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Related papers: A tutorial on electrogastrography using low-cost h…

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Gastric content's mass and pH commonly assessed invasively using endoscopic biopsy, or semi-invasively using swallowable transducer. EGG (electrogastrography) is a technique for observing gastric myoelectrical activity non-invasively, that…

Tissues and Organs · Quantitative Biology 2014-12-09 Tyas Pandu Fiantoro , Adhi Susanto , Bondhan Winduratna

The stomach plays a central role in digestion through coordinated muscle contractions, known as gastric peristalsis, driven by slow-wave electrophysiology. Understanding this process is critical for treating motility disorders such as…

Computational Engineering, Finance, and Science · Computer Science 2025-12-15 Maire S. Henke , Sebastian Brandstaeter , Sebastian L. Fuchs , Roland C. Aydin , Alessio Gizzi , Christian J. Cyron

The purpose of the Evaluating ECG capturing using sound-card of PC/Laptop is provided portable and low cost ECG monitoring system using laptop and mobile phones. There is no need to interface micro controller or any other device to transmit…

Other Computer Science · Computer Science 2014-02-18 Bhavikkumar Patel , Dhrumil Shah

Magnetically controlled capsule endoscope (MCCE) is an emerging tool for the diagnosis of gastric diseases with the advantages of comfort, safety, and no anesthesia. In this paper, we develop algorithms to detect and measure human gastric…

Image and Video Processing · Electrical Eng. & Systems 2023-01-25 Xueshen Li , Yu Gan , David Duan , Xiao Yang

This technical paper provides a tutorial to build a low-cost (10-100 USD) and easy to assemble ECG device (ArdMob-ECG) that can be easily used for a variety of different scientific studies. The advantage of this device is that it…

Signal Processing · Electrical Eng. & Systems 2022-04-04 Tim Julian Möller , Martin Voss , Laura Kaltwasser

The industry of wearable remote health monitoring system keeps growing. In the diagnosis of cardiovascular disease, Electrocardiography~(ECG) waveform is one of the major tools which is thus widely taken as the monitoring objective. For the…

Information Theory · Computer Science 2017-04-07 Pengda Huang

The electrocardiogram (ECG) signal is one of the most vital signals that can be used to investigate the performance of heart. Based on the ECG graph, we can identify different disorders and diseases. Therefore, monitoring this signal is of…

Signal Processing · Electrical Eng. & Systems 2023-02-22 Soheil Khooyooz , Mohammad Ali Ahmadi-Pajouh , Kamyab Azizi

Electrocardiogram (ECG) is a valuable tool for medical diagnosis used worldwide. Its use has contributed significantly to the prevention of cardiovascular diseases including infarctions. Although physicians need to see the printed curves…

Image and Video Processing · Electrical Eng. & Systems 2024-08-22 Manuel Pazos-Santomé , Fernando Martín-Rodríguez , Mónica Fernández-Barciela

Recent research in the enteric nervous system, sometimes called the second brain, has revealed potential of the digestive system in predicting emotion. Even though people regularly experience changes in their gastrointestinal (GI) tract…

Human-Computer Interaction · Computer Science 2018-09-14 Jelena Mladenović

For several decades, electroencephalography (EEG) has featured as one of the most commonly used tools in emotional state recognition via monitoring of distinctive brain activities. An array of datasets have been generated with the use of…

Electrocardiogram (ECG) is one of the most convenient and non-invasive tools for monitoring peoples' heart condition, which can use for diagnosing a wide range of heart diseases, including Cardiac Arrhythmia, Acute Coronary Syndrome, et al.…

Signal Processing · Electrical Eng. & Systems 2020-07-08 Shenda Hong , Zhaoji Fu , Rongbo Zhou , Jie Yu , Yongkui Li , Kai Wang , Guanlin Cheng

Electromyography is an unexplored field of study when it comes to alternate input modality while interacting with a computer. However, to make computers understand human emotions is pivotal in the area of human-computer interaction and in…

Human-Computer Interaction · Computer Science 2019-11-14 Muhammad Shihab Rashid , Zubayet Zaman , Hasan Mahmud , Md. Kamrul Hasan

An electrocardiogram (EKG) is a common, non-invasive test that measures the electrical activity of a patient's heart. EKGs contain useful diagnostic information about patient health that may be absent from other electronic health record…

Machine Learning · Statistics 2018-12-04 Andrew C. Miller , Ziad Obermeyer , David M. Blei , John P. Cunningham , Sendhil Mullainathan

The electrocardiogram (ECG) is a well-known technique used to diagnose cardiac diseases. To acquire the spatial signal characteristics from the thorax, multiple electrodes are commonly used. Displacements of electrodes affect the signal…

Medical Physics · Physics 2021-12-15 Andra Oltmann , Roman Kusche , Philipp Rostalski

Electrocardiogram (ECG) is a widely used tool for assessing cardiac function due to its low cost and accessibility. Emergent research shows that ECGs can help make predictions on key outcomes traditionally derived from more complex…

Computer Vision and Pattern Recognition · Computer Science 2025-10-01 Yuan Gao , Sangwook Kim , Chris McIntosh

For researchers in electromyography (EMG), and similar biosginals, signal processing is naturally an essential topic. There are a number of excellent tools available. To these one may add the freely available open source statistical…

Data Analysis, Statistics and Probability · Physics 2015-03-19 Frank Borg

Real-time monitoring of the gastrointestinal tract in a safe and comfortable manner is valuable for the diagnosis and therapy of many diseases. Within this realm, our review captures the trends in ingestible capsule systems with a focus on…

Electroencephalography (EEG) is an non-invasive method to record the electrical activity of the brain. The EEG signals are low bandwidth and recorded from multiple electrodes simultaneously in a time synchronized manner. Typical EEG signal…

Signal Processing · Electrical Eng. & Systems 2024-12-24 Sunil Kumar Kopparapu

A complete system solution extracting signals from the patient chest with three leads including motion artifact removal in both analog and digital implementations are described. The resulting ECG signal is transferred via Bluetooth low…

Signal Processing · Electrical Eng. & Systems 2019-03-22 Ehsan Hadizadeh , Rozhan Rabbani , Zohreh Azizi , Matin Barekatain , Kourosh Hakhamaneshi , Erfan Khoram , Ali Fotowat-Ahmady

ECGSYN, a dynamical model that faithfully reproduces the main features of the human electrocardiogram (ECG), including heart rate variability, RR intervals and QT intervals is presented. Details of the underlying algorithm and an…

Medical Physics · Physics 2007-05-23 Patrick E. McSharry , Gari D. Cifford
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