A Wireless Portable Platform for Physiological Potentials Registration and Processing: A Unified Approach
@inproceedings{Shusharina2017AWP, title={A Wireless Portable Platform for Physiological Potentials Registration and Processing: A Unified Approach}, author={Natalia N. Shusharina and V. A. Petrov}, year={2017} }
The majority of modern human-machine interfaces are based on the registration of electro-physiological and biometric parameters of the human body, such as electroencephalography, electromyography and electrooculography signals. Although there is a number of scientific, medical and consumer equipment capable of biosignal registration, but each of them has its drawbacks. The immediate objective of this work is to design the modular platform for registration and onboard processing of…
No Paper Link Available
One Citation
Electroencephalogram-based emotion recognition using a convolutional neural network
- Computer ScienceBulletin of Russian State Medical University
- 2019
The results of this experiment suggest that convolutional neural networks in general and the proposed architecture in particular hold great promise for emotion recognition based on electrophysiological signals.
28 References
Comparison of an Open-hardware Electroencephalography Amplifier with Medical Grade Device in Brain-computer Interface Applications
- Computer SciencePhyCS
- 2016
Compared side by side two EEG amplifiers, the consumer grade OpenBCI and the medical grade g.tec g.USBamp, the former gives very close EEG readings, resulting in practice in a classification accuracy that may be suitable for popularizing BCI uses.
Design and simulation of cost effective wireless EEG acquisition system for patient monitoring
- Computer Science2014 International Conference on Informatics, Electronics & Vision (ICIEV)
- 2014
The motive of this paper is to design a low cost wireless EEG acquisition system for easily monitoring of the patient which includes data acquisition, data transmission, and receiving unit which contains the patient monitoring site.
Increasing trend of wearables and multimodal interface for human activity monitoring: A review.
- Computer ScienceBiosensors & bioelectronics
- 2017
A Survey of Wearable Biometric Recognition Systems
- Computer ScienceACM Comput. Surv.
- 2016
This article reviews and provides a categorization of wearable sensors useful for capturing biometric signals, and analyses the computational cost of the different signal processing techniques, an important practical factor in constrained devices such as wearables.
An EEG analog front-end design with wireless communication module for a portable EEG monitoring system
- Computer Science2015 IEEE 5th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)
- 2015
The wireless EEG acquisition system includes an analog front-end readout chipset (AFERC) with extendable channel, a low-power MSP430 microcontroller from Texas Instruments and a commercial Bluetooth 2.0 module.
Multifunctional Neurodevice for Recognition of Electrophysiological Signals and Data Transmission in an Exoskeleton Construction
- Medicine
- 2016
The provisional results of a research work to develop the multifunctional neurodevice with the ability to transfer data to an exoskeleton construction, which would help to reintegrate people with disabilities into society by connecting them to the robotic technique, to the exoskeletons.
Wearable Wireless Health Monitoring: Current Developments, Challenges, and Future Trends
- Computer ScienceIEEE Microwave Magazine
- 2015
The latest developments in body-worn wireless health-monitoring systems and their current challenges and limitations are reviewed and future trends for such worn devices for these applications are discussed.
Brain-machine interfaces: an overview
- Biology
- 2014
Although noninvasive BMIs are safe and easy to implement, their information bandwidth is limited, and invasive BMIs hold promise to improve the bandwidth by utilizing multichannel recordings from ensembles of brain neurons.
Design and Optimization of an EEG-Based Brain Machine Interface (BMI) to an Upper-Limb Exoskeleton for Stroke Survivors
- MedicineFront. Neurosci.
- 2016
Evidence is provided that closed-loop EEG-based BMI for stroke patients can be designed and optimized to perform well across multiple days without system recalibration and can accommodate a broad spectrum of stroke patients with diverse motor capabilities.
Wearable and Autonomous Biomedical Devices and Systems for Smart Environment: Issues and Characterization
- Computer Science
- 2010
This book is dedicated to wearable and autonomous systems, including devices, offers to variety of users, namely, master degree students, researchers and practitioners, An opportunity of a dedicated…