Detect QRS complex in ECG

Vuong, Ngan; Nguyen, Ngan; Tran, Long Duc; Huynh, Tuan Van

doi:10.1109/iciea.2017.8283170

Cited by 4 publications

(3 citation statements)

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“…Several methods were proposed for peak detection in an ECG signal, including by Pan et al [ 21 ], Vuong et al [ 22 ], Kalidas et al [ 23 ], Koka et al [ 24 ] and Makowski et al [ 25 ]. Most of these methods focus on detecting the QRS complexes of a given ECG as it is the most prominent feature.…”

Section: Methodsmentioning

confidence: 99%

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Camera-Based Respiration Monitoring of Unconstrained Rodents

Breuer

Mösch

Kunczik

et al. 2023

Animals

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Animal research has always been crucial for various medical and scientific breakthroughs, providing information on disease mechanisms, genetic predisposition to diseases, and pharmacological treatment. However, the use of animals in medical research is a source of great controversy and ongoing debate in modern science. To ensure a high level of bioethics, new guidelines have been adopted by the EU, implementing the 3R principles to replace animal testing wherever possible, reduce the number of animals per experiment, and refine procedures to minimize stress and pain. Supporting these guidelines, this article proposes an improved approach for unobtrusive, continuous, and automated monitoring of the respiratory rate of laboratory rats. It uses the cyclical expansion and contraction of the rats’ thorax/abdominal region to determine this physiological parameter. In contrast to previous work, the focus is on unconstrained animals, which requires the algorithms to be especially robust to motion artifacts. To test the feasibility of the proposed approach, video material of multiple rats was recorded and evaluated. High agreement was obtained between RGB imaging and the reference method (respiratory rate derived from electrocardiography), which was reflected in a relative error of 5.46%. The current work shows that camera-based technologies are promising and relevant alternatives for monitoring the respiratory rate of unconstrained rats, contributing to the development of new alternatives for a continuous and objective assessment of animal welfare, and hereby guiding the way to modern and bioethical research.

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Section: Methodsmentioning

confidence: 99%

“… ECG-derived respiration in rats. ( a ) ECG-derived respiratory waveform after applying the approach proposed by van Gent et al [ 22 ]. ( b ) Respiratory rate of the animal computed according to Khodadad et al [ 23 ].…”

Section: Figurementioning

confidence: 99%

Camera-Based Respiration Monitoring of Unconstrained Rodents

Breuer

Mösch

Kunczik

et al. 2023

Animals

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“…For calculating the heartbeat, the number of QRS complexes of the ECG signal is calculated as [19]. The count is then multiplied by the duration of the signal and normalized to 1 minute to get the reading in beats per minute (bpm).…”

Section: Interfacing Arduino-uno With Ad8232 (Ecg Sensor) Along With ...mentioning

confidence: 99%

Identification and Classification of Human Mental Stress using Physiological Data: A Low-Power Hybrid Approach

Roy

Acharya

Biswas

et al. 2022

2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)

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This paper proposes a framework using artificial intelligence for recognizing human mental stress based on physiological data. It comprises three stages; at first, emotion detection has been carried out from the facial image using a deep learning-based framework employing convolutional neural networks (CNN). Secondly, electrocardiogram (ECG) signals have been acquired with the help of the developed sensor-based system integrating Arduino UNO with AD8232 sensor. Finally, preprocessing has been performed and extracted features from the ECG signals are fed to support vector machines (SVM) for identification of arrhythmia and hence diagnosis of mental stress. All three aspects are connected together via the overall output calculation. A score is added in accordance to the output for each of these three stages. The range of the final score (i.e., the overall output) decides the level of mental stress suffered by the person. The proposed method has been trained on FER-2013 for emotion detection and on MIT-BIH for arrhythmia detection. It is found that the performance outperforms other machine learning and deep learning models without much compromise in accuracy. The proposed method can perform classification based on the patient's current condition and gives an insight of the degree and time duration of stress of the patient.

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Camera-Based Respiration Monitoring of Unconstrained Rodents

Breuer¹,

Mösch²,

Kunczik³

et al. 2023

Preprint

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Animal research has always been crucial for various medical and scientific breakthroughs, providing information on disease mechanisms, genetic predisposition to diseases, and pharmacological treatment. However, the use of animals in medical research is a source of great controversy and ongoing debate in modern science. To ensure a high level of bioethics, new guidelines have been adopted to replace animal testing wherever possible, reduce the number of animals per experiment, and refine procedures to minimize stress and pain. Supporting these guidelines, this article proposes a novel approach for unobtrusive, continuous, and automated monitoring of the respiratory rate of laboratory rats. It uses the cyclical expansion and contraction of the rats’ thorax/abdominal region to determine this physiological parameter. In contrast to previous work, the focus is on unconstrained animals, which requires the algorithms to be especially robust to motion artifacts. To test the feasibility of the proposed approach, video material of multiple rats was recorded and evaluated. High agreement was obtained between RGB-imaging and the reference method (respiratory rate derived from electrocardiography), which was reflected in a relative error of 5.46%. The current work shows that camera-based technologies are promising and relevant alternatives for monitoring the respiratory rate of unconstrained rats, contributing to the development of new alternatives for continuous and objective assessment of animal welfare and hereby guiding the way to modern and bioethical research.

show abstract

Detect QRS complex in ECG

Cited by 4 publications

References 0 publications

Camera-Based Respiration Monitoring of Unconstrained Rodents

Camera-Based Respiration Monitoring of Unconstrained Rodents

Identification and Classification of Human Mental Stress using Physiological Data: A Low-Power Hybrid Approach

Camera-Based Respiration Monitoring of Unconstrained Rodents

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