1.
Annu Int Conf IEEE Eng Med Biol Soc
; 2022: 3619-3622, 2022 07.
Article
in English
| MEDLINE
| ID: mdl-36086326
ABSTRACT
Electromyography (EMG) has been used as an interface for the control of robotic hands for decades but with the improvement of embedded electronics and decoding algorithms, many applications are now envisaged by companies. Deep learning has shown the possibility to increase decoding performance but it requires large amounts of data to show its full capabilities. However, recording such amounts of EMG signals face several issues since recording hours of data from patients is very time-consuming and can result in muscle fatigue. We explore a deep learning data augmentation strategy using generative adversarial networks (GANs) to create high-quality synthetic data to increase the performance of grasp classification.
Subject(s)
Algorithms , Neural Networks, Computer , Electromyography , Hand Strength , Humans , Muscle Fatigue
2.
Acta Paediatr Belg
; 24(5): 529-38, 1970.
Article
in French
| MEDLINE
| ID: mdl-5508712
Subject(s)
Cystic Fibrosis/diagnosis , Sweat/analysis , Adolescent , Adult , Age Factors , Aged , Child , Child, Preschool , Chlorine/analysis , Humans , Infant , Iontophoresis , Middle Aged , Sodium/analysis , Sweating
3.
Pathol Biol
; 16(15): 705-14, 1968.
Article
in French
| MEDLINE
| ID: mdl-4933712