Discrimination of EMG signals using a neuromorphic implementation of a spiking neural network
An accurate description of muscular activity plays an important role in the clinical diagnosis
and rehabilitation research. The electromyography (EMG) is the most used technique to …
and rehabilitation research. The electromyography (EMG) is the most used technique to …
An ECG delineation and arrhythmia classification system using slope variation measurement by ternary second-order delta modulators for wearable ECG sensors
This paper presents a system for electrocardiogram (ECG) delineation and arrhythmia
classification. The proposed system consists of a front-end integrated circuit, a delineation …
classification. The proposed system consists of a front-end integrated circuit, a delineation …
A vision-based cattle recognition system using tensorflow for livestock water intake monitoring
This letter presents a new method for identifying individual cattle for the purpose of tracking
and efficiently measuring their daily water intake using a vision-based machine learning …
and efficiently measuring their daily water intake using a vision-based machine learning …
A vision-based system for stage classification of parkinsonian gait using machine learning and synthetic data
JM Chavez, W Tang - Sensors, 2022 - mdpi.com
Parkinson's disease is characterized by abnormal gait, which worsens as the condition
progresses. Although several methods have been able to classify this feature through pose …
progresses. Although several methods have been able to classify this feature through pose …
Real-time in-sensor slope level-crossing sampling for key sampling points selection for wearable and iot devices
This article presents a slope level-crossing sampling analog-to-digital converter (ADC) that
selects key sampling points for quantization in real time during sensing. It only performs …
selects key sampling points for quantization in real time during sensing. It only performs …
A smart sensing system of water quality and intake monitoring for livestock and wild animals
This paper presents a water intake monitoring system for animal agriculture that tracks
individual animal watering behavior, water quality, and water consumption. The system is …
individual animal watering behavior, water quality, and water consumption. The system is …
A fully wireless wearable motion tracking system with 3D human model for gait analysis
K Lee, W Tang - Sensors, 2021 - mdpi.com
This paper presents a wearable motion tracking system with recording and playback
features. This system has been designed for gait analysis and interlimb coordination studies …
features. This system has been designed for gait analysis and interlimb coordination studies …
An autocorrelation-less single-bit Weiner filter on FPGA
Filtering, transformations, and convolution in digital signal processing (DSP) are relatively
resource-intensive algorithms, typically involving massive computations and complex …
resource-intensive algorithms, typically involving massive computations and complex …
SC-SD: Towards low power stochastic computing using sigma delta streams
P Gonzalez-Guerrero, X Guo… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Processing data using Stochastic Computing (SC) requires only~ 7% of the area and power
of the typical binary approach. However, SC has two major drawbacks that eclipse any area …
of the typical binary approach. However, SC has two major drawbacks that eclipse any area …
Computationally efficient low-power sigma delta modulation-based image processing algorithm
Digital Image Processing has dominated Digital Signal Processing at the cost of more
memory, resources, and high computational power. In image processing, filtering …
memory, resources, and high computational power. In image processing, filtering …