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Ming Liu 0015

dblp:20/2039-15 · DBLP profile ↗
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11ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 7 · 1 since 2021Systems, architecture and hardware · 4 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
4 papers
Health and well-being technologies · 58% Wearable and physiological sensing · 42%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Hardware accelerators and domain-specific architectures · 77% Integrated circuit design · 23%

Topics — the 5 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics › biomedical signal processing › physiological signal analysis
respiratory sound analysis
0.512021
Using breath sound data to detect intraoperative respiratory depression in non-intubated anesthesia · Sci. China Inf. Sci. 2021
Health and well-being technologies
mobile health
0.412019
A novel compression framework using energy-sensitive QRS complex detection method for a mobile ECG · Sci. China Inf. Sci. 2019
Wearable and physiological sensing › vital sign monitoring
heart rate monitoring
0.312018
A novel approach framework based on statistics for reconstruction and heartrate estimation from PPG with heavy motion artifacts · Sci. China Inf. Sci. 2018
Wearable and physiological sensing › biosignal sensing
photoplethysmography
0.312018
A novel approach framework based on statistics for reconstruction and heartrate estimation from PPG with heavy motion artifacts · Sci. China Inf. Sci. 2018
Image and video processing
wavelet transform
0.112014
A low-complexity ECG processing algorithm based on the Haar wavelet transform for portable health-care devices · Sci. China Inf. Sci. 2014

Methods — techniques the papers use, named apart from their topics

QRS complex detection · 0.8haar wavelet transform · 0.4statistical signal processing · 0.3wavelet neural network · 0.2
YearPublicationVenuePosition
2021 Using breath sound data to detect intraoperative respiratory depression in non-intubated anesthesia
Sikai Wang, Ming Liu 0015, Hanjun Jiang, Zhihua Wang 0001, Zongwang Zhang, Huili Kan, Binjie Zhu
Sci. China Inf. Sci.3
2019 A novel compression framework using energy-sensitive QRS complex detection method for a mobile ECG
Sikai Wang, Bo Pang 0006, Ming Liu 0015, Xu Zhang 0010, Wentao Shen, Hongda Chen 0002
Sci. China Inf. Sci.3
2018 A novel approach framework based on statistics for reconstruction and heartrate estimation from PPG with heavy motion artifacts
Bo Pang 0006, Ming Liu 0015, Xu Zhang 0010, Peng Li 0012, Hongda Chen 0002
Sci. China Inf. Sci.2
2016 High precision intelligent flexible grasping front-end with CMOS interface for robots application
Xu Zhang 0010, Ming Liu 0015, Yuanfang Chen, Peng Li 0012, Zhaolin Yao, Weihua Pei, Chun Zhang 0001, Hongda Chen 0002
Sci. China Inf. Sci.3
2016 Novel wavelet neural network algorithm for continuous and noninvasive dynamic estimation of blood pressure from photoplethysmography
Peng Li 0012, Ming Liu 0015, Xu Zhang 0010, Bo Pang 0006, Zhaolin Yao, Hongda Chen 0002
Sci. China Inf. Sci.2
2014 A flexible capacitive tactile sensor array with micro structure for robotic application
Xu Zhang 0010, Ming Liu 0015, Yuanfang Chen, Peng Li 0012, Weihua Pei, Chun Zhang 0001, Hongda Chen 0002
Sci. China Inf. Sci.3
2014 A low-complexity ECG processing algorithm based on the Haar wavelet transform for portable health-care devices
Peng Li 0012, Ming Liu 0015, Xu Zhang 0010, Hongda Chen 0002
Sci. China Inf. Sci.2
2012 A 512 kb SRAM in 65nm CMOS with divided bitline and novel two-stage sensing technique
abstract
This paper focuses on high speed embedded SRAM design, especially on novel circuit technique to improve SRAM access time. A new two-stage sensing scheme which is able to reduce long interconnection metal line delay by transferring differential signals with half swing amplitude has been proposed. Post-layout simulation results show that the long distance signal transmission time has been decreased by 45%. Chip measurement shows the access time has been decreased by 23% at the expense of little area penalty (1.3%) and some read power penalty (about 16%) mainly caused by 2nd-stage sense amplifiers.
Ming Liu 0015, Hong Chen 0002, Huamin Cao
DDECS2
2012 A wireless force measurement system for Total Knee Arthroplasty
abstract
A wireless force measurement system is presented in this paper. The system, which is used during the operation of Total Knee Arthroplasty(TKA), is designed to assist surgeons to determine the proper position of the knee implants and consequently enhance the success ratio of the treatment. It consists of three parts: a device to measure and transmit force data, a receiver and a terminal to display the force data in real time. The transmitter communicates with the receiver by 2.4GHz Radio Frequency (RF) signal. The system consumes no more than 17mA current with 3V voltage supply typically. So it can work with a button battery cell. Experimental results show that the performance of the system meets the requirements.
Hanqing Luo, Ming Liu 0015, Hong Chen 0002, Chun Zhang 0001, Zhihua Wang 0001
ISCAS2
2012 A wide dynamic range and fast update rate integrated interface for capacitive sensors array
abstract
A low-power CMOS capacitance-to-digital converter for capacitive sensors array is presented. It consists of a 16-channel MUX, a front-end with wide dynamic range for capacitance-voltage conversion and a novel voltage-pulses convertor. This novel circuit charges the measured capacitor indirectly and converts it into a proportional voltage, and then produces a 16-bits pulses-formed single-line output with multi-steps quantization method. The circuit can operate under 1.2V to 3.6V voltage supply for single battery application. The maximum input is 350pF with 0.75ms/ch update rate and 90μA power consumption when the operating clock is 100KHz. The chip has been design and fabricated in 0.18-μm 1P6M CMOS process with active area of 640×630μm2.
Xu Zhang 0010, Ming Liu 0015, Hong Chen 0002, Chun Zhang 0001, Zhihua Wang 0001
ISCAS2
2008 Low-power IC design for a wireless BCI system
abstract
Integrated circuit (IC) design for a wireless BCI system is put forward in this paper. The system is composed of an electrode, a stimulator, antennas, and an integrated circuit including a preamplifier, an analog to digital converter (ADC), a current mode digital to analog converter (DAC), a transceiver and a micro control unit (MCU). The system is closed loop, which can detect and record electroencephalogram (EEG) signals, send the signals to computer wirelessly, and generate stimulating signals according to analysis results from the computer. A 16-bit ADC is designed and some non-idealities parameters (e.g. kT/C noise, 1/f Noise and so on) are given. Sub-threshold circuit technology is used to realize ultra low-power MCU. Both of the ADC and the MUC are verified by simulation results. Next work will include the design of the preamplifier, IDAC, and a single chip design integrating all the circuits.
Ming Liu 0015, Hong Chen 0002, Run Chen, Zhihua Wang 0001
ISCAS1