An Active Concentric Electrode for Concurrent EEG Recording and Body-Coupled Communication (BCC) Data Transmission

Tang, Tao; Yan, Lei; Park, Jeong Hoan; Wu, Han; Li, Jiamin; Dong, Youming; Lee, Ho Yin Benjamin; Yoo, Jerald

doi:10.1109/tbcas.2020.3039353

Cited by 15 publications

(8 citation statements)

References 38 publications

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“…For concurrently monitoring EEG signals, in [ 55 ] a wearable active concentric electrode was presented, with body-coupled communication (BCC)-based concurrent recording/transmitting (see Figure 20 ). The presented system achieves 100 dB CMRR with a power consumption of 7.4

W.…”

Section: Biomedical Amplifiers and Various Designsmentioning

confidence: 99%

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Amplifiers in Biomedical Engineering: A Review from Application Perspectives

Kouhalvandi

Matekovits

Peter

2023

Sensors

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Continuous monitoring and treatment of various diseases with biomedical technologies and wearable electronics has become significantly important. The healthcare area is an important, evolving field that, among other things, requires electronic and micro-electromechanical technologies. Designed circuits and smart devices can lead to reduced hospitalization time and hospitals equipped with high-quality equipment. Some of these devices can also be implanted inside the body. Recently, various implanted electronic devices for monitoring and diagnosing diseases have been presented. These instruments require communication links through wireless technologies. In the transmitters of these devices, power amplifiers are the most important components and their performance plays important roles. This paper is devoted to collecting and providing a comprehensive review on the various designed implanted amplifiers for advanced biomedical applications. The reported amplifiers vary with respect to the class/type of amplifier, implemented CMOS technology, frequency band, output power, and the overall efficiency of the designs. The purpose of the authors is to provide a general view of the available solutions, and any researcher can obtain suitable circuit designs that can be selected for their problem by reading this survey.

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W.…”

Section: Biomedical Amplifiers and Various Designsmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Amplifiers in Biomedical Engineering: A Review from Application Perspectives

Kouhalvandi

Matekovits

Peter

2023

Sensors

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“…To alleviate the problem of transmission signal reduction while maintaining the quality of service, F I G U R E 2 Main components required to implement an all-day monitoring system communication methods (adaptive channel coding, 27,28 transmission power scaling, 29 multiple-input multiple-output [MIMO], 30,31 novel transceiver architecture, 32 and QoSaware media access protocols 33 ) are reported. Technological advancements likewise smart textiles, 34,35 magnetic induction, [36][37][38][39] and body-coupled communications [40][41][42] also show potential. Smart textiles can reduce telecommunication power overhead and simplify networking schemes to improve market utilization by lowering costs, ensuring ease of cleaning, and encouraging standardization in manufacturing.…”

Section: Communicationmentioning

confidence: 99%

All‐day wearable health monitoring system

Han

Naqi

Kim

et al. 2022

EcoMat

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Wearable devices are widely used in the smart healthcare monitoring system to detect changes in user parameters through applications such as wristwatches, bands, and clothing electronic skin. In addition, multimode devices enable monitoring of vital signs, helping diagnose and prevent diseases. A wearable device detects the user's biological signals such as body temperature, movement, heartbeat, and humidity level, transmits the information to the mobile phone, and sends the information to an emergency center/family/clinician through cloud computing or wireless communication systems. This all‐day monitoring system enables the user's status information to be monitored 24 h a day to ensure appropriate treatment, thereby facilitating highly personalized care due to its human‐centricity. When integrated with higher‐level infrastructure, it is expected to be useful in healthcare scenarios, providing benefits to multiple stakeholders. In addition, it will help protect people exposed to potentially life‐threatening environments such as military personnel, first responders, and deep‐sea and space explorers. In this review, the components for implementing an all‐day monitoring system are described, including the electrode design strategy for realizing a skin attachable e‐skin device. Issues related to flexible storage devices and recent research results are also discussed.

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“…The surface EEG electrodes suffer from multiple noise sources-extrinsically (e.g., loose contact of the surface electrode and sudden rapid body movement of patients) and intrinsically (e.g., dramatic emotional change of patient) [25]- [29]. Transient and localized noise is introduced in the surface EEG signal, which could lead to a high FPR and FNR.…”

Section: B Time-channel Averaging Feature Extractionmentioning

confidence: 99%

A Patient-Specific Closed-Loop Epilepsy Management SoC With One-Shot Learning and Online Tuning

Zhang

Tsai

Yoo

2022

IEEE J. Solid-State Circuits

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Epilepsy treatment in clinical practices with surface electroencephalogram (EEG) often faces training dataset shortage issue, which is aggravated by seizure pattern variation among patients. To facilitate future optimization of the detection accuracy as new datasets are available, a fully programmable patient-specific closed-loop epilepsy tracking and suppression system-on-chip (SoC) is proposed with the first-in-literature oneshot learning and online tuning to the best of our knowledge. The proposed two-cycle analog front end (2C-AFE) obtains a 9.8-b effective number of bits (ENOB) with 8× capacitive digital-toanalog converter (CAPDAC) area reduction and 4× switching energy saving compared to a conventional 10-b SAR with an identical unit capacitor size. The entire SoC with 16 surface EEG recording channels consumes an ultra-low energy of 0.97 µJ/class and occupies a miniaturized area of 0.13 mm 2 /ch. in 40-nm CMOS, achieving real-time concurrent seizure detection and raw EEG recording. Verified with the CHB-MIT database, the guided time-channel averaging (GTCA) neural processor achieves the vector-based sensitivity, the specificity, and the latency of 97.8%, 99.5%, and <1 s, respectively. The initial one-shot learning and follow-up online tuning function is validated with the EEG recording from a local hospital patient, which demonstrates a 1.8× vector-based sensitivity boost.

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An Active Concentric Electrode for Concurrent EEG Recording and Body-Coupled Communication (BCC) Data Transmission

Cited by 15 publications

References 38 publications

Amplifiers in Biomedical Engineering: A Review from Application Perspectives

Amplifiers in Biomedical Engineering: A Review from Application Perspectives

All‐day wearable health monitoring system

A Patient-Specific Closed-Loop Epilepsy Management SoC With One-Shot Learning and Online Tuning

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