Results 121 to 130 of about 282,764 (294)
A biocompatible graphene/ZnO optical charge trap memory (CTM) is reported with over 54 h retention, enabled by interfacial photodoping. Using transient absorption spectroscopy and electrical analysis, charge transfer quenching is elucidated and reveal that a large energy barrier at the interface is responsible for long‐term memory retention.
Seungmin Shin +10 more
wiley +1 more source
Nearly Perfect Reconstruction Cosine-Modulated Filter Bank Applied To Ecg Signal Coding
Fernando Cruz–Roldán +2 more
openalex +1 more source
This Perspective examines practical power solutions for wearable healthcare systems, highlighting the limits of standard batteries. It categorizes wearables into four domains—point‐of‐care diagnostics, episodic monitoring, continuous long‐term monitoring, and therapeutic platforms—and analyzes their power needs.
Seokheun Choi
wiley +1 more source
Correction of baseline drift from the ECG by an efficient multiresolution analysis algorithm
Usha Desai, Gurudas C Nayak
openalex +1 more source
742 Predictive value of myocardial perfusion contrast ECHO, angiographic assessment of myocardial perfusion, ECG, and reperfusion arrhythmias for the assessment of global functional recovery of the LV [PDF]
Krystian Wita +7 more
openalex +1 more source
Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley +1 more source
Various Compression Techniques of Biomedical ECG Signal
Tilak Ram Mahore, Mehdi Mirza
openalex +1 more source
Analysis of Significant Electrocardiogram (ECG/EKG) Variations in Psychological Stress
A. U. Harisoorya +3 more
openalex +2 more sources
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova +3 more
wiley +1 more source

