Results 101 to 110 of about 1,690,508 (249)
Thermally Drawn Bioelectric Catheters: Enabling Proprioceptive Endovascular Navigation
This work introduces a novel bioelectric navigation system eliminates the need for harmful fluoroscopy during endovascular surgeries. A bespoke 16‐electrode catheter is fabricated using rapid thermal drawing and laser micro‐machining. Paired with a real‐time tracking algorithm fusing vascular geometry detection and distance estimation, this technology ...
Alex Ranne +8 more
wiley +1 more source
Multiscale analysis of heart sound signals in the wavelet domain for heart murmur detection
A heart murmur is an atypical sound produced by blood flow through the heart. It can indicate a serious heart condition, so detecting heart murmurs is critical for identifying and managing cardiovascular diseases. However, current methods for identifying
Dixon Vimalajeewa +2 more
doaj +1 more source
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi +4 more
wiley +1 more source
Classification of heart sounds using wavelets and neural networks [PDF]
Link to publisher's homepage at http://ieeexplore.ieee.orgA heart sound feature extraction and classification method has been developed. It used the discrete wavelet decomposition and reconstruction to produce the envelopes of details of the signals for ...
Mohamed, M. S. +3 more
core
AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit +8 more
wiley +1 more source
A unifying device–cardiovascular interface framework is presented to classify implantable cardiovascular technologies as intracardiovascular blood‐contacting systems or extracardiovascular tissue‐only and blood‐handling architectures. Cross‐class comparison across shared semiquantitative criteria, including blood‐contact burden, biomimicry ...
Bergo Nicolò +7 more
wiley +1 more source
Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort. [PDF]
Waaler PN +10 more
europepmc +1 more source
Analysis And Classification Of Heart Sounds And Murmurs Based On The Instantaneous Energy And Frequency Estimations [PDF]
This paper proposes the use of the instantaneous energy and the frequency estimation in the classification of the heart sounds and murmurs for common heart diseases.
Sharif, Z +3 more
core
Skin‐conformal epidermal sensors enable camera‐free intelligent facial monitoring by converting facial deformation and muscle activity into electrical signals through piezoresistive, capacitive, electrophysiologic, and self‐powered mechanisms. Coupled with artificial intelligence (AI), these platforms support facial expression recognition, human ...
Jeehyun Joung +5 more
wiley +1 more source
Acoustic cardiac signals analysis: a Kalman filter–based approach
Sheik Hussain Salleh,1 Hadrina Sheik Hussain,2 Tan Tian Swee,2 Chee-Ming Ting,2 Alias Mohd Noor,2 Surasak Pipatsart,3 Jalil Ali,4 Preecha P Yupapin31Department of Biomedical Instrumentation and Signal Processing, Universiti Teknologi Malaysia, Skudai ...
Salleh SH +7 more
doaj

