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1.
IEEE Trans Biomed Circuits Syst ; 14(4): 727-737, 2020 08.
Artículo en Inglés | MEDLINE | ID: mdl-32746342

RESUMEN

In the past few years it has been demonstrated that electroencephalography (EEG) can be recorded from inside the ear (in-ear EEG). To open the door to low-profile earpieces as wearable brain-computer interfaces (BCIs), this work presents a practical in-ear EEG device based on multiple dry electrodes, a user-generic design, and a lightweight wireless interface for streaming data and device programming. The earpiece is designed for improved ear canal contact across a wide population of users and is fabricated in a low-cost and scalable manufacturing process based on standard techniques such as vacuum forming, plasma-treatment, and spray coating. A 2.5 × 2.5 cm2 wireless recording module is designed to record and stream data wirelessly to a host computer. Performance was evaluated on three human subjects over three months and compared with clinical-grade wet scalp EEG recordings. Recordings of spontaneous and evoked physiological signals, eye-blinks, alpha rhythm, and the auditory steady-state response (ASSR), are presented. This is the first wireless in-ear EEG to our knowledge to incorporate a dry multielectrode, user-generic design. The user-generic ear EEG recorded a mean alpha modulation of 2.17, outperforming the state-of-the-art in dry electrode in-ear EEG systems.


Asunto(s)
Interfaces Cerebro-Computador , Oído/fisiología , Electroencefalografía/instrumentación , Dispositivos Electrónicos Vestibles , Tecnología Inalámbrica/instrumentación , Parpadeo/fisiología , Encéfalo/fisiología , Electrodos , Diseño de Equipo , Humanos , Cuero Cabelludo/fisiología
2.
Nat Biomed Eng ; 3(1): 15-26, 2019 01.
Artículo en Inglés | MEDLINE | ID: mdl-30932068

RESUMEN

Closed-loop neuromodulation systems aim to treat a variety of neurological conditions by delivering and adjusting therapeutic electrical stimulation in response to a patient's neural state, recorded in real time. Existing systems are limited by low channel counts, lack of algorithmic flexibility, and the distortion of recorded signals by large and persistent stimulation artefacts. Here, we describe an artefact-free wireless neuromodulation device that enables research applications requiring high-throughput data streaming, low-latency biosignal processing, and simultaneous sensing and stimulation. The device is a miniaturized neural interface capable of closed-loop recording and stimulation on 128 channels, with on-board processing to fully cancel stimulation artefacts. In addition, it can detect neural biomarkers and automatically adjust stimulation parameters in closed-loop mode. In a behaving non-human primate, the device enabled long-term recordings of local field potentials and the real-time cancellation of stimulation artefacts, as well as closed-loop stimulation to disrupt movement preparatory activity during a delayed-reach task. The neuromodulation device may help advance neuroscientific discovery and preclinical investigations of stimulation-based therapeutic interventions.


Asunto(s)
Algoritmos , Artefactos , Estimulación Eléctrica/instrumentación , Tecnología Inalámbrica , Potenciales de Acción , Animales , Biomarcadores/metabolismo , Encéfalo/fisiología , Diseño Asistido por Computadora , Macaca mulatta , Masculino , Procesamiento de Señales Asistido por Computador , Análisis y Desempeño de Tareas
3.
Annu Int Conf IEEE Eng Med Biol Soc ; 2016: 4471-4474, 2016 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-28269271

RESUMEN

A distributed, modular, intelligent, and efficient neuromodulation device, called OMNI, is presented. It supports closed-loop recording and stimulation on 256 channels from up to 4 physically distinct neuromodulation modules placed in any configuration around the brain, hence offering the capability of addressing neural disorders that are presented at the network level. The specific focus of this paper is the communication and power distribution network that enables the modular and distributed nature of the device.


Asunto(s)
Encéfalo/fisiología , Terapia por Estimulación Eléctrica/instrumentación , Redes de Comunicación de Computadores , Suministros de Energía Eléctrica , Diseño de Equipo , Humanos
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