A5082948728- Optical Imaging and Spectroscopy Techniques
- Non-Invasive Vital Sign Monitoring
- Photoacoustic and Ultrasonic Imaging
- EEG and Brain-Computer Interfaces
- Analytical Chemistry and Sensors
- ECG Monitoring and Analysis
- Optical Coherence Tomography Applications
- Advanced Fiber Laser Technologies
- Thin-Film Transistor Technologies
- Nanowire Synthesis and Applications
- Analog and Mixed-Signal Circuit Design
- Advanced Optical Sensing Technologies
- Advanced Image Processing Techniques
- Advancements in PLL and VCO Technologies
- Photonic and Optical Devices
- CCD and CMOS Imaging Sensors
- Radio Frequency Integrated Circuit Design
- Neural dynamics and brain function
- Photoreceptor and optogenetics research
- Functional Brain Connectivity Studies
- Heart Rate Variability and Autonomic Control
- Organic Light-Emitting Diodes Research
- Advanced Semiconductor Detectors and Materials
- Semiconductor Lasers and Optical Devices
- Advanced Sensor and Energy Harvesting Materials
Shanghai Jiao Tong University
2020-2024
This paper presents a dynamic optical phantom for the simulation of metabolic activities in brain, and linear equivalent model is built control voltage versus substance concentration. A solid–solid realized by using liquid crystal film as voltage-controlled light intensity regulator on surface basic phantom, which uses epoxy resin matrix material nanometer carbon powder titanium dioxide absorption scattering dopants, respectively. The could mimic near-infrared spectrum (NIRS) signals with...
This article presents a Photoplethysmography (PPG) sensory system for continuous health monitoring. The PPG chip is fabricated using 0.35 μm standard CMOS technology and occupies 2.3 mm × 1.7 mm. average power consumption of the receiver analog front-end (AFE) 50.75 μW, LED driver 29.3 μW. consumed dramatically reduced due to both low duty cycle lighting automatic light control (ALC). sensor has input noise current 41.3 pA can reject DC photocurrent up 24 μA because integrated background...
Functional near-infrared spectroscopy (fNIRS) is a powerful medical imaging tool in brain science and psychology, it can also be employed brain-computer interface (BCI) due to its noninvasive artifact-less-sensitive characteristics. Conventional ways detect large-area activity using (NIR) technology are based on Time-division or Frequency-division modulation technique, which traverses all physical sensory channels specific period. To achieve higher resolution brain-tasks classification...
Photoplethysmography (PPG) is one of the widely used noninvasive heart rate (HR) monitoring techniques in wearable devices. Lighting LED dominates power consumption a PPG sensor. Lowering lighting duration an effectively approach to save power. This paper proposes adaptive heartbeat locked loop (AHBLL) technique, which can dynamically adjust dividing ratio N according derivative (HRD). In this way, pulse duty cycle be significantly reduced To improve robustness AHBLL system, relationship...
Flexible electronics based on thin film transistors (TFTs) are expected to deliver important benefits in the mobile healthcare field. Nevertheless, mechanical strain caused by respiration or movement of organisms seriously affects characteristics TFTs, and thus deteriorates performance TFT-based circuits systems. Taking indium-gallium-zinc-oxide (IGZO) TFT as an example, this paper proposes a tensile-force-resilient biomedical front-end system omni-directional (OD TFTs). The proposed OD is...
This paper presents a low-power frequency-domain functional near-infrared spectroscopy (FD-fNIRS) readout circuit for the absolute value measurement of tissue optical characteristics. The proposes mixer-first analog front-end (AFE) structure and 1-bit Σ-Δ phase-to-digital converter (PDC) to reduce required bandwidth laser modulation frequency, thereby saving power while maintaining high resolution. proposed chip achieves sub-0.01° phase resolution consumes 6.8 mW power. Nine solid phantoms...
The non-invasive quantification of metabolite concentration is significant importance in the fields medical diagnosis and monitoring. Functional near-infrared spectroscopy (NIRS) offers a promising optical solution for this purpose. However, conventional continuous-wave (CW) NIRS systems only record light intensity, limiting analysis absorption (μ <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">a</inf> ) reduced scattering...
This paper presents a sub-sampling phase-locked loop with shorter locking time. An ultra-mini dead zone is proposed to increase the operation region of high-gain frequency-locked loop, such that fast settling can be achieved. A phase error adaptive charging pump control scheme implemented tune phase/frequency detector's outputs according remaining error. Simulation results show it takes 2.5 μs for system settle down. When step change 100 or 500 mV applied on voltage voltage-controlled...
Functional near-infrared spectroscopy (fNIRS) is considered as a non-invasive and effective brain-computer interface technology. Wearable high-resolution fNIRS requires large-scale LED array, which consumes lot of power, shorten the battery life. This paper proposes spatial adaptive sampling (SAS) method that can take advantage sparsity devices greatly reduce power consumption while maintaining high image quality. To improve performance proposed SAS technique, low binary neural network (BNN)...
As an emerging category of brain-computer interface technology, functional near-infrared spectroscopy (fNIRS) has garnered significant attention due to its non-invasiveness, portability, and energy efficiency. However, the efficient design optimization circuits for complex fNIRS systems remain unresolved challenges in field. In this study, we propose RTE-based compact model simulating light propagation biological tissues, serving as effective tool aid signal chain systems. The paper begins...
This demonstration presents a wearable fNIRS system for mental status assessment. Through the combined use of with VFT, provides an effective approach monitoring brain activity and assessing status. Furthermore, employs spatial adaptive sampling method, which increases its energy efficiency without significant reduction on functional imaging quality.
This paper presents a frequency-domain functional near-infrared spectroscopy readout circuit for absolute value measurement of tissue optical characteristics. A mixer-first analog front-end (AFE) structure and 1-bit <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\Sigma-\Delta$</tex> phase-to-digital converter (PDC) are proposed to lower both the required bandwidth laser modulation frequency save power while maintain high resolution. The IC...
Due to the lack of equipment, it is difficult simultaneously study brain activity multiple subjects in natural scenarios. This paper proposes an flexible and lightweight wearable fNIRS system, which combines sensor array super-resolution algorithm achieve both high spatial resolution lightweight. The measured results show PSNR values acquired images between reconstruct image original HR 50.44 dB at a down sampling rate 2, implies that hardware cost can be reduced by 4 × , without sacrifices...