AIMC Topic: Electric Impedance
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A Novel CNN-LSTM Hybrid Model for Prediction of Electro-Mechanical Impedance Signal Based Bond Strength Monitoring.
Sensors (Basel, Switzerland)
Dec 16, 2022
The recent application of deep learning for structural health monitoring systems for damage detection has potential for improvised structure performance and maintenance for long term durability, and reliable strength. Advancements in electro-mechanic...
Adaptive Interaction Control of Compliant Robots Using Impedance Learning.
Sensors (Basel, Switzerland)
Dec 12, 2022
This paper presents an impedance learning-based adaptive control strategy for series elastic actuator (SEA)-driven compliant robots without the measurement of the robot-environment interaction force. The adaptive controller is designed based on the c...
Validity and reliability of a mobile digital imaging analysis trained by a four-compartment model.
Journal of human nutrition and dietetics : the official journal of the British Dietetic Association
Dec 7, 2022
BACKGROUND: Digital imaging analysis (DIA) estimates collected from mobile applications comprise a novel technique that can collect body composition estimates remotely without the inherent restrictions of other research-grade devices. However, the ac...
Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation.
IEEE transactions on cybernetics
Nov 18, 2022
Human-robot co-transportation allows for a human and a robot to perform an object transportation task cooperatively on a shared environment. This range of applications raises a great number of theoretical and practical challenges arising mainly from ...
Data-Driven Guided Attention for Analysis of Physiological Waveforms With Deep Learning.
IEEE journal of biomedical and health informatics
Nov 10, 2022
Estimating physiological parameters - such as blood pressure (BP) - from raw sensor data captured by noninvasive, wearable devices rely on either burdensome manual feature extraction designed by domain experts to identify key waveform characteristics...
Adaptive variable impedance position/force tracking control of fracture reduction robot.
The international journal of medical robotics + computer assisted surgery : MRCAS
Nov 5, 2022
BACKGROUND: The operation object of robot-assisted fracture reduction surgery is the musculoskeletal tissue with rigid-compliance coupling characteristics. It is necessary to improve the interactive compliance and safety between the reduction robot a...
Toward five-part differential of leukocytes based on electrical impedances of single cells and neural network.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Oct 21, 2022
The five-part differential of leukocytes plays key roles in the diagnosis of a variety of diseases and is realized by optical examinations of single cells, which is prone to various artifacts due to chemical treatments. The classification of leukocyt...
sEMG-Based Gain-Tuned Compliance Control for the Lower Limb Rehabilitation Robot during Passive Training.
Sensors (Basel, Switzerland)
Oct 17, 2022
The lower limb rehabilitation robot is a typical man-machine coupling system. Aiming at the problems of insufficient physiological information and unsatisfactory safety performance in the compliance control strategy for the lower limb rehabilitation ...
Visual body composition assessment methods: A 4-compartment model comparison of smartphone-based artificial intelligence for body composition estimation in healthy adults.
Clinical nutrition (Edinburgh, Scotland)
Sep 29, 2022
BACKGROUND & AIMS: Visual body composition (VBC) estimates produced from smartphone-based artificial intelligence represent a user-friendly and convenient way to automate body composition remotely and without the inherent geographical and monetary re...
Tissue Recognition Based on Electrical Impedance Classified by Support Vector Machine in Spinal Operation Area.
Orthopaedic surgery
Aug 1, 2022
OBJECTIVE: One of the major difficulties in spinal surgery is the injury of important tissues caused by tissue misclassification, which is the source of surgical complications. Accurate recognization of the tissues is the key to increase safety and e...
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