Optics-Free Chip-Scale Intraoperative Imaging Using NIR-Excited Upconverting Nanoparticles
We present an optics-free CMOS image sensor that incorporates a novel time-gated dual-photodiode pixel design to allow filter- and lens-less image acquisition of near-infrared-excited (NIR-excited) upconverting nanoparticles. Recent biomedical advances have highlighted the benefits of NIR excitation, but NIR interaction with silicon has remained a challenge, even with high-performance optical blocking filters. Using a secondary diode and a dual-photodiode design, this sensor is able to remove the 100s of mV of NIR background on pixels and bring it down to single-digit mV level, nearing its noise floor of 2.2 mV rms, not ac...
Source: IEEE Transactions on Biomedical Circuits and Systems - April 1, 2022 Category: Biomedical Engineering Source Type: research

Wearable Dual Polarized Electromagnetic Knee Imaging System
With the increasing uptake of sport activities, onsite detection of associated knee injuries at early stages is in high demand to avoid severe ligament tear and long treatment period. Portable electromagnetic imaging (EMI) systems have the potential to meet that demand, but there are challenges. For example, EMI is based on the contrast in the dielectric properties due to the accumulated fluid after knee injury. However, that fluid can be in any shape and orientation. Therefore, to capture enough data for processing, EMI should operate as a dual-polarized wearable system with compact antennas. Thus, the proposed system is ...
Source: IEEE Transactions on Biomedical Circuits and Systems - April 1, 2022 Category: Biomedical Engineering Source Type: research

In-Vitro Demonstration of Ultra-Reliable, Wireless and Batteryless Implanted Intracranial Sensors Operated on Loci of Exceptional Points
Vital signal monitoring, such as pulse, respiration rate, intra-organ and intra-vascular pressure, can provide important information for determination of clinic diagnosis, treatments, and surgical protocols. Nowadays, micromachined bioimplants, equipped with antennas for converting bio-signals to modulated radio transmissions, may allow remote continuous monitoring of patients’ vital signs. Yet, current passive biotelemetry techniques usually suffer from poor signal reproducibility and robustness in light of inevitable misalignment between transmitting and receiving antennas. Here, we seek to address this long-exist...
Source: IEEE Transactions on Biomedical Circuits and Systems - April 1, 2022 Category: Biomedical Engineering Source Type: research

Magnetic Tracking System for Heart Surgery
In this study, we develop a unique real-time tracking system which can track the position and orientation of a medical catheter inside a human heart with fast update rate of 200 Hz and high precision of 1.6 mm. The system utilizes a magnetic field-based positioning method involving an efficient solution algorithm, new magnetic field detection hardware and software designs. We show that this type of positioning has the benefits of not needing a line-of-sight between emitter and sensor, supporting a wide dynamic range, and can be applied to other medical systems in need of real-time positioning. (Source: IEEE Transactions on...
Source: IEEE Transactions on Biomedical Circuits and Systems - April 1, 2022 Category: Biomedical Engineering Source Type: research

Data-Driven Real-Time Magnetic Tracking Applied to Myokinetic Interfaces
A new concept of human-machine interface to control hand prostheses based on displacements of multiple magnets implanted in the limb residual muscles, the myokinetic control interface, has been recently proposed. In previous works, magnets localization has been achieved following an optimization procedure to find an approximate solution to an analytical model. To simplify and speed up the localization problem, here we employ machine learning models, namely linear and radial basis functions artificial neural networks, which can translate measured magnetic information to desired commands for active prosthetic devices. They w...
Source: IEEE Transactions on Biomedical Circuits and Systems - April 1, 2022 Category: Biomedical Engineering Source Type: research

A 0.66mW 400 MHz/900 MHz Transmitter IC for In-Body Bio-Sensing Applications
A sub-1GHz transmitter (TX) integrated chip (IC) with ultra-low power consumption and moderately high adjacent channel power rejection (ACPR) is presented for in-body bio-sensing applications. The 400 MHz 12-phase digital power amplifier (DPA) is implemented with the proposed 16QAM modulation scheme to improve the energy efficiency. The TX IC also contains a 900 MHz FSK TX realized with a symmetrical edge-combiner, which can be used in the low accuracy mode. A fully digital modulator with band shaping is integrated on the chip for the improvement of ACPR performance. Fabricated in 65-nm CMOS process, the chip occupies an a...
Source: IEEE Transactions on Biomedical Circuits and Systems - April 1, 2022 Category: Biomedical Engineering Source Type: research

Microwave Microfluidic Sensor for Detection of High Equol Concentrations in Aqueous Solution
This paper presents a Peano fractal geometry complementary split ring resonator (PFCSRR) loaded microstrip transmission line with a microfluidic channel for equol (EQ) sensing in a high and wide range of concentrations in aqueous solution. The proposed sensor was designed based on a CSRR loaded microstrip line with a Peano fractal in the center of a CSRR and validated through simulation and experiment. The microfluidic channel was fabricated using polydimethylsiloxane (PDMS) and installed to cover the sensing area. The free space, empty microfluidic channels, deionized (DI) water, dimethyl sulfoxide (DMSO), and various con...
Source: IEEE Transactions on Biomedical Circuits and Systems - April 1, 2022 Category: Biomedical Engineering Source Type: research

A Highly Miniaturized, Chronically Implanted ASIC for Electrical Nerve Stimulation
We present a wireless, fully implantable device for electrical stimulation of peripheral nerves consisting of a powering coil, a tuning network, a Zener diode, selectable stimulation parameters, and a stimulator IC, all encapsulated in biocompatible silicone. A wireless RF signal at 13.56 MHz powers the implant through the on-chip rectifier. The ASIC, designed in TSMC's 180 nm MS RF G process, occupies an area of less than 1.2 mm2. The IC enables externally selectable current-controlled stimulation through an on-chip read-only memory with a wide range of 32 stimulation parameters (90–750 µA amplitude, ...
Source: IEEE Transactions on Biomedical Circuits and Systems - April 1, 2022 Category: Biomedical Engineering Source Type: research

An Energy Efficient ECG Ventricular Ectopic Beat Classifier Using Binarized CNN for Edge AI Devices
Wearable Artificial Intelligence-of-Things (AIoT) requires edge devices to be resource and energy-efficient. In this paper, we design and implement an efficient binary convolutional neural network (bCNN) algorithm utilizing function-merging and block-reuse techniques to classify between Ventricular and non-Ventricular Ectopic Beat images. We deploy our model into a low-resource low-power field programmable gate array (FPGA) fabric. Our model achieves a classification accuracy of 97.3%, sensitivity of 91.3%, specificity of 98.1%, precision of 86.7%, and F1-score of 88.9%, along with dynami...
Source: IEEE Transactions on Biomedical Circuits and Systems - April 1, 2022 Category: Biomedical Engineering Source Type: research

Design of a Compact Dual-Band Textile Antenna Based on Metasurface
This paper presents a compact textile antenna design based on a metasurface for wearable applications. It operates in the 2.45 GHz and 5.5 GHz industrial, scientific, and medical bands. A two-dimensional equivalent circuit model is proposed to provide insight into the working principle of the metasurface. The tuning of the radiator's resonant frequencies can be easily performed by adjusting the dispersion curve of the metasurface unit cell. The metasurface in this work consists of a 4 × 4 array of unit cells fed by a printed coplanar waveguide structure with a slot in its reverse side to maintain its low prof...
Source: IEEE Transactions on Biomedical Circuits and Systems - April 1, 2022 Category: Biomedical Engineering Source Type: research

A 14-b 20-MS/s 78.8 dB-SNDR Energy-Efficient SAR ADC With Background Mismatch Calibration and Noise-Reduction Techniques for Portable Medical Ultrasound Systems
This paper presents a 14-b 20-MS/s energy-efficient SAR ADC in 65-nm CMOS technology for portable medical ultrasound systems. To break the limitation of the ADC linearity on the DAC size in a SAR ADC, a background mismatch calibration technique is employed. As a result, the thermal noise will be the major constraint for the DAC size. In addition, a compact noise-reduction technique is proposed to alleviate the adverse impact of the input-referred comparator noise on the effective resolution. Moreover, a 2.5-V on-chip LDO, which serves as the reference generator for the ADC core, is also integrated to guarantee the r...
Source: IEEE Transactions on Biomedical Circuits and Systems - April 1, 2022 Category: Biomedical Engineering Source Type: research

A Multimodal Neural-Recording IC With Reconfigurable Analog Front-Ends for Improved Availability and Usability for Recording Channels
In this work, we present an 8-channel reconfigurable multimodal neural-recording IC, which provides improved availability and usability of recording channels in various experiment scenarios. Each recording channel changes its configuration depending on whether the channel is assigned to record voltage or current signal. As a result, although the total number of channels is fixed by design, the channels utilized for voltage and current recording can be set freely and optimally for given experiment targets, scenarios, and circumstances, maximizing the availability and usability of recording channels.The proposed concept was ...
Source: IEEE Transactions on Biomedical Circuits and Systems - April 1, 2022 Category: Biomedical Engineering Source Type: research

Gas Recognition in E-Nose System: A Review
Gas recognition is essential in an electronic nose (E-nose) system, which is responsible for recognizing multivariate responses obtained by gas sensors in various applications. Over the past decades, classical gas recognition approaches such as principal component analysis (PCA) have been widely applied in E-nose systems. In recent years, artificial neural network (ANN) has revolutionized the field of E-nose, especially spiking neural network (SNN). In this paper, we investigate recent gas recognition methods for E-nose, and compare and analyze them in terms of algorithms and hardware implementations. We find each classica...
Source: IEEE Transactions on Biomedical Circuits and Systems - April 1, 2022 Category: Biomedical Engineering Source Type: research

IEEE Transactions on Biomedical Circuits and Systems
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication. (Source: IEEE Transactions on Biomedical Circuits and Systems)
Source: IEEE Transactions on Biomedical Circuits and Systems - April 1, 2022 Category: Biomedical Engineering Source Type: research

Table of Contents
Presents the table of contents for this issue of the publication. (Source: IEEE Transactions on Biomedical Circuits and Systems)
Source: IEEE Transactions on Biomedical Circuits and Systems - April 1, 2022 Category: Biomedical Engineering Source Type: research