Cargando…
A Multichannel Convolutional Neural Network Architecture for the Detection of the State of Mind Using Physiological Signals from Wearable Devices
Detection of the state of mind has increasingly grown into a much favored study in recent years. After the advent of smart wearables in the market, each individual now expects to be delivered with state-of-the-art reports about his body. The most dominant wearables in the market often focus on gener...
Autores principales: | Chakraborty, Sabyasachi, Aich, Satyabrata, Joo, Moon-il, Sain, Mangal, Kim, Hee-Cheol |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6794971/ https://www.ncbi.nlm.nih.gov/pubmed/31687119 http://dx.doi.org/10.1155/2019/5397814 |
Ejemplares similares
-
Detection of Parkinson’s Disease from 3T T1 Weighted MRI Scans Using 3D Convolutional Neural Network
por: Chakraborty, Sabyasachi, et al.
Publicado: (2020) -
3D Textural, Morphological and Statistical Analysis of Voxel of Interests in 3T MRI Scans for the Detection of Parkinson’s Disease Using Artificial Neural Networks
por: Chakraborty, Sabyasachi, et al.
Publicado: (2020) -
Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson's Patients
por: Aich, Satyabrata, et al.
Publicado: (2020) -
Development of a System for Storing and Executing Bio-Signal Analysis Algorithms Developed in Different Languages
por: Joo, Moon-Il, et al.
Publicado: (2021) -
A Supervised Machine Learning Approach to Detect the On/Off State in Parkinson’s Disease Using Wearable Based Gait Signals
por: Aich, Satyabrata, et al.
Publicado: (2020)