scholarly journals Bio‐Signal Recording: Biomimetic Cilia‐Patterned Rubber Electrode Using Ultra Conductive Polydimethylsiloxane (Adv. Funct. Mater. 50/2018)

2018 ◽  
Vol 28 (50) ◽  
pp. 1870359
Author(s):  
Gyeong J. Jin ◽  
M. Jalal Uddin ◽  
Joon S. Shim
Keyword(s):  
Signal Recording ◽  
Biomimetic Cilia

scholarly journals Wafer-Scale Fabrication and Assembly Method of Multichannel Microelectrode Arrays for ECoG Application

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 316
Author(s):  
Cong Wang ◽  
Yu-Chen Wei ◽  
Ho-Kun Sung ◽  
Alok Kumar ◽  
Zhong-Liang Zhou ◽  
...  
Keyword(s):  
Printed Circuit Boards ◽  
Electrochemical Impedance ◽  
Microelectrode Arrays ◽  
Absence Seizure ◽  
Curing Conditions ◽  
Wafer Scale ◽  
In Vivo Test ◽  
Assembly Method ◽  
Signal Recording

High density electrocorticography (ECoG)-based microelectrode arrays (MEAs) are fabricated to timely record the neural activities to provide the fundamental understanding in neuroscience and biomedical engineering. This paper aims to introduce a device-based concept and wafer-scale fabrication process for MEAs. Flexible and biocompatible polyimide is applied on MEAs to bear all possible stress and strain. Detailed fabrication key techniques, including surface treatment, polyimide stability measurement, evaporation process, and curing conditions, have been discussed thoroughly. Moreover, the fabricated polyimide-based MEAs are surface-mounted on well-packaged printed circuit boards (PCBs) via a slot-type connector without any additional wire bonding to make the signal recording process easier. An absence seizure was recorded during the in vivo test, which shows the availability of signal recording based on the presented MEAs. The proposed MEAs could be remained at the skull, while the connector and PCBs can be disassembled apart. Therefore, the testing sample will get less suffering. To verify the robustness of the fabricated MEAs, the impedance properties were characterized using electrochemical impedance spectroscopy. The measured results indicate an average impedance of 12.3 ± 0.675 kΩ at 1 kHz. In total, 10 groups of MEAs were sample tested, and over 90% of the total 60 channels per 1-MEAs operated efficiently.

scholarly journals Development of a portable multi-channel system for plant physiological signal recording

2016 ◽  
Vol 3 (2) ◽  
pp. 124-132 ◽  
Author(s):  
Ting Li ◽  
Zi-Yang Wang ◽  
Dong-Jie Zhao ◽  
Lan Huang ◽  
Zhong-Yi Wang
Keyword(s):  
Channel System ◽  
Physiological Signal ◽  
Signal Recording

Bluetooth Communication Interface for EEG Signal Recording in Hyperbaric Chambers

2015 ◽  
Vol 23 (4) ◽  
pp. 538-547 ◽  
Author(s):  
Lucio Pastena ◽  
Emanuela Formaggio ◽  
Fabio Faralli ◽  
Massimo Melucci ◽  
Marco Rossi ◽  
...  
Keyword(s):  
Eeg Signal ◽  
Communication Interface ◽  
Bluetooth Communication ◽  
Signal Recording

scholarly journals ELECTROCORTICOGRAPHY-BASED BRAIN COMPUTER INTERFACE FOR PEDIATRIC PATIENT: CHALLENGE ON THE HORIZON

2019 ◽  
Vol 5 (1) ◽  
pp. 91
Author(s):  
Abdi - Reza
Keyword(s):  
Clinical Trials ◽  
Nervous System ◽  
Pediatric Patient ◽  
Brain Computer Interface ◽  
Computer Interface ◽  
Technical Solution ◽  
Medical Purpose ◽  
Medical Problems ◽  
Computer Device ◽  
Signal Recording

Electrocorticography-based brain computer interface has accepted recognition as modality connecting human brain to computer device for its signal recording excellence and stability. Implantation for medical purpose has welcomed this modality for bypassing existing nervous system and natural organ to create alternative solution towards previously-unsolved medical problems. Clinical trials have already initiated for Electrocorticography-based BCI implantation in adult. Therefore, bridging a direct brain to computer connectivity in pediatric patient should also become possible. However, several characteristics has made Electrocorticography-based BCI for pediatric patient more complex and should await for further technical solution rather than its adult counterparts. Penghubung otak-komputer berbasis elektrokortikografi telah diakui sebagai metode menghubungkan sinyal otak langsung ke komputer dengan kualitas dan stabilitas perekaman sinyal yang andal. Sinyal otak yang dihubungkan langsung ke komputer dapat memberikan pertolongan bagi pasien dengan kelumpuhan oleh berbagai sebab. Uji penerapan klinis dengan implantasi penghubung otak-komputer berbasis elektrokortikografi telah diujilaksanakan pada pasien dewasa (Vastenseel et al., 2016). Dimasa mendatang, kelompok pasien anak diharapkan dapat memperoleh manfaat dari terobosan teknologi kedokteran tersebut. Beberapa perbedaan karakteristik antara pasien dewasa dan anak membatasi kemungkinan implantasi jangka panjang pasien anak. Solusi bersama ilmu kedokteran dan teknik akan membuka kesempatan dimasa datang bagi implantasi elektroda pada anak.

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