Heat map visualization for electrocardiogram data analysis

Guo, Haisen; Zhang, Weidai; Ni, Chumin; Cai, Zhixiong; Chen, Songming; Huang, Xiansheng

doi:10.1186/s12872-020-01560-8

Cited by 13 publications

(6 citation statements)

References 25 publications

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“…Making a heatmap is a useful way to show the correlation matrix in the information. This graphic helps us understand how the many factors are connected and affected by each other in a confusing way [28]. The heatmap in Fig.…”

Section: Heatmap Analysismentioning

confidence: 99%

Enhancing Wireless Sensor Network Efficiency through Al-Biruni Earth Radius Optimization

Alkanhel,

Khafaga,

Zaki

et al. 2024

CMC

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The networks of wireless sensors provide the ground for a range of applications, including environmental monitoring and industrial operations. Ensuring the networks can overcome obstacles like power and communication reliability and sensor coverage is the crux of network optimization. Network infrastructure planning should be focused on increasing performance, and it should be affected by the detailed data about node distribution. This work recommends the creation of each sensor's specs and radius of influence based on a particular geographical location, which will contribute to better network planning and design. By using the ARIMA model for time series forecasting and the Al-Biruni Earth Radius algorithm for optimization, our approach bridges the gap between successive terrains while seeking the equilibrium between exploration and exploitation. Through implementing adaptive protocols according to varying environments and sensor constraints, our study aspires to improve overall network operation. We compare the Al-Biruni Earth Radius algorithm along with Gray Wolf Optimization, Particle Swarm Optimization, Genetic Algorithms, and Whale Optimization about performance on real-world problems. Being the most efficient in the optimization process, Biruni displays the lowest error rate at 0.00032. The two other statistical techniques, like ANOVA, are also useful in discovering the factors influencing the nature of sensor data and network-specific problems. Due to the multi-faceted support the comprehensive approach promotes, there is a chance to understand the dynamics that affect the optimization outcomes better so decisions about network design can be made. Through delivering better performance and reliability for various in-situ applications, this research leads to a fusion of time series forecasters and a customized optimizer algorithm.

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Section: Heatmap Analysismentioning

confidence: 99%

Enhancing Wireless Sensor Network Efficiency through Al-Biruni Earth Radius Optimization

Alkanhel,

Khafaga,

Zaki

et al. 2024

CMC

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“…To compare the expression of LcNACs in various tissue sites, we explored the raw data of NAC gene expression in various tissues of litchi from the sapinaceae genomic database (http://www.sapindaceae.com/Gene-Expression-V2/GeneExpression.html accessed on 1 March 2023) using an interactive cartoon heat map and presented it in the form of a heat map [52,53]. To investigate the expression pattern of NAC genes involved in flower bud development and rudimentary leaf senescence in litchi, we screened differentially expressed NAC genes from transcriptomic data from previous studies of competitive development of litchi flower buds and rudimentary leaves.…”

Section: Expression Profiling Of Litchi Nac Genesmentioning

confidence: 99%

Genome-Wide Identification, Characterization, and Expression Analysis of the NAC Gene Family in Litchi chinensis

Liao

Wang

et al. 2023

Genes

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NAC proteins play an essential role in the growth and development of litchi, especially during reproductive development. However, a comprehensive analysis of the litchi NAC gene family is currently absent. Based on information from the litchi genome, we found that the 112 NAC genes of litchi show an uneven distribution on the chromosomes. Phylogenetic and conserved structural domain analyses indicated that different types of variability were exhibited in the family of litchi NACs (LcNACs). Gene covariance analysis showed that the LcNACs showed better similarity in the same genus than with Arabidopsis. We further investigated the differential expression patterns of LcNACs in buds and rudimentary leaves of litchi. qRT-PCR results implied that they were involved in the process. Profiling of LcNAC promoter elements in litchi showed that they were extensively involved in light response, phytohormone regulation, abiotic stress response, and plant growth and development processes. This study provides new insights into the identification, structural characterization, tissue-specific expression analysis, and promoter response elements of LcNACs. It reveals the characteristics of the LcNACs and lays the foundation for the subsequent understanding of its biological functions and molecular regulatory mechanisms.

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“…Especially, in clinical research, it provides a convenient method to analyze the data and research conclusion from individual ECG results. 43 In summary, the sub-micron fiber patch produced by our group has some remarkable characteristics, such as sub-micron fibers, a 3D porous structure, certain thickness, elastic deformation, good properties in conducting weak electrical signals, stability to maintain the whole structure, and self-adhesion.…”

Section: Contact With Different Liquids and Immersion In Pbsmentioning

confidence: 99%

Self-Adhesion Conductive Sub-micron Fiber Cardiac Patch from Shape Memory Polymers to Promote Electrical Signal Transduction Function

Feng

Shi

Yang

et al. 2021

ACS Appl. Mater. Interfaces

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Myocardial infarction (MI) constitutes the first cause of morbidity and mortality in our life, so using highly conductive and elastic materials to produce an engineered cardiac patch is an effective way to improve the myocardium infarction area function. Here, shape memory polymers of the polyurethane/polyaniline/silicon oxide (PU/PANI/SiO2) electrospinning sub-micron fiber patch were precisely produced in the case of the hydrogen bonding effect and interaction between the carboxyl groups to provide compatibility, phase mixing/miscibility, and stability. The sub-micron fiber patch prepared by our group has some remarkable characteristics, such as sub-micron fibers, 3D porous structure, special thickness to simulate the extracellular matrix (ECM), elastic deformation, good properties in conducting weak electrical signals, stability to maintain the whole structure, and self-adhesion. This sub-micron fiber material has been proven to be effective, easy, and reliable. Through precise design of the material system, structure regulation, and performance optimization, the aim is to produce a sub-micron fiber cardiac patch to simulate the myocardium ECM and improve conductive signal transduction for potential MI therapy.

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Heat map visualization for electrocardiogram data analysis

Cited by 13 publications

References 25 publications

Enhancing Wireless Sensor Network Efficiency through Al-Biruni Earth Radius Optimization

Enhancing Wireless Sensor Network Efficiency through Al-Biruni Earth Radius Optimization

Genome-Wide Identification, Characterization, and Expression Analysis of the NAC Gene Family in Litchi chinensis

Self-Adhesion Conductive Sub-micron Fiber Cardiac Patch from Shape Memory Polymers to Promote Electrical Signal Transduction Function

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