In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data. However, within the field electromyography-based gesture recognition, are seldom employed as they require an unreasonable amount effort a single person, generate tens thousands examples. This paper's hypothesis is that general, informative can be learned data generated by aggregating signals multiple users,...

Radar-based microwave imaging has been widely studied for breast cancer detection in recent times. Sensing dielectric property differences of tissues over a wide frequency band this application. We design single- and dual-polarization antennas wireless ultrawideband systems using an inhomogeneous multilayer model the human breast. Antennas made from flexible materials are more easily adapted to wearable applications. Miniaturized monopole spiral on 50-μm Kapton polyimide designed,...

In this work, we present a clinical prototype with wearable patient interface for microwave breast cancer detection. The long-term aim of the is health monitoring application. system operates using multistatic time-domain pulsed radar, 16 flexible antennas embedded into bra. Unlike previously reported, table-based rigid cup-like holder, one requires no immersion medium and enables simple localization surface. comparison prototype, also significantly more cost-effective has smaller footprint....

We present a multichip structure assembled with medical-grade stainless-steel microelectrode array intended for neural recordings from multiple channels. The design features mixed-signal integrated circuit (IC) that handles conditioning, digitization, and time-division multiplexing of signals, digital IC provides control, bandwidth reduction, data communications telemetry toward remote host. Bandwidth reduction is achieved through action potential detection complete capture waveforms by...

We present in this paper a low-power bioamplifier suitable for massive integration dense multichannel recording devices. This achieves reduced-size compared to previous designs by means of active low-frequency suppression. An integrator located the feedback path low-noise amplifier is employed placing highpass cutoff frequency within transfer function. A very long integrating time constant achieved using small integrated capacitor and MOS-bipolar equivalent resistor. configuration rejects...

In the realm of surface electromyography (sEMG) gesture recognition, deep learning algorithms are seldom employed. This is due in part to large quantity data required for them train on. Consequently, it would be prohibitively time consuming a single user generate sufficient amount training such algorithms. this paper, two datasets 18 and 17 able-bodied participants respectively recorded using low-cost, low-sampling rate (200Hz), 8-channel, consumer-grade, dry electrode sEMG device named Myo...

This paper presents a real-time fine gesture recognition system for multi-articulating hand prosthesis control, using an embedded convolutional neural network (CNN) to classify hand-muscle contractions sensed at the forearm. The sensor consists in custom non-intrusive, compact, and easy-to-install 32-channel high-density surface electromyography (HDsEMG) electrode array, built on flexible printed circuit board (PCB) allow wrapping around provides low-noise digitization interface with...

This paper presents a novel resonance-based multicoil array structure to wirelessly charge or power up apparatus, like smart phones, computer mouses, animal research systems, implanted medical devices. The proposed consists of inductive link, whose primary resonator is made several identical coil elements connected in parallel and arranged an array. Such key features compared previous arrays. approach can do the following: 1) deliver with superior efficiency over longer separation distances;...

Implanted antennas for implant-to-air data communications must be composed of material compatible with biological tissues. We design single and dual-polarization wireless ultra-wideband neural recording systems using an inhomogeneous multi-layer model the human head. Antennas made from flexible materials are more easily adapted to implantation; we investigate both rigid examine performance trade-offs. The proposed designed operate in a frequency range 2–11 GHz (having <formula...

Recently, robotics has been seen as a key solution to improve the quality of life amputees. In order create smarter robotic prosthetic devices be used in an everyday context, one must able interface them seamlessly with end-user inexpensive, yet reliable way. this paper, we are looking at guiding device by detecting gestures through measurement electrical activity muscles captured surface electromyography (sEMG). Reliable sEMG-based gesture classifiers for end-users challenging design, they...

Existing research on myoelectric control systems primarily focuses extracting discriminative characteristics of the electromyographic (EMG) signal by designing handcrafted features. Recently,however, deep learning techniques have been applied to challenging task EMG-based gesture recognition. The adoption these slowly shifts focus from feature engineering learning. Nevertheless, black-box nature makes it hard understand type information learned network and how relates Additionally, due high...

We present a low-power complementary metal-oxide semiconductor (CMOS) analog integrated biopotential detector intended for neural recording in wireless multichannel implants. The proposed can achieve accurate automatic discrimination of action potential (APs) from the background activity by means an energy-based preprocessor and linear delay element. This strategy improves detected waveforms integrity prompts better performance prostheses. element is implemented with continuous-time filter...

This paper presents a wireless headstage with real-time spike detection and data compression for combined optogenetics multichannel electrophysiological recording. The proposed headstage, which is intended to perform both optical stimulation recordings simultaneously in freely moving transgenic rodents, entirely built commercial off-the-shelf components, includes 32 recording channels channels. It can detect, compress transmit full action potential waveforms over parallel real time using an...

We present a novel, fully-integrated, low-power full-duplex transceiver (FDT) to support high-density and bidirectional neural interfacing applications (high-channel count stimulating recording) with asymmetric data rates: higher rates are required for recording (uplink signals) than stimulation (downlink signals). The transmitter (TX) receiver (RX) share single antenna reduce implant size complexity. TX uses impulse radio ultra-wide band (IR-UWB) based on an edge combining approach, the RX...

Tongue drive system (TDS) is a tongue-operated, minimally invasive, unobtrusive, and wireless assistive technology (AT) that infers users' intentions by detecting their voluntary tongue motion translating them into user-defined commands. Here we present the new intraoral version of TDS (iTDS), which has been implemented in form dental retainer. The iTDS system-on-a-chip (SoC) features configurable analog front-end (AFE) reads magnetic field variations inside mouth from four 3-axial...

Ultrawideband (UWB) short-range communication systems have proved to be valuable in medical technology, particularly for implanted devices, due their low-power consumption, low cost, small size, and high data rates. Neural activity monitoring the brain requires rate (800 kb/s per neural sensor), we target a system supporting large number of sensors, particular, aggregate transmission above 430 Mb/s (∼512 sensors). Knowledge channel behavior is required determine maximum allowable power 1)...

Wireless body sensors are increasingly used by clinicians and researchers in a wide range of applications, such as sports, space engineering, medicine. Monitoring vital signs real time can dramatically increase diagnosis accuracy enable automatic curing procedures, e.g., detect stop epilepsy or narcolepsy seizures. Breathing parameters critical oxygen therapy, hospital, ambulatory monitoring, while the assessment cough severity is essential when dealing with several diseases, chronic...

Studying brain activity in vivo requires collecting bioelectrical signals from several microelectrodes simultaneously order to capture neuron interactions. In this work, we present a new current-reuse analog front-end (AFE), which is scalable very large numbers of recording channels, thanks its small implementation silicon area and low-power consumption. This AFE, including low-noise amplifier (LNA) programmable gain (PGA), employs fully differential current-mirror topology using fewer...

Wearable technology can be employed to elevate the abilities of humans perform demanding and complex tasks more efficiently. Armbands capable surface electromyography (sEMG) are attractive noninvasive devices from which human intent derived by leveraging machine learning. However, sEMG acquisition systems currently available tend prohibitively costly for personal use or sacrifice wearability signal quality affordable. This work introduces 3DC Armband designed Biomedical Microsystems...

Myoelectric hand prostheses offer a way for upper-limb amputees to recover gesture and prehensile abilities ease rehabilitation daily life activities. However, studies with prosthesis users found that lack of intuitiveness ease-of-use in the human-machine control interface are among main driving factors low user acceptance these devices. This paper proposes highly intuitive, responsive reliable real-time myoelectric strategy an emphasis on demonstration report evaluation metrics. The...

This paper presents a novel experimental chamber with uniform wireless power distribution in 3D for enabling long-term biomedical experiments small freely moving animal subjects. The implemented transmission prototype is based on arrays of parallel resonators and multicoil inductive links, to form highly efficient system. transmitter unit includes several identical enclosed scalable array overlapping square coils which are connected provide along x y. Moreover, the proposed uses two primary...