EMG pattern recognition in the era of big data and deep learning
The increasing amount of data in electromyographic (EMG) signal research has greatly
increased the importance of develo** advanced data analysis and machine learning …
increased the importance of develo** advanced data analysis and machine learning …
Machine learning methods, databases and tools for drug combination prediction
L Wu, Y Wen, D Leng, Q Zhang, C Dai… - Briefings in …, 2022 - academic.oup.com
Combination therapy has shown an obvious efficacy on complex diseases and can greatly
reduce the development of drug resistance. However, even with high-throughput screens …
reduce the development of drug resistance. However, even with high-throughput screens …
Assessment of punching shear strength of FRP-RC slab-column connections using machine learning algorithms
Recently, the use of fiber-reinforced polymer (FRP) bars replacing steel reinforcement has
been widely applied to overcome the corrosion issue, particularly concrete slab-column …
been widely applied to overcome the corrosion issue, particularly concrete slab-column …
Artificial intelligence in drug combination therapy
IF Tsigelny - Briefings in bioinformatics, 2019 - academic.oup.com
Currently, the development of medicines for complex diseases requires the development of
combination drug therapies. It is necessary because in many cases, one drug cannot target …
combination drug therapies. It is necessary because in many cases, one drug cannot target …
Golf swing segmentation from a single IMU using machine learning
Golf swing segmentation with inertial measurement units (IMUs) is an essential process for
swing analysis using wearables. However, no attempt has been made to apply machine …
swing analysis using wearables. However, no attempt has been made to apply machine …
A review of dynamic models and measurements in golf
J McPhee - Sports Engineering, 2022 - Springer
A narrative review of dynamic models of golf phenomena is presented, as well as current
technologies for measuring the motions of a golfer, club, and ball. Kinematic and dynamic …
technologies for measuring the motions of a golfer, club, and ball. Kinematic and dynamic …
Sock-type wearable sensor for estimating lower leg muscle activity using distal EMG signals
T Isezaki, H Kadone, A Niijima, R Aoki, T Watanabe… - Sensors, 2019 - mdpi.com
Lower leg muscle activity contributes to body control; thus, monitoring lower leg muscle
activity is beneficial to understand the body condition and prevent accidents such as falls …
activity is beneficial to understand the body condition and prevent accidents such as falls …
A novel spatial feature for the identification of motor tasks using high-density electromyography
Estimation of neuromuscular intention using electromyography (EMG) and pattern
recognition is still an open problem. One of the reasons is that the pattern-recognition …
recognition is still an open problem. One of the reasons is that the pattern-recognition …
Comparing the performance of machine learning methods in estimating the shear wave transit time in one of the reservoirs in southwest of Iran
Shear wave transit time is a crucial parameter in petroleum engineering and geomechanical
modeling with significant implications for reservoir performance and rock behavior …
modeling with significant implications for reservoir performance and rock behavior …
Dimensionality reduction for classification of object weight from electromyography
Electromyography (EMG) is a simple, non-invasive, and cost-effective technology for
measuring muscle activity. However, multi-muscle EMG is also a noisy, complex, and high …
measuring muscle activity. However, multi-muscle EMG is also a noisy, complex, and high …