Role of metaheuristic algorithms in healthcare: a comprehensive investigation across clinical diagnosis, medical imaging, operations management, and public health
Metaheuristic algorithms have emerged in recent years as effective computational tools for
addressing complex optimization problems in many areas, including healthcare. These …
addressing complex optimization problems in many areas, including healthcare. These …
An adaptive data compression technique based on optimal thresholding using multi-objective PSO algorithm for power system data
The widespread development of monitoring devices in power system has indeed led to the
generation of large amounts of power consumption data. Storing and transmitting this …
generation of large amounts of power consumption data. Storing and transmitting this …
ECG signal compression based on optimization of wavelet parameters and threshold levels using evolutionary techniques
The ECG (electrocardiogram) signals are an indicator of the electrical activity of the heart.
Given its noninvasive nature ECG are an extremely popular medium for heart checkups …
Given its noninvasive nature ECG are an extremely popular medium for heart checkups …
Noise confiscation from sEMG through enhanced adaptive filtering based on evolutionary computing
Electromyogram (EMG) signal is the electrical form of muscular activity that could be used to
diagnose myopathy and neuropathy disorders. Several artefacts are getting imposed on the …
diagnose myopathy and neuropathy disorders. Several artefacts are getting imposed on the …
ECG compression based on empirical mode decomposition and tunable-Q wavelet transform with validation using heartbeat classification
N Sharma, RK Sunkaria - Signal, Image and Video Processing, 2024 - Springer
In telemedicine-based healthcare system, such as cardiac health monitoring system, large
amount of data needs to be stored and transferred. This requires stupendous bandwidth and …
amount of data needs to be stored and transferred. This requires stupendous bandwidth and …
Optimized Tunable-Q Wavelet Transform-Based 2-D ECG Compression Technique Using DCT
Electrocardiogram (ECG) signals are one of the fundamental health indicators used in the
continuous monitoring and diagnosis of severe heart diseases. The acquisition of long-term …
continuous monitoring and diagnosis of severe heart diseases. The acquisition of long-term …
A new automated compression technique for 2D electrocardiogram signals using discrete wavelet transform
Background The long-term electrocardiogram (ECG) signals are one of the crucial tools for
the detection of severe heart diseases. However, a huge data is generated in its acquisition …
the detection of severe heart diseases. However, a huge data is generated in its acquisition …
A hybrid 2d ecg compression algorithm using dct and embedded zero tree wavelet
Electrocardiogram (ECG) signal plays a key role in the identification of heart diseases. ECG
data is recorded to identify different heart abnormalities and a large amount of data is …
data is recorded to identify different heart abnormalities and a large amount of data is …
ECG data compression using the formation of QRS-complex segment bank and integer DCT-based plateau region processing
A Pandey - Biomedical Signal Processing and Control, 2023 - Elsevier
Electrocardiogram (ECG) data is essential for evaluating cardiac health conditions. Long-
term ECG signal monitoring needs a considerable amount of memory for storage, impacting …
term ECG signal monitoring needs a considerable amount of memory for storage, impacting …
Hybrid technique for crop image compression using discrete wavelet transform and sparse singular vector reconstruction
In this paper, a hybrid compression technique, based on discrete wavelet transform (DWT)
and singular vector sparse reconstruction (SVSR), is proposed. In the initial phase, an …
and singular vector sparse reconstruction (SVSR), is proposed. In the initial phase, an …