Respiratory motion tracking of the thoracoabdominal surface based on defect-aware point cloud registration.

The performance of conventional lung puncture surgery is a complex undertaking due to the surgeon's reliance on visual assessment of respiratory conditions and the manual execution of the technique while the patient maintains breath-holding. However, the failure to correctly perform a puncture technique can lead to negative outcomes, such as the development of sores and pneumothorax. In this work, we proposed a novel approach for monitoring respiratory motion by utilizing defect-aware point cloud registration and descriptor computation.

Robust Cost Volume Generation Method for Dense Stereo Matching in Endoscopic Scenarios.

Stereo matching in binocular endoscopic scenarios is difficult due to the radiometric distortion caused by restricted light conditions. Traditional matching algorithms suffer from poor performance in challenging areas, while deep learning ones are limited by their generalizability and complexity. We introduce a non-deep learning cost volume generation method whose performance is close to a deep learning algorithm, but with far less computation.

High-quality binary fringe generation by multi-scale optimization on intensity and phase.

The optimization-based binary fringe generation method can greatly improve the quality of projected fringes for structured light measurement. However, the existing phase-based and intensity-based methods are either sensitive to the projector defocus levels or cannot reduce the phase error efficiently, and these two methods only optimize the phase or intensity at a single defocus scale. A new method is proposed to optimize the intensity and phase of binary fringe on multiple defocus scales, to the best of our knowledge, which can effectively reduce the phase error and ensure its robustness.

Quasi-pixelwise motion compensation for 4-step phase-shifting profilometry based on a phase error estimation.

Phase-shifting profilometry (PSP) is widely used in 3D shape measurement due to its high accuracy. However, in dynamic scenarios, the motion of objects will introduce phase-shifting errors and result in measurement errors. In this paper, a novel compensation method based on 4-step phase-shifting profilometry is proposed to reduce motion-induced errors when objects undergo uniform or uniformly accelerated motion.

An ASK Data Demodulator Circuit for Implantable Medical Devices Supporting a Minimum Modulation Depth of 0.034.

Amplitude shift keying (ASK) data demodulation method has been widely used for simultaneous wireless data and power transfer in implantable medical devices (IMDs). Small amplitude modulation depth (MD) is usually preferred as it helps promote energy harvesting efficiency. This paper presents an ASK data demodulator that has good immunity to disturbances and can demodulate ultra-low MD ASK signal.

A Deep Brain Stimulation System with Low Power Consumption and Wide Output Range.

Deep brain stimulation (DBS) therapy has been widely used in clinical practice for the treatment of neurological diseases and has achieved significant therapeutic effect. In this paper, aiming at the social problem of drug addiction, we design an electrical stimulation system which can be used in animal experiments, carry out the memory extinction experiment of addiction in rats, and explore the effective electrical stimulation parameters. The DBS system consists of a rechargeable battery and a PCB stimulation circuit composed of discrete devices.

An Energy-Efficient Implantable-Neural-Stimulator System with Wireless Charging and Dynamic Voltage Output.

Neural stimulators have become more and more widely used as an effective tool in neural therapies. To address power supply and consumption issues in this application, an energy-efficient Implantable-Neural-Stimulator system composed of a pulse generator and a wireless charger is proposed and implemented in 0.8μm 40V Bipolar-CMOS-DMOS (BCD) process.

A wirelessly programmable chip for multi-channel neural stimulation.

This paper presents an implantable inductively powered mix-signal chip for neural stimulation, which is implemented in 0.35-µm high-voltage CMOS process. It features 16 stimulating channels and a maximum stimulating rate of 15Kbps.

[Experimental study on the stimulating effect and the tissue compatibility of a new type of implanted gastric electrical stimulator].

A new type of gastric electrical stimulator (GES) was introduced. After the stimulator was implanted in beagle dogs, its stimulating effects and the pathological changes at the implant site were observed to study the safety and efficacy of stimulator as well as the tissue compatibility of the materials used. The results showed that, this type of stimulator was safe and capable of inhibiting food intake of the dogs, and that the materials used had good tissue compatibility.