Results 61 to 70 of about 37,206,520 (227)
Synchrosqueezed transform (SST) is a time–frequency analysis method that can improve energy aggregation and reconstruct signals, which has been applied in the fields of medical treatment, fault diagnosis, and seismic wave processing.
Yanlu Chen +3 more
doaj +1 more source
ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess +5 more
wiley +1 more source
Fault detection and classification in electrical motors are essential for condition monitoring and predictive maintenance. This study proposes a hybrid learning framework that combines genetic algorithm–optimized Morse wavelet–based time ...
Rohullah Rahmatullah +2 more
doaj +1 more source
ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu +8 more
wiley +1 more source
Modulation-Based Feature Extraction for Robust Sleep Stage Classification Across Apnea-Based Cohorts
Automated sleep staging remains challenging due to the transitional nature of certain sleep stages, particularly N1. In this paper, we explore modulation spectrograms for automatic sleep staging to capture the transitional nature of sleep stages and ...
Unaza Tallal +2 more
doaj +1 more source
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba +29 more
wiley +1 more source
Time-frequency analysis of atomic clock anomalies
Atomic clocks are key elements in several applications, such as global navigation satellite systems. Monitoring their behavior is therefore fundamental. Since during an anomaly the frequency spectrum of the signal made by the clock frequency measurements
Galleani, Lorenzo, Lorenzo Galleani
core +1 more source
Background: Electroencephalography (EEG) signals are widely used for monitoring anesthesia depth during surgery. Current commercial indicators are largely closed-source and may reflect dynamic changes with some delay.
Saliha Kevser Kavuncu +2 more
doaj +1 more source
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
wiley +1 more source
Adaptive noise cancelling and time–frequency techniques for rail surface defect detection [PDF]
Adaptive noise cancelling (ANC) is a technique which is very effective to remove additive noises from the contaminated signals. It has been widely used in the fields of telecommunication, radar and sonar signal processing.
Liang, B. +11 more
core +1 more source

