An Arterial Pulse Signal Acquiring Wristwatch with Flexible Tactile Sensing Dense-Array.

This study reports a wristwatch to automatically acquire the arterial pulse signal. A two-dimensional flexible tactile sensing dense-array is integrated in the watch. The dense-array consists of 29 × 3 ultra-small pressure sensing chips, enabling high-resolution tactile perception.

Investigation of vascular morphology prediction based on high dimensional pulse acquisition system and finite element methods.

In this paper, we propose a novel pulse acquisition system based on MEMS technology, where finger-end pressure and micro-sensor array applications are combined to achieve a high degree of integration of multi-channel information at the pulse acquisition end. A static stress analysis model for blood vessels based on the finite element method is proposed, which is used to investigate the effects of the modulus of elasticity of the vessel wall, and the inner diameter of the vessel on the outward pressure. The blood flow patterns of people with different blood pressures were simulated by varying the pressure intensity of the vessel wall.

An Instant Tumor Detection Method for Ex-vivo Tissue Palpation Utilizing Self-learning High-density Flexible Tactile Sensor Array Based on Attention Mechanism Neural Network.

This paper reports an innovative and instant method for tumor detection. We delineate the tactile signal matrixes of tumor tissue with varying stiffness utilizing self-learning high-density flexible tactile sensor array, and depict the morphological features of the tumor at the fingertip tactile perception with an attention mechanism neural network. A novel algorithm to instantaneously recognize the shape and volume of tumor tissue, incorporating an attention mechanism model for autonomous learning of pressure signal characteristics from each sensing unit, is developed in the ex-vivo experiments, for the first time, by delivering the dense sensing array that enables intimate location-stable contact with skin.