Welcome to

Neuromorphic and Biomedical Engineering Laboratory

National Tsing Hua University, Taiwan


Artificial Intelligence, Electronic Nose and Biomedical Implants

Artificial Intelligence

System Design

Neuromorphic AI Accelerator System Design

Algorithm Design

Neuromorphic AI Inference Chip Algorithm

Chip Design

Neuromorphic AI Accelerator Chip Design

Electronic Nose

Miniature Electronic Nose System

Integrated Micro Sensor Array

System-on-Chip and Package

Module, System and Algorithm

Application: Early Screening of Diseases

Chest physician

Gas analysis method

Diagnosis chip (VAP, COPD, LC)

Biomedical Implants

Circuit Design for Biomedical Devices

Data Transceiver, Wireless Power Transfer System, Stimulator

Analog to Digital Converter, Low Noise Amplifier, Digital Processor

Application: Deep Brain Stimulation

Implantable, Batteryless, Bidirectional Communications

Low Power Neural Recording and Stimulation

Small Device Size


Recent Publications

A Concentration-based Drift Calibration (CDC) Transfer Learning Method for Gas Sensor Array Data

 The practical use of electronic nose (e-nose) systems suffers from drift issue, which alters data distribution and reduces the accuracy of classification. This letter proposes a transfer learning method called concentration-based drift calibration (CDC) for calibrating the sensor drift. Based on the sensor characteristic that sensor response is correspondent to gas concentration, transfer samples were collected in the target domain for certain gas concentrations and then used for calibration with a designed concentration-based model and CDC transfer process. This method was evaluated on a complex time-varying drift dataset. The experimental results show that the proposed method for drift calibration is effective and can be used for real-world applications. Moreover, the CDC transfer process can be applied over time with data that has been previously collected to yield a more generalized model.

A Fully Integrated High-Power-Supply-Rejection Linear Regulator with an Output-Supplied Voltage Reference

 This study proposes an output capacitor-less linear regulator with high power supply rejection (PSR) for a wireless power transmission system. To achieve high PSR with a noisy input voltage, a fully integrated linear regulator with its reference circuit supplied by the output voltage is proposed. The proposed technique can isolate the reference circuit from the noisy VIN, thereby reducing the requirements of the conventional bulky lowpass filter loading the reference voltage node while achieving superior PSR performance. The regulator uses an N-type pass transistor and a dual-feedback structure to achieve wideband ripple-filtering and fast transient responses. The proposed regulator is compatible with typical biomedical implants requiring a 10mA load current at 1.1V output voltage while consuming a total quiescent current of 276µA. A PSR performance was measured to be −48 and −56 dB against the VIN and charge pump at 10 MHz, respectively. The unity gain bandwidth (UGB) of the regulator was 291MHz. The proposed regulator was fabricated using commercial TSMC 0.18-µm CMOS technology with an area of 0.1054 mm2 including the reference circuit.


Our Recent News

賀 ! 本實驗室獲得2022教育部積體電路設計系統應用創新專題實作競賽 銅獎

Posted by NBME on 08 03, 2022

"A Transferable Feature-based Classifier to Improve Transferability of Electronic Nose Systems" is accepted for publication by IEEE Sensors Letters

Posted by NBME on 07 12, 2022

Meysam Akbari, Safwan Mawlood Hussein, Yasir Hashim, and Kea-Tiong Tang*, “0.4-V Tail-Less Quasi-Two-Stage OTA Using a Novel Self-Biasing Transconductance Cell”, IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), accepted.

Posted by NBME on 03 29, 2022

賀 ! 本實驗室獲得2021未來科技獎

參展名稱: 用於智慧生活的靜態與動態視覺關鍵技術

Posted by NBME on 10 27, 2021


Contact Us

 R812, Delta Building,Dept. of Electrical Engineering,
  National Tsing Hua University,No. 101, Sec. 2, Kuang-Fu
  Road, Hsinchu 30013, Taiwan