Results 21 to 30 of about 301,663 (267)

Lightweight Shufflenet Based CNN for Arrhythmia Classification

open access: yesIEEE Access, 2022
Recent advances in artificial intelligence (AI) and continuous monitoring of patients using wearable devices have enhanced the accuracy of diagnosing various arrhythmias, from the captured Electrocardiogram (ECG) signals.
Huruy Tesfai   +6 more
doaj   +1 more source

A 12-b Subranging SAR ADC Using Detect-and-Skip Switching and Mismatch Calibration for Biopotential Sensing Applications

open access: yesSensors, 2022
This paper presents a 12-b successive approximation register (SAR) analog-to-digital converter (ADC) for biopotential sensing applications. To reduce the digital-to-analog converter (DAC) switching energy of the high-resolution ADC, we combine merged ...
Cong Luong Nguyen   +2 more
doaj   +1 more source

An Improved K-Spare Decomposing Algorithm for Mapping Neural Networks onto Crossbar-Based Neuromorphic Computing Systems

open access: yesJournal of Low Power Electronics and Applications, 2020
Mapping deep neural network (DNN) models onto crossbar-based neuromorphic computing system (NCS) has recently become more popular since it allows us to realize the advantages of DNNs on small computing systems. However, due to the physical limitations of
Thanh D. Dao, Jaeyong Chung
doaj   +1 more source

3.6 mW Active-Electrode ECG/ETI Sensor System Using Wideband Low-Noise Instrumentation Amplifier and High Impedance Balanced Current Driver

open access: yesSensors, 2023
An active electrode (AE) and back-end (BE) integrated system for enhanced electrocardiogram (ECG)/electrode-tissue impedance (ETI) measurement is proposed. The AE consists of a balanced current driver and a preamplifier. To increase the output impedance,
Xuan Tien Nguyen   +2 more
doaj   +1 more source

An Efficient In-Memory Computing Architecture for Image Enhancement in AI Applications

open access: yesIEEE Access, 2022
Random spray retinex (RSR) is an effective image enhancement algorithm owing to its effectiveness in improving the image quality. However, the computing complexity of the algorithm, the required hardware resources, and memory access hamper its deployment
Meriem Bettayeb   +4 more
doaj   +1 more source

Functional debugging of systems-on-chip [PDF]

open access: yes1998 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (IEEE Cat. No.98CB36287), 1998
Due to the exponential growth of both design complexity and the number of gates per pin, functional debugging has emerged as a critical step in the development of a system-on-chip. We introduce a novel debugging approach for programmable systems-on-chip.
Darko Kirovski   +2 more
openaire   +1 more source

Digital Emulation of a Versatile Memristor With Speech Encryption Application

open access: yesIEEE Access, 2019
Memristor characteristics such as nonlinear dynamics, state retention and accumulation are useful for many applications. FPGA implementation of memristor-based systems and algorithms provides fast development and verification platform.
Mohammed F. Tolba   +6 more
doaj   +1 more source

An 11.8-fJ/Conversion-Step Noise Shaping SAR ADC with Embedded Passive Gain for Energy-Efficient IoT Sensors

open access: yesSensors, 2022
Herein, we present a noise shaping successive-approximation-register (SAR) analog-to-digital converter (ADC) with an embedded passive gain multiplication technique.
Changhyung Choi, Jong-Wook Lee
doaj   +1 more source

Chicken skin based Milli Watt range biocompatible triboelectric nanogenerator for biomechanical energy harvesting

open access: yesScientific Reports, 2023
This work reports a high-performance, low-cost, biocompatible triboelectric nanogenerator (TENG) using chicken skin (CS). The device is suitable to power wearable devices, which is critical to adapt electronics in monitoring, predicting, and treating ...
Muhammad Umair Khan   +4 more
doaj   +1 more source

A 0.6-µW Chopper Amplifier Using a Noise-Efficient DC Servo Loop and Squeezed-Inverter Stage for Power-Efficient Biopotential Sensing

open access: yesSensors, 2020
To realize an ultra-low-power and low-noise instrumentation amplifier (IA) for neural and biopotential signal sensing, we investigate two design techniques. The first technique uses a noise-efficient DC servo loop (DSL), which has been shown to be a high
Xuan Thanh Pham   +3 more
doaj   +1 more source

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