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A 4×32-Channel Neural Recording System for Deep Brain Stimulation Systems
Kim, Susie,Na, Seung-In,Yang, Youngtae,Kim, Hyunjong,Kim, Taehoon,Cho, Jun Soo,Kim, Jinhyung,Chang, Jin Woo,Kim, Suhwan The Institute of Electronics and Information Engin 2017 Journal of semiconductor technology and science Vol.17 No.1
In this paper, a $4{\times}32$-channel neural recording system capable of acquiring neural signals is introduced. Four 32-channel neural recording ICs, complex programmable logic devices (CPLDs), a micro controller unit (MCU) with USB interface, and a PC are used. Each neural recording IC, implemented in $0.18{\mu}m$ CMOS technology, includes 32 channels of analog front-ends (AFEs), a 32-to-1 analog multiplexer, and an analog-to-digital converter (ADC). The mid-band gain of the AFE is adjustable in four steps, and have a tunable bandwidth. The AFE has a mid-band gain of 54.5 dB to 65.7 dB and a bandwidth of 35.3 Hz to 5.8 kHz. The high-pass cutoff frequency of the AFE varies from 18.6 Hz to 154.7 Hz. The input-referred noise (IRN) of the AFE is $10.2{\mu}V_{rms}$. A high-resolution, low-power ADC with a high conversion speed achieves a signal-to-noise and distortion ratio (SNDR) of 50.63 dB and a spurious-free dynamic range (SFDR) of 63.88 dB, at a sampling-rate of 2.5 MS/s. The effectiveness of our neural recording system is validated in in-vivo recording of the primary somatosensory cortex of a rat.
A 4×32-Channel Neural Recording System for Deep Brain Stimulation Systems
Susie Kim,Seung-In Na,Youngtae Yang,Hyunjong Kim,Taehoon Kim,Jun Soo Cho,Jinhyung Kim,Jin Woo Chang,Suhwan Kim 대한전자공학회 2017 Journal of semiconductor technology and science Vol.17 No.1
In this paper, a 4×32-channel neural recording system capable of acquiring neural signals is introduced. Four 32-channel neural recording ICs, complex programmable logic devices (CPLDs), a micro controller unit (MCU) with USB interface, and a PC are used. Each neural recording IC, implemented in 0.18 mm CMOS technology, includes 32 channels of analog front-ends (AFEs), a 32-to-1 analog multiplexer, and an analog-to-digital converter (ADC). The midband gain of the AFE is adjustable in four steps, and have a tunable bandwidth. The AFE has a mid-band gain of 54.5 dB to 65.7 dB and a bandwidth of 35.3 Hz to 5.8 kHz. The high-pass cutoff frequency of the AFE varies from 18.6 Hz to 154.7 Hz. The input-referred noise (IRN) of the AFE is 10.2 mVrms. A high-resolution, low-power ADC with a high conversion speed achieves a signal-to-noise and distortion ratio (SNDR) of 50.63 dB and a spurious-free dynamic range (SFDR) of 63.88 dB, at a sampling-rate of 2.5 MS/s. The effectiveness of our neural recording system is validated in in-vivo recording of the primary somatosensory cortex of a rat.
Characteristics and 10 key components of interpersonal caring: a narrative review
Susie Kim 한국보건의료인국가시험원 2022 보건의료교육평가 Vol.19 No.-
This paper aims to help people understand better the lives of people who are mentally ill by describing the general concept of the Interpersonal Caring Theory (ICT) and deducing 10 key components of interpersonal caring. The literature review described the definition of interpersonal caring, and its assumptions and characteristics. Furthermore, the authors’ experience with patient care suggested the critical components of interpersonal caring, which is the compassion-based therapeutic actions/behaviors through the collaborative partnership developed between nurse and client. Essential characteristics of interpersonal caring include the following: person-to-person interaction between nurse and patient, genuine love and concern toward the person, conveying trust and hope, transcending space, time, and culture, holistic approach expressed through a comprehensive and dynamic mode of communication, helping the patient focus on their self-worth, and providing culturally relevant and sensitive nursing. Ten key components of interpersonal caring in ICT include noticing, participating, sharing, active listening, companioning, complimenting, comforting, hoping, forgiving, and accepting. Interpersonal caring results from the blended understanding of the empirical, aesthetic, ethical, and intuitive aspects of a given clinical situation, and a nexus of pre-conditions, content, feelings, and sense of self-worth/self-esteem.