequency deviations is realized by a DPG, which outputs an optimized pulse width insensitive to variations of process, voltage, and temperature (PVT). The demodulator is designed with 0.18 μm CMOS technology, and the input testing GFSK signal is 200 kHz, with a data rate of 100 kb/s and a modulation index of 1.0. Simulation results show that the minimum input signal-to-noise ratio (SNR) is 18 dB for 0.1% bit error rate (BER), which falls in the same level with state-of-the-art. Nevertheless, the proposed demodulator can tolerate -15%~+10% frequency deviation, and consumes only 0.52 mA under 1.8 V supply.
{"title":"A low-power robust GFSK demodulation technique for WBAN applications","authors":"Pengpeng Chen, Bo Zhao, Rong Luo, Y. Lian, Huazhong Yang","doi":"10.1109/BioCAS.2013.6679715","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679715","url":null,"abstract":"This paper presents a low-power Gaussian frequency shift keying (GFSK) demodulation technique for wireless body area network (WBAN) applications. The demodulator is composed of a digital pulse generator (DPG), a low-pass filter (LPF), a band-pass filter (BPF), and a hysteresis comparator. The robustness under frequency deviations is realized by a DPG, which outputs an optimized pulse width insensitive to variations of process, voltage, and temperature (PVT). The demodulator is designed with 0.18 μm CMOS technology, and the input testing GFSK signal is 200 kHz, with a data rate of 100 kb/s and a modulation index of 1.0. Simulation results show that the minimum input signal-to-noise ratio (SNR) is 18 dB for 0.1% bit error rate (BER), which falls in the same level with state-of-the-art. Nevertheless, the proposed demodulator can tolerate -15%~+10% frequency deviation, and consumes only 0.52 mA under 1.8 V supply.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134320678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BIOCAS.2013.6679653
A. Laki, Gabor Zs. Nagy, K. Iván, P. Fürjes, O. Jacso, E. Fok, P. Civera
We present the use of a simple microfluidic technique to detect living parasites from veterinarian blood using monolithic polydimethylsiloxane (PDMS) structures. Several blood borne parasites such as dirofilariosis or Lyme disease can be observed by this microcapillary system. Inside this microfluidic device a special flow-through separator structure has been implemented, which contains a cylindrical Active Zone, where the microfilariae or other few micron-size pathogens remain trapped. The center region is partially surrounded by rectangular cross-section shaped microcapillaries. The developed test can be optimized for a specific nematode or pathogen detection by adjusting the capillary width.
{"title":"Integrated microcapillary system for microfluidic parasite analysis","authors":"A. Laki, Gabor Zs. Nagy, K. Iván, P. Fürjes, O. Jacso, E. Fok, P. Civera","doi":"10.1109/BIOCAS.2013.6679653","DOIUrl":"https://doi.org/10.1109/BIOCAS.2013.6679653","url":null,"abstract":"We present the use of a simple microfluidic technique to detect living parasites from veterinarian blood using monolithic polydimethylsiloxane (PDMS) structures. Several blood borne parasites such as dirofilariosis or Lyme disease can be observed by this microcapillary system. Inside this microfluidic device a special flow-through separator structure has been implemented, which contains a cylindrical Active Zone, where the microfilariae or other few micron-size pathogens remain trapped. The center region is partially surrounded by rectangular cross-section shaped microcapillaries. The developed test can be optimized for a specific nematode or pathogen detection by adjusting the capillary width.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131551754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679708
F. Kölbl, J. Sabatier, G. N'Kaoua, Frederic Naudet, E. Faggiani, A. Benazzouz, S. Renaud, N. Lewis
The design of neuro-stimulators must include a realistic model of electrode-tissue interface. Complex electrochemical phenomena associated to high levels of stimulation current give fractional and non linear behavior to this interface that simple linearized models fail to fit. This paper describes both a measurement protocol based on biphasic current-controlled solicitations and a modeling procedure relying on an original approach of multi-model, taking into account the non-linear and fractional effects. This model fits correctly the measurement results with current levels varying from 50μA to 1mA. Furthermore the whole characterization protocol can be safely transposed to in vivo measurements.
{"title":"Characterization of a non linear fractional model of electrode-tissue impedance for neuronal stimulation","authors":"F. Kölbl, J. Sabatier, G. N'Kaoua, Frederic Naudet, E. Faggiani, A. Benazzouz, S. Renaud, N. Lewis","doi":"10.1109/BioCAS.2013.6679708","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679708","url":null,"abstract":"The design of neuro-stimulators must include a realistic model of electrode-tissue interface. Complex electrochemical phenomena associated to high levels of stimulation current give fractional and non linear behavior to this interface that simple linearized models fail to fit. This paper describes both a measurement protocol based on biphasic current-controlled solicitations and a modeling procedure relying on an original approach of multi-model, taking into account the non-linear and fractional effects. This model fits correctly the measurement results with current levels varying from 50μA to 1mA. Furthermore the whole characterization protocol can be safely transposed to in vivo measurements.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115698275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679702
P. Wang, T. Ytterdal, T. Halvorsrod
Since the new generation of ultrasound imaging probes will integrate thousands of receive and transmit channels into a single probe, the power, noise, and chip cost become the top challenges for the analog front end of ultrasound imaging probes. This paper investigates a low-power, low-noise, and low-cost single-end-ed to differential variable gain amplifier (VGA) for 2-6-MHz second harmonic imaging ultrasound probes in a 0.18μm CMOS technology. The proposed VGA has two stages. The first stage is an inverter-based voltage sampling switched-capacitor VGA (SC-VGA) with a 6b binary-weighted gain control, and the second stage is a 4b thermometer continuous-time amplifier with tunable gain that implements the single-end to differential conversion. Power consumption and noise are highly improved by adopting an inverter to replace the operational trans-conductance amplifier (OTA) that is commonly employed in traditional SC-VGAs. Flicker noise and DC offset are canceled out by using an auto-zeroing technique. While the small layout size is achieved not only by adopting a dividing capacitor which separates the 6b binary-weighted capacitor (CAP) array between the upper 3b and lower 3b to decrease the capacitance spread in the first stage, but also by employing a common-source amplifier as a single-ended to differential converter instead of the SC-amplifier to avoid the CAP arrays. The proposed VGA has a total gain range from -9dB to 22dB. The power consumption for the core analog circuitry is 140μA at 1V supply voltage. The input referred noise is 8nV/√Hz at the center frequency of 4MHz, and the second harmonic distortion (HD2) is -61dB at a 400mV peak to peak output swing with a 30MHz sampling frequency. The layout size is 109μm×164μm.
{"title":"A low-power, low-noise, and low-cost VGA for second harmonic imaging ultrasound probes","authors":"P. Wang, T. Ytterdal, T. Halvorsrod","doi":"10.1109/BioCAS.2013.6679702","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679702","url":null,"abstract":"Since the new generation of ultrasound imaging probes will integrate thousands of receive and transmit channels into a single probe, the power, noise, and chip cost become the top challenges for the analog front end of ultrasound imaging probes. This paper investigates a low-power, low-noise, and low-cost single-end-ed to differential variable gain amplifier (VGA) for 2-6-MHz second harmonic imaging ultrasound probes in a 0.18μm CMOS technology. The proposed VGA has two stages. The first stage is an inverter-based voltage sampling switched-capacitor VGA (SC-VGA) with a 6b binary-weighted gain control, and the second stage is a 4b thermometer continuous-time amplifier with tunable gain that implements the single-end to differential conversion. Power consumption and noise are highly improved by adopting an inverter to replace the operational trans-conductance amplifier (OTA) that is commonly employed in traditional SC-VGAs. Flicker noise and DC offset are canceled out by using an auto-zeroing technique. While the small layout size is achieved not only by adopting a dividing capacitor which separates the 6b binary-weighted capacitor (CAP) array between the upper 3b and lower 3b to decrease the capacitance spread in the first stage, but also by employing a common-source amplifier as a single-ended to differential converter instead of the SC-amplifier to avoid the CAP arrays. The proposed VGA has a total gain range from -9dB to 22dB. The power consumption for the core analog circuitry is 140μA at 1V supply voltage. The input referred noise is 8nV/√Hz at the center frequency of 4MHz, and the second harmonic distortion (HD2) is -61dB at a 400mV peak to peak output swing with a 30MHz sampling frequency. The layout size is 109μm×164μm.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115707044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679707
A. Shiraz, A. Vanhoestenberghe, A. Demosthenous
In this work, after reporting the MRI studies to find out the nerve trajectory, we used finite element modeling to investigate bipolar and tripolar stimulation methods, aimed at exciting the pudendal afferent using a wearable neuromuscular stimulation probe. Using a 2D model, the effects of size and current weighting of the anodes on the activating function were investigated. We explored how having two tissue layers of different conductivity around the probe could change the activating function along the nerve. Some of the results were further verified using a 3D model.
{"title":"Optimization of neural stimulation in a device for treating urinary incontinence","authors":"A. Shiraz, A. Vanhoestenberghe, A. Demosthenous","doi":"10.1109/BioCAS.2013.6679707","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679707","url":null,"abstract":"In this work, after reporting the MRI studies to find out the nerve trajectory, we used finite element modeling to investigate bipolar and tripolar stimulation methods, aimed at exciting the pudendal afferent using a wearable neuromuscular stimulation probe. Using a 2D model, the effects of size and current weighting of the anodes on the activating function were investigated. We explored how having two tissue layers of different conductivity around the probe could change the activating function along the nerve. Some of the results were further verified using a 3D model.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117144166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BIOCAS.2013.6679686
M. Zoladz, P. Kmon, J. Rauza, P. Grybos, T. Kowalczyk, B. Caban
We present a complete reconfigurable measurement system for 256-channel in vitro recordings and electrical stimulation of brain tissue electrophysiological activity. The system is built of: brain tissue life support system, Microelectrode Array (MEA), 4 multichannel integrated electronic circuits for signals conditioning and electrical stimulation, Digitizer and PC Application for measurement, data presentation and storage. The life support system is responsible for keeping brain tissue samples in appropriately saturated artificial cerebrospinal fluid at a very stable temperature. We designed two versions of the ASIC's that can be easily adopted to the system. These are processed in the CMOS 180nm technology and differ with the main parameters that suits for different types of experiments. The ASIC's are dedicated to amplification, filtering, and electrical stimulation of the 256 channels while the Digitizer performs simultaneous data acquisition from 256 channels with 14 kS/s sample rate and 12bit resolution. The resulting byte stream is transmitted to PC via USB (Universal Serial Bus). We also show a neurobiological experiment results that confirm the system is able to keep the extracted brain tissue active (posterior hypothalamic slices) and to record local theta field potentials with very small amplitudes from multiple neurons simultaneously.
{"title":"A complete 256-channel reconfigurable system for in vitro neurobiological experiments","authors":"M. Zoladz, P. Kmon, J. Rauza, P. Grybos, T. Kowalczyk, B. Caban","doi":"10.1109/BIOCAS.2013.6679686","DOIUrl":"https://doi.org/10.1109/BIOCAS.2013.6679686","url":null,"abstract":"We present a complete reconfigurable measurement system for 256-channel in vitro recordings and electrical stimulation of brain tissue electrophysiological activity. The system is built of: brain tissue life support system, Microelectrode Array (MEA), 4 multichannel integrated electronic circuits for signals conditioning and electrical stimulation, Digitizer and PC Application for measurement, data presentation and storage. The life support system is responsible for keeping brain tissue samples in appropriately saturated artificial cerebrospinal fluid at a very stable temperature. We designed two versions of the ASIC's that can be easily adopted to the system. These are processed in the CMOS 180nm technology and differ with the main parameters that suits for different types of experiments. The ASIC's are dedicated to amplification, filtering, and electrical stimulation of the 256 channels while the Digitizer performs simultaneous data acquisition from 256 channels with 14 kS/s sample rate and 12bit resolution. The resulting byte stream is transmitted to PC via USB (Universal Serial Bus). We also show a neurobiological experiment results that confirm the system is able to keep the extracted brain tissue active (posterior hypothalamic slices) and to record local theta field potentials with very small amplitudes from multiple neurons simultaneously.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"47 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116400999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recently there have been many studies regarding pulse wave velocity (PWV) produced by near-infrared light. However, these studies have used multiple probes with the synchronization problem. This paper proposed a new detecting method to measure PWV on a radial artery with multiple channels in one front-end sensor array. The system was implemented on a MSP430F169 platform and the PWV result was transmitted by RS232 and displayed on the computer screen after being processed. Finally, the PWV result was measured to validate the functionality of the system.
{"title":"A novel near-infrared array based arterial pulse wave measurement method","authors":"Wei-Chin Huang, Hsiang-Wen Hou, Ching-Ju Cheng, Shih-Yang Wu, Tien-Ho Chen, W. Fang","doi":"10.1109/BioCAS.2013.6679635","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679635","url":null,"abstract":"Recently there have been many studies regarding pulse wave velocity (PWV) produced by near-infrared light. However, these studies have used multiple probes with the synchronization problem. This paper proposed a new detecting method to measure PWV on a radial artery with multiple channels in one front-end sensor array. The system was implemented on a MSP430F169 platform and the PWV result was transmitted by RS232 and displayed on the computer screen after being processed. Finally, the PWV result was measured to validate the functionality of the system.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129762476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679655
Xiao Zhang, M. S. Noor, Clinton B. McCracken, Z. Kiss, O. Yadid-Pecht, K. Murari
We present a miniaturized system for spectroscopic imaging of the cerebrovascular response to deep brain stimulation (DBS). The system consists of an optical module with controllable light emitting diode (LED) illumination and focusing optics, and an electronic module with a high-sensitivity complementary metal oxide semiconductor (CMOS) image sensor, an off-chip controller and a microSD card for image storage. The system is a refinement of our previously described integrated imaging microscope (IIM). Key differences include a further reduced footprint with the head-stage occupying less than 1.5 cm3 and weighing under 1.5 gm, pulse width modulation (PWM) control of illumination intensity and improved signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) performance. Electrical and optical characterization and simulation data, and experimental data from an anesthetized rat are presented. Combined with integrated instrumentation for electrical stimulation and electrophysiology, we expect the tether-free, animal mountable system to facilitate understanding the long-term vascular and electrical effects of deep brain stimulation in freely-moving animals.
{"title":"A miniaturized system for imaging vascular response to deep brain stimulation","authors":"Xiao Zhang, M. S. Noor, Clinton B. McCracken, Z. Kiss, O. Yadid-Pecht, K. Murari","doi":"10.1109/BioCAS.2013.6679655","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679655","url":null,"abstract":"We present a miniaturized system for spectroscopic imaging of the cerebrovascular response to deep brain stimulation (DBS). The system consists of an optical module with controllable light emitting diode (LED) illumination and focusing optics, and an electronic module with a high-sensitivity complementary metal oxide semiconductor (CMOS) image sensor, an off-chip controller and a microSD card for image storage. The system is a refinement of our previously described integrated imaging microscope (IIM). Key differences include a further reduced footprint with the head-stage occupying less than 1.5 cm3 and weighing under 1.5 gm, pulse width modulation (PWM) control of illumination intensity and improved signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) performance. Electrical and optical characterization and simulation data, and experimental data from an anesthetized rat are presented. Combined with integrated instrumentation for electrical stimulation and electrophysiology, we expect the tether-free, animal mountable system to facilitate understanding the long-term vascular and electrical effects of deep brain stimulation in freely-moving animals.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130000602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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