Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.
In this paper, a multi-stage deep learning blood pressure prediction model based on imaging photoplethysmography (IPPG) signals is proposed to achieve accurate and convenient monitoring of human blood pressure. A camera-based non-contact human IPPG signal acquisition system is designed. The system can perform experimental acquisition under ambient light, effectively reducing the cost of non-contac...
This study aims to characterize contact forces between humans and tools during activities of daily living (ADL) to provide information to a personal care robot. The study was conducted on non-impaired subjects to capture various static and dynamic force levels when making contact with three different robotic tools, each designed to perform an ADL task: hair brushing, face wiping, and face shaving....
The ability to sense airborne pollutants with mobile robots provides a valuable asset for domains such as industrial safety and environmental monitori...
Underwater visible light communication (UVLC) has recently come to light as a viable wireless carrier for signal transmission in risky, uncharted, and...
The edge sharpness of a propeller blade plays a vital role in improving energy transmission efficiency and reducing the power required to propel the v...
The burgeoning complexity of space missions has amplified the research focus on robots that are capable of assisting astronauts in accomplishing tasks...
There is a growing need to apply geospatial artificial intelligence analysis to disparate environmental datasets to find solutions that benefit frontl...
We have employed artificial intelligence to streamline the small molecule drug screening pipeline and identified the cholesterol-reducing compound pro...
INTRODUCTION: HIV fourth-generation assay, designed for the detection of HIV p24 antigen along with anti-HIV antibodies of both immunoglobulin M and i...
BACKGROUND: Collecting system entry in robot-assisted partial nephrectomy may occur even in cases showing a low N factor in the R.E.N.A.L nephrometry ...
Recent developments in robotics have enabled humanoid robots to be used in tasks where they have to physically interact with humans, including robot-s...
The PCM (phase contrast microscopy) method for asbestos counting needs special sample treatments, hence it is time consuming and rather expensive. As ...
Cardiac-related disorders are rapidly growing throughout the world. Accurate classification of cardiovascular diseases is an important research topic ...
To grasp an object successfully, we must select appropriate contact regions for our hands on the surface of the object. However, identifying such regi...
3D cell culture models are important tools in translational research but have been out of reach for high-throughput screening due to complexity, requi...
The direct tactile assessment of surface textures during palpation is an essential component of open surgery that is impeded in minimally invasive and...
Non-contact temperature measurement of persons during an epidemic is the most preferred measurement option because of the safety of personnel and mini...
The inaccurate force and position control of tendon sheath system (TSS) due to nonlinear friction during surgery seriously hinders its development in ...
The present study was aimed to the development and characterization of valsartan-containing buccal films with an introduction to a novel technique of ...
Robot grippers that lack physical compliance have a difficult time dealing with uncertainty, such as fragile objects that may not have well-defined sh...