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  <title>Repository Collection: null</title>
  <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/122" />
  <subtitle />
  <id>https://scholar.dgist.ac.kr/handle/20.500.11750/122</id>
  <updated>2026-04-04T13:19:53Z</updated>
  <dc:date>2026-04-04T13:19:53Z</dc:date>
  <entry>
    <title>A Hybrid Recording System with 10kHz-BW 630mVPP84.6dB-SNDR 173.3dB-FOMSNDRand 5kHz-BW 114dB-DR for Simultaneous ExG and Biocurrent Acquisition</title>
    <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/57831" />
    <author>
      <name>Seol, Taeryoung</name>
    </author>
    <author>
      <name>Kim, Geunha</name>
    </author>
    <author>
      <name>Lee, Sehwan</name>
    </author>
    <author>
      <name>Kim, Samhwan</name>
    </author>
    <author>
      <name>Kim, Dong Wook</name>
    </author>
    <author>
      <name>Wie, Jeongyoon</name>
    </author>
    <author>
      <name>Shin, Yeon Jae</name>
    </author>
    <author>
      <name>Kang, Hongki</name>
    </author>
    <author>
      <name>Jang, Jae Eun</name>
    </author>
    <author>
      <name>George, Arup Kocheethra</name>
    </author>
    <author>
      <name>Lee, Junghyup</name>
    </author>
    <id>https://scholar.dgist.ac.kr/handle/20.500.11750/57831</id>
    <updated>2025-07-25T03:28:27Z</updated>
    <published>2024-02-20T15:00:00Z</published>
    <summary type="text">Title: A Hybrid Recording System with 10kHz-BW 630mVPP84.6dB-SNDR 173.3dB-FOMSNDRand 5kHz-BW 114dB-DR for Simultaneous ExG and Biocurrent Acquisition
Author(s): Seol, Taeryoung; Kim, Geunha; Lee, Sehwan; Kim, Samhwan; Kim, Dong Wook; Wie, Jeongyoon; Shin, Yeon Jae; Kang, Hongki; Jang, Jae Eun; George, Arup Kocheethra; Lee, Junghyup
Abstract: As the precise acquisition of continuous ExG (ENG, ECG, etc.) and biocurrent (chemical, PPG, etc.) signals provides further insights into chronic health conditions [1,2], a lowpower readout system capable of simultaneously recording ExG and biocurrent signals with high precision is beneficial (Fig. 33.11.1(a)). Such a system requires BW&gt;5kHz, noise floor ~100nV/√Hz, and FOMSNDR&gt;170dB to cover the entire ExG spectrum. Also, an input range (IR)&gt;100mVPP is necessary to prevent saturation. Likewise, for biocurrent acquisition, a system has to meet BW&gt;1kHz, noise floor ~1pArms/√Hz, and DR&gt;100dB to detect small charge perturbations without saturation from large baseline currents. Extensive effort has been conducted to design a simultaneous V &amp; I monitoring system (Fig. 33.11.1(b)). For instance, [1] allows the design of a simultaneous V &amp; I monitoring system based on simple integration of individual readout schemes. However, this system consumes power &gt;100μW and is unsuitable for simultaneous ExG and biocurrent signals due to the limited BW. Although [2] achieves wide BW for both signals, it cannot record V &amp; I simultaneously due to the time-division manner and also has narrow IRs. On the other hand, [3] employing frequency division, achieves simultaneous readout while consuming low power. However, it is vulnerable to artifacts, while the BW of each V &amp; I readout limits the other. This paper presents a simultaneous V &amp; I recording system using a single 2nd-order continuous-time ΔΣ modulator (CT-DSM). Such simultaneous recording is achieved by using a highly linear hybrid GmC integrator with a triplet VCObased quantizer, where the differential voltage and single-ended current are combined into differential and common mode signals (Fig. 33.11.1 (c)).  © 2024 IEEE.</summary>
    <dc:date>2024-02-20T15:00:00Z</dc:date>
  </entry>
  <entry>
    <title>A 3.3-To-11V-Supply-Range 10μW/Ch Arbitrary-Waveform-Capable Neural Stimulator with Output-Adaptive-Self-Bias and Supply-Tracking Schemes in 0.18μm Standard CMOS</title>
    <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/57274" />
    <author>
      <name>Wie, Jeongyoon</name>
    </author>
    <author>
      <name>Jung, Sangwoo</name>
    </author>
    <author>
      <name>Seol, Taeryoung</name>
    </author>
    <author>
      <name>Kim, Geunha</name>
    </author>
    <author>
      <name>Lee, Sehwan</name>
    </author>
    <author>
      <name>Jang, Homin</name>
    </author>
    <author>
      <name>Kim, Samhwan</name>
    </author>
    <author>
      <name>Shin, Yeon Jae</name>
    </author>
    <author>
      <name>Jang, Jae Eun</name>
    </author>
    <author>
      <name>Kung, Jaeha</name>
    </author>
    <author>
      <name>George, Arup Kocheethra</name>
    </author>
    <author>
      <name>Lee, Junghyup</name>
    </author>
    <id>https://scholar.dgist.ac.kr/handle/20.500.11750/57274</id>
    <updated>2025-07-25T02:42:30Z</updated>
    <published>2024-04-23T15:00:00Z</published>
    <summary type="text">Title: A 3.3-To-11V-Supply-Range 10μW/Ch Arbitrary-Waveform-Capable Neural Stimulator with Output-Adaptive-Self-Bias and Supply-Tracking Schemes in 0.18μm Standard CMOS
Author(s): Wie, Jeongyoon; Jung, Sangwoo; Seol, Taeryoung; Kim, Geunha; Lee, Sehwan; Jang, Homin; Kim, Samhwan; Shin, Yeon Jae; Jang, Jae Eun; Kung, Jaeha; George, Arup Kocheethra; Lee, Junghyup
Abstract: Neurostimulation has emerged as the cornerstone that enables closed-loop brain-machine interfaces and targeted treatments for many neurological disorders. Regardless of the application, neurostimulators employ implanted electrodes to deliver charge pulses to tissues within safety limits to engender desired neural responses. However, as electrode-Tissue-impedance (ETI) varies widely (Fig. 1 (top)), neurostimulators should operate over a wide supply range to ensure both therapeutic effectiveness and safety [1]. When ETI is large, a higher supply is needed to provide adequate stimulation. However, when ETI is low, a low supply is necessary to minimize tissue damage from excessive electrical field and heat rise [1], [2]. Furthermore, power consumption during standby mode limited to under 10μ W/Ch ensures no tissue necrosis. Lastly, a stimulator capable of delivering arbitrary stimulation waveforms is also desirable for maximal efficiency and therapeutic effectiveness. © 2024 IEEE.</summary>
    <dc:date>2024-04-23T15:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Spheroid culture of rat olfactory receptor neurons and its application for bioelectronic nose</title>
    <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/57255" />
    <author>
      <name>Kim, Samhwan</name>
    </author>
    <author>
      <name>Kim, So Yeun</name>
    </author>
    <author>
      <name>Choi, Seong-Kyoon</name>
    </author>
    <author>
      <name>Jeon, Won Bae</name>
    </author>
    <author>
      <name>Jang, Jae Eun</name>
    </author>
    <author>
      <name>Moon, Cheil</name>
    </author>
    <id>https://scholar.dgist.ac.kr/handle/20.500.11750/57255</id>
    <updated>2025-07-25T03:22:33Z</updated>
    <published>2018-09-04T15:00:00Z</published>
    <summary type="text">Title: Spheroid culture of rat olfactory receptor neurons and its application for bioelectronic nose
Author(s): Kim, Samhwan; Kim, So Yeun; Choi, Seong-Kyoon; Jeon, Won Bae; Jang, Jae Eun; Moon, Cheil
Abstract: A novel concept of cell-based biosensor mimicking odorants encoding process of the mammalian ORN was proposed and developed. Rat ORN precursor spheroids were formed by using recombinant protein (REP; TGPG[VGRGD(VGVPG)6]20WPC) and used as a bioelement and combined with commercialized multi electrode array (MEA). Spheroid culture of ORN precursors realized stable maintenance and long-term storage of ORN precursors with preservation of stemness characters. Physiological characters of the differentiated ORNs from spheroids were verified by monitoring change of intracellular calcium concentration upon odorant mixture stimulation and these characters were well preserved in the long-term cultured ORN spheroids. Lastly, differentiated ORN on the MEA generated electrical signals upon odorants stimulation and these signals were collected as signal patterns and analyzed for detecting and discriminating odorant types and concentrations. Developed ORN-based biosensor showed superior repeatability and reproducibility in the odorant detection and the ORN spheroid culture have potentials to be applied in the development of a bioelectronic nose and high-throughput odorant screening.</summary>
    <dc:date>2018-09-04T15:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Detection of Odorant using TFT multi-array with Various Polymers</title>
    <link rel="alternate" href="https://scholar.dgist.ac.kr/handle/20.500.11750/46888" />
    <author>
      <name>Kim, Sohee</name>
    </author>
    <author>
      <name>Jang, Hyun Woo</name>
    </author>
    <author>
      <name>Kwon, Hyeokjin</name>
    </author>
    <author>
      <name>Heo, Su Jin</name>
    </author>
    <author>
      <name>Pyo, Goeun</name>
    </author>
    <author>
      <name>Kim, Dong Su</name>
    </author>
    <author>
      <name>Chae, Ji Won</name>
    </author>
    <author>
      <name>Jang, Jae Eun</name>
    </author>
    <id>https://scholar.dgist.ac.kr/handle/20.500.11750/46888</id>
    <updated>2025-07-25T02:40:21Z</updated>
    <published>2021-11-02T15:00:00Z</published>
    <summary type="text">Title: Detection of Odorant using TFT multi-array with Various Polymers
Author(s): Kim, Sohee; Jang, Hyun Woo; Kwon, Hyeokjin; Heo, Su Jin; Pyo, Goeun; Kim, Dong Su; Chae, Ji Won; Jang, Jae Eun
Abstract: High selectivity of the sensor is one of the most important parameters for the electronic nose (E-nose) or gas sensor. However, many sensors have shown poor selectivity, even though some had high sensitivity. To solve this issue, we suggested a multi-sensor array concept, which consisted of thin-film transistors (TFTs) with various polymer selectors. By using TFT as a base sensor structure, sensitivity was significantly enhanced, and by adopting a polymer as the second dielectric layer, there was a remarkable improvement in selectivity. Some polymers showed unique selectivity to a specific odorant, whereas others had a moderate reaction to various odorants. Instead of common one-to-one matching between a sensor and an odorant, we used multi-output analysis using a dimensional bar chart. Eight different polymers TFTs made a specific chart pattern for four different odorants. Therefore, this sensor array and signal process concept can apply to the e-nose system, which can classify many odorants like a human simulator. © 2021 IEEE.</summary>
    <dc:date>2021-11-02T15:00:00Z</dc:date>
  </entry>
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