Wireless power transfer and telemetry for implantable bioelectronics
Implantable bioelectronic devices are becoming useful and prospective solutions for various
diseases owing to their ability to monitor or manipulate body functions. However …
diseases owing to their ability to monitor or manipulate body functions. However …
Wearable super-resolution muscle–machine interfacing
Muscles are the actuators of all human actions, from daily work and life to communication
and expression of emotions. Myography records the signals from muscle activities as an …
and expression of emotions. Myography records the signals from muscle activities as an …
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 …
energy-efficient. In this paper, we design and implement an efficient binary convolutional …
Low complexity binarized 2d-cnn classifier for wearable edge ai devices
Wearable Artificial Intelligence-of-Things (AIoT) devices exhibit the need to be resource and
energy-efficient. In this paper, we introduced a quantized multilayer perceptron (qMLP) for …
energy-efficient. In this paper, we introduced a quantized multilayer perceptron (qMLP) for …
Floating EMG sensors and stimulators wirelessly powered and operated by volume conduction for networked neuroprosthetics
L Becerra-Fajardo, MO Krob, J Minguillon… - Journal of …, 2022 - Springer
Background Implantable neuroprostheses consisting of a central electronic unit wired to
electrodes benefit thousands of patients worldwide. However, they present limitations that …
electrodes benefit thousands of patients worldwide. However, they present limitations that …
A highly miniaturized, chronically implanted ASIC for electrical nerve stimulation
JV Shah, CJ Quinkert, BJ Collar… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
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 …
consisting of a powering coil, a tuning network, a Zener diode, selectable stimulation …
Resource and energy efficient implementation of ECG classifier using binarized CNN for edge AI devices
Wearable Artificial Intelligence-of-Things (AIoT) devices demand smart gadgets that are both
resource and energy-efficient. In this paper, we explore efficient implementation of binary …
resource and energy-efficient. In this paper, we explore efficient implementation of binary …
Long-term Implanted Flexible Neural Interfaces for Electrophysiological Monitoring
B Chen, J Lu, Z Chen, X Han, Y Sun, X Lin… - Journal of Materials …, 2025 - pubs.rsc.org
With the rapid advancements in materials science, engineering, and microelectronics
technology, intelligent dynamic prostheses, guided by motion intention, are progressively …
technology, intelligent dynamic prostheses, guided by motion intention, are progressively …
[PDF][PDF] Model of spinal cord lateral hemi-excision at the lower thoracic level for the tasks of reconstructive and experimental neurosurgery
V Medvediev, I Abdallah, N Draguntsova, S Savosko… - 2021 - ir.librarynmu.com
Purpose. To test the model of spinal cord lateral hemiexcision in young rats. Materials and
methods. Animals‒male rats (age about 1 month, body weight about 50 g, inbred …
methods. Animals‒male rats (age about 1 month, body weight about 50 g, inbred …
Double-differential amplifier for sEMG measurement by means of a current-mode approach
This work proposes a Double Differential (DD) amplifier topology which exploits the
advantages of the current-mode approach. DD amplifiers are useful as front-ends in …
advantages of the current-mode approach. DD amplifiers are useful as front-ends in …