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TOC Alert for Publication# 4156126 2014October 30<![CDATA[Table of contents]]>84C1C1205<![CDATA[IEEE Transactions on Biomedical Circuits and Systems publication information]]>84C2C2147<![CDATA[Asynchronous Binaural Spatial Audition Sensor With 2<formula formulatype="inline"><tex Notation="TeX">$,times,$</tex></formula>64<formula formulatype="inline"><tex Notation="TeX">$,times,$</tex></formula>4 Channel Output]]>844534642149<![CDATA[Real-Time Embedded Implementation of the Binary Mask Algorithm for Hearing Prosthetics]]>844654731474<![CDATA[A Real-Time Research Platform to Study Vestibular Implants With Gyroscopic Inputs in Vestibular Deficient Subjects]]>844744841556<![CDATA[An Efficient and Compact Compressed Sensing Microsystem for Implantable Neural Recordings]]>844854962498<![CDATA[A 2.4 GHz ULP Reconfigurable Asymmetric Transceiver for Single-Chip Wireless Neural Recording IC]]>844975092714<![CDATA[A Frequency Shaping Neural Recorder With 3 pF Input Capacitance and 11 Plus 4.5 Bits Dynamic Range]]>845105275655<![CDATA[A Digitally Assisted, Signal Folding Neural Recording Amplifier]]>n characteristics of neural signals is described in this paper. The amplified output is `folded' into a predefined range of voltages by using comparison and reset circuits along with the core amplifier. After this output signal is digitized and transmitted, a reconstruction algorithm can be applied in the digital domain to recover the amplified signal from the folded waveform. This scheme enables the use of an analog-to-digital convertor with less number of bits for the same effective dynamic range. It also reduces the transmission data rate of the recording chip. Both of these features allow power and area savings at the system level. Other advantages of the proposed topology are increased reliability due to the removal of pseudo-resistors, lower harmonic distortion and low-voltage operation. An analysis of the reconstruction error introduced by this scheme is presented along with a behavioral model to provide a quick estimate of the post reconstruction dynamic range. Measurement results from two different core amplifier designs in 65 nm and 180 nm CMOS processes are presented to prove the generality of the proposed scheme in the neural recording applications. Operating from a 1 V power supply, the amplifier in 180 nm CMOS has a gain of 54.2 dB, bandwidth of 5.7 kHz, input referred noise of 3.8 μV_{rms} and power dissipation of 2.52 μW leading to a NEF of 3.1 in spike band. It exhibits a dynamic range of 66 dB and maximum SNDR of 43 dB in LFP band. It also reduces system level power (by reducing the number of bits in the ADC by 2) as well as data rate to 80% of a conventional design. In vivo measurements validate the ability of this amplifier to simultaneously record spike and LFP signals.]]>845285423234<![CDATA[Programmable ExG Biopotential Front-End IC for Wearable Applications]]>2, achieves a CMRR > 97 dB, and 21 nV/√Hz input-referred noise. The chip is suited for combination with a microcontroller in long-term wearable physiological sensing applications.]]>845435511978<![CDATA[A DSP for Sensing the Bladder Volume Through Afferent Neural Pathways]]>845525641704<![CDATA[A Low Power Sub-<formula formulatype="inline"><tex Notation="TeX">$mu$</tex></formula>W Chemical Gilbert Cell for ISFET Differential Reaction Monitoring]]>845655741554<![CDATA[High-Power CMOS Current Driver With Accurate Transconductance for Electrical Impedance Tomography]]>2. It operates from a ± 9 V power supply and can deliver output currents up to 5 mA p-p. The accuracy of the maximum output current is within 0.41% up to 500 kHz, reducing to 0.47% at 1 MHz with a total harmonic distortion of 0.69%. The output impedance is 665 kΩ at 100 kHz and 372 kΩ at 500 kHz.]]>845755831568<![CDATA[Noncontact Proximity Vital Sign Sensor Based on PLL for Sensitivity Enhancement]]>°C temperature range and discrete component tolerance of ±5%. Total frequency variation occurs in the capture range of the PLL which is 60 MHz. Thus, its loop control voltage converts the amount of frequency deviation into a difference of direct current (DC) voltage, which is utilized to extract vital signs regardless of the ambient temperature. The experimental results reveal that the proposed sensor placed 50 mm away from a subject can reliably detect respiration and heartbeat signals without the ambiguity of harmonic signals caused by respiration signal at an operating frequency of 2.4 GHz.]]>845845932678<![CDATA[Shape-Preserving Preprocessing for Human Pulse Signals Based on Adaptive Parameter Determination]]>845946042096<![CDATA[IEEE Transactions on Biomedical Circuits and Systems society information]]>84C3C392<![CDATA[[Blank page - back cover]]]>84C4C45