EEG Signal Processing with Python

Machine Learning Techniques for Brain-Computer Interface Development

,

Éditeur :

Springer

Paru le : 2026-04-12

Unlock the power of brain-computer interfaces (BCIs) with this practical guide to signal processing and machine learning. Learn to decode neural data using Python, from fundamental techniques to cutting-edge algorithms. Master essential libraries, implement real-time processing, and design your own ...
Voir tout
Ce livre est accessible aux handicaps Voir les informations d'accessibilité
Ebook téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Compatible lecture en ligne (streaming)
58,01
Ajouter à ma liste d'envies
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

À propos


Éditeur

Collection
n.c

Parution
2026-04-12

Pages
190 pages

EAN papier
9789819541768

Auteur(s) du livre


Dr. Ildar Rakhmatulin is a scientist and the creator of several popular open-source brain-computer interfaces (BCI) projects on GitHub. He is the founder of PiEEG, a low-cost BCI solution. His experience includes working as a BCI developer at Imperial College London, a machine learning researcher at Heriot-Watt University, and a researcher in the neurotechnology group at the University of Edinburgh, UK. Additionally, he is the author of neuroscience courses on Udemy. Dr. Ganesh R. Naik is a distinguished biomedical engineer and signal processing expert, recognized within the top 2% of global researchers in his field by Stanford University. Holding a PhD from RMIT University, he has built a robust career marked by significant contributions to academia and research. Currently a senior academic at Torrens University Australia, his extensive publication record includes approximately 150 peer-reviewed papers and 14 edited books. Dr. Naik's expertise is further evidenced by his leadership roles in data analysis for large-scale research projects, particularly in sleep technology, and his development of novel algorithms for wearable devices. He has held prestigious postdoctoral positions at leading Australian institutions and has received numerous accolades, including the Baden-Württemberg Scholarship and the BridgeTech industry fellowship. His influence extends to the editorial realm, where he serves as an associate editor for prominent journals such as IEEE ACCESS and Frontiers in Neurorobotics, solidifying his position as a leading figure in biomedical engineering.

Caractéristiques détaillées - droits

EAN PDF
9789819541775
Prix
58,01 €
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
14111 Ko
EAN EPUB
9789819541775
Prix
58,01 €
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
56699 Ko

Suggestions personnalisées