An approach of Feature extraction of ECG signal of CLAS database

Atanasov, Veselin; Sivkov, Yordan; Velikov, Nikolay

doi:10.1109/bia50171.2020.9244497

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…Using the above-mentioned data (Table 1 and Figure 3) and mathematical expressions, a study was conducted to assess the adequacy of the selected PBCD techniques for urban area disaster consequences assessment. The study was executed using MATLAB by developing the GUI, algorithms and corresponding source code for reading, image processing and mixing the satellite image (as a background) and the PBCD index mask showing the locations and areas with changes detected [6,8,10,12,14,16,18]. Table 3 shows the summary of the survey final results expressed in square kilometers and ratio to gain a more realistic assessment of the performance of the tested techniques.…”

Section: Change Detection Techniquesmentioning

confidence: 99%

Change detection techniques for urban area disaster assessment using high resolution satellite data

Tsvetkov

2023

Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023)

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Unfortunately, the year 2023 began with a devastating earthquakes unprecedented in recent years, spreading over the territories of two neighboring countries (Turkey and Syria) located on the same tectonic plate. On the night of February 6, 2023, Turkey and Syria were hit by a powerful 7.8 magnitude earthquake. The earthquake was one of the strongest in the region in more than a century. Even more devastation was caused by aftershocks that hit both countries hours later. A few days later, weaker earthquakes were reported in two other countries (Romania and Croatia) located on different with respect to first one, but neighboring, tectonic plate. This paper represents an approach for using change detection techniques based on free access high resolution Earth observation satellite data (Sentinel, Landsat) for assessment of the consequences caused by earthquakes in an urban area. Known change detection techniques have been investigated such as: image differencing, image rationing, change detection based on indexes calculation and comparison, etc.As a result, a comparative analysis of the investigated change detection techniques with respect to an urban area adequacy is presented.

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Section: Change Detection Techniquesmentioning

confidence: 99%

Change detection techniques for urban area disaster assessment using high resolution satellite data

Tsvetkov

2023

Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023)

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“…Such transportable monitoring gadgets can help throughout their treatment monitoring chronic illnesses like cardiovascular assaults, bronchitis, and hypertension, as much as enabling monitoring collecting vital facts about such patient's individual wearer's anatomy. Electrocardiogram, blood oxygenation saturation, breathing, & physical obesity may all be monitored pulses [7]. The clinical assist gadget was intended to give lengthy help to disabled people.…”

Section: Introductionmentioning

confidence: 99%

Implementation of QT Interval Measurement to Remove Errors in ECG

Chitra¹,

Jayalakshmi²

2022

IJACSA

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Wireless Body Sensor Network (WBSNs) are devices that can be ported with different detection, storage, computer, but also communication capabilities. Interfacing was beneficial whenever information was collected by many sources, which may lead to erroneous sensory information. During this paper, an information nuclear fission Ensembles technique for working raw healthcare information through WBSNs during ambient cloud computer settings as described. Monitoring data were collected through various instruments and combined to provide statistics on high movements. The simulation was conducted using the low-cost Internet of Things (IoT) surveillance system on chronic kidney disease (CKD). Biosensors have been used in healthcare surveillance systems to record health problems. Patients with CKD would benefit from the developed surveillance system, which will facilitate the early diagnosis of the predominant diseases. This merged information was then sent into using the Aggregation algorithm can forecast premature cardiac illness and CKD. These groups were housed within a Cloud processing context; therefore these forecasting calculations were distributed. Another lengthy practical investigation backs that system provides application, while those findings were encouraging, with 98 percent efficiency whenever the height of that tree was equivalent with 15, total amount if estimation methods are 40, while the overall predicting job was based upon 8 attributes. We compute a mean square ECG waveform from all available leads and use a new technique to measure the QT interval. We tested this algorithm using standard and unique ECG databases. Our real-time QT interval measurement algorithm was found to be stable, accurate, and capable of tracking changing QT values.

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An approach of Feature extraction of ECG signal of CLAS database

Cited by 2 publications

References 15 publications

Change detection techniques for urban area disaster assessment using high resolution satellite data

Change detection techniques for urban area disaster assessment using high resolution satellite data

Implementation of QT Interval Measurement to Remove Errors in ECG

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