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Automatic detection of atrial fibrillation using MEMS accelerometer

Tero Koivisto, Mikko Pankaala, Tero Hurnanen, Tuija Vasankari, Tuomas Kiviniemi, Antti Saraste, Juhani Airaksinen
2015 2015 Computing in Cardiology Conference (CinC)  
The aim of the study was to assess the applicability of seismocardiogram (SCG) for the detection of atrial fibrillation (AF) in telemonitoring applications.  ...  SCG data used in this study consists of simultaneous SCG and ECG recordings of 12 patients during both AF and sinus rhythm (after cardioversion).  ...  Conclusion In this paper, it was shown that it is possible to separate sinus rhythm from atrial fibrillation with high accuracy using only MEMS accelerometer.  ... 
doi:10.1109/cic.2015.7411039 dblp:conf/cinc/KoivistoPHVKSA15 fatcat:nd2yqydvxjfmzntpfhxrzyzuxa

Research progress on wearable devices for daily human health management

Anan Li, Ping Shi
2022 Wearable Technology  
and specific analysis methods of their applications and made a prospect of its development trend in the field of human health.  ...  <p>As the public's demand for portable access to personal health information continues to expand, wearable devices are not only widely used in clinical practice, but also gradually applied to the daily  ...  Atrial fibrillation is a serious arrhythmia phenomenon, accompanied by a variety of complications, is the main cause of myocardial infarction and other heart diseases, in order to realize automatic atrial  ... 
doi:10.54517/wt.v2i1.1654 fatcat:o3v2egzuxbeiflj35mzqpd7v5y

Comparison of Seismocardiography Based Heart Rate Measurement Method

Bayu Erfianto, Achmad Rizal, Vera Suryani
2020 Journal of Southwest Jiaotong University  
Our Method 2 allows us to detect Aorta Open-Aorta Open value between 400ms and 450ms using Berkeley Packet Filter 5-15 Hz with dynamic peak threshold from the Hilbert envelope.  ...  The article describes a new alternative method of detecting the Aorta Open fiducial point based on digital signal processing formulated from the average seismocardiogram cycle obtained from the 6-degree-of-freedom  ...  ., and AIRAKSINEN, J. (2016) Detection of atrial fibrillation with seismocardiography.  ... 
doi:10.35741/issn.0258-2724.55.6.12 fatcat:2jmuwdqifrez3bbiqnw2io76bm

Recent Advances in Seismocardiography

Amirtahà Taebi, Brian Solar, Andrew Bomar, Richard Sandler, Hansen Mansy
2019 Vibration  
Recent studies demonstrated the potential clinical utility of SCG signals for the detection and monitoring of certain cardiovascular conditions.  ...  New diagnostic tools are needed to provide early detection and intervention to reduce mortality and increase both the duration and quality of life for patients with heart disease.  ...  However, the same study [48] created a binary classifier (normal vs. atrial fibrillation) and achieved an accuracy of 98.7% using an SVM.  ... 
doi:10.3390/vibration2010005 pmid:34113791 pmcid:PMC8189030 fatcat:tfulqkk3hvg6fdhpqulbtk6te4

ECG Noise Reduction with the Use of the Ant Lion Optimizer Algorithm

K. H. Hii, V. Narayanamurthy, F. Samsuri
2019 Engineering, Technology & Applied Science Research  
A dataset of the extracted features of the ECG spectrums is used to train the ALO. The performance of the ALO is investigated.  ...  In this paper, the use of Ant Lion Optimizer (ALO) for optimizing and identifying the cutoff frequency of the ECG signal for low-pass filtering is investigated.  ...  ACKNOWLEDGEMENT The authors are grateful to the University of Malaysia Pahang and the Ministry of Education of Malaysia for supporting this collaboration work under the scholarship GRS 140329.  ... 
doi:10.48084/etasr.2766 fatcat:2en3l4bdafg6rophxdqz6cwsva

Recent Research for Unobtrusive Atrial Fibrillation Detection Methods Based on Cardiac Dynamics Signals: A Survey

Fangfang Jiang, Yihan Zhou, Tianyi Ling, Yanbing Zhang, Ziyu Zhu
2021 Sensors  
Atrial fibrillation (AF) is the most common cardiac arrhythmia. It tends to cause multiple cardiac conditions, such as cerebral artery blockage, stroke, and heart failure.  ...  The morbidity and mortality of AF have been progressively increasing over the past few decades, which has raised widespread concern about unobtrusive AF detection in routine life.  ...  Koivisto et al. used the RF classifier to classify 5 s BCG signals for detecting atrial fibrillation and compared it with the SVM classifier [22] .  ... 
doi:10.3390/s21113814 pmid:34072986 fatcat:ehsbbivddrgsvjdi7obolpxsym

Seismocardiography with Smartphones: No Leap from Bench to Bedside (Yet) [chapter]

Urs-Vito Albrecht, Dennis Lawin, Sebastian Kuhn, Ulf Kulau
2022 Studies in Health Technology and Informatics  
identify the most meaningful and reasonable benefit of this method.  ...  To possibly increase the chances of a successful implementation, the added value of the method needs to be addressed clearly and backed up by research. The authors address the following aspects. 1.  ...  Indication one; atrial fibrillation; myocardial infraction; cardio-vascular disease; other; n.a. Research yes; no Setting bench; bedside; both; n.a.  ... 
doi:10.3233/shti220715 pmid:35773861 fatcat:h7rdrjhvfvh7rcp3w4t6i6g67i

Gyrocardiography: A Review of the Definition, History, Waveform Description, and Applications

Szymon Sieciński, Paweł S. Kostka, Ewaryst J. Tkacz
2020 Sensors  
Gyrocardiography (GCG) is a non-invasive technique of analyzing cardiac vibrations by a MEMS (microelectromechanical system) gyroscope placed on a chest wall.  ...  Based on the analyzed works, we present the definition of GCG as a technique for registration and analysis of rotational component of local cardiac vibrations, waveform annotation, several applications  ...  The studies on detecting atrial fibrillation in GCG are based on the irregularities of the inter-beat intervals [61, 64, 65, 77] .  ... 
doi:10.3390/s20226675 pmid:33266401 fatcat:meldvfcobvdjvoshwtaxmvyez4

Driver Cardiovascular Disease Detection Using Seismocardiogram

Gediminas Uskovas, Algimantas Valinevicius, Mindaugas Zilys, Dangirutis Navikas, Michal Frivaldsky, Michal Prauzek, Jaromir Konecny, Darius Andriukaitis
2022 Electronics  
The estimation of the heart rate (HR) is calculated through automatically detected aortic valve opening (AO) peaks.  ...  This article deals with the treatment and application of cardiac biosignals, an excited accelerometer, and a gyroscope in the prevention of accidents on the road.  ...  In accordance with the method proposed in this article in 2017, Finnish scientists have applied the automatic recognition of seizures to the experimental test for atrial fibrillation [45] .  ... 
doi:10.3390/electronics11030484 fatcat:qql37d3yofa2pe2qa5mvym3rle

The Emerging Wearable Solutions in mHealth [chapter]

Fang Zhao, Meng Li, Joe Z. Tsien
2016 Mobile Health Technologies - Theories and Applications  
This chapter reviews recent progress in the field of wearable technologies with a focus on key solutions for fall detection and prevention, Parkinson's disease assessment and cardiac disease, blood pressure  ...  Sweeping efforts are under way to develop a wide variety of smartphonelinked wearable biometric sensors and systems.  ...  identify nonlethal cardiac arrhythmias [67] , including bradycardia ≤40 bpm, pause ≥3 seconds, atrial fibrillation, ventricular tachycardia or ventricular fibrillation, tachycardia HR >130 bpm, a-Fib  ... 
doi:10.5772/63557 fatcat:74i6abxp7rarfg6wj7qjgaozmi

Improvements of the Analysis of Human Activity Using Acceleration Record of Electrocardiographs

Itaru Kaneko, Yutaka Yoshida, Emi Yuda
2019 Zenodo  
It is a wearable electrocardiograph that records 24-hour electrocardiograms in a built-in flash memory, making it possible to detect atrial fibrillation (Atrial Fibrillation, AF) through all-day activities  ...  It is also useful for screening for diseases other than atrial fibrillation and for improving health.  ...  In conducting the experiment, the volunteers of the test subjects cooperated, and in analysing the data, we received the cooperation of many people, including those of the Suzuken Kenz Division, I am very  ... 
doi:10.5281/zenodo.3557314 fatcat:qwyaa3jqqncuvosdqawm2gze7y

2018 Index IEEE Journal of Biomedical and Health Informatics Vol. 22

2018 IEEE journal of biomedical and health informatics  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, JBHI July 2018 1001-1010 Atrial Fibrillation Detection via Accelerometer and Gyroscope of a Smartphone.  ...  ., +, JBHI March 2018 495-502 Atrial Fibrillation Detection via Accelerometer and Gyroscope of a Smartphone.  ... 
doi:10.1109/jbhi.2018.2880294 fatcat:3cy3e7no55emlgbxfe3mwef3vu

Mobile and E-Healthcare: Recent Trends and Future Directions

Rahul K Kher
2016 Journal of Health & Medical Economics  
This is the era of cut-throat competition filled with immense stress which leads to the detection of various diseases even in the people of early age.  ...  With the development of networks, collected health information can be sent to the cloud server of the nearest clinic or hospital. Doctors can then provide patients with medical advice.  ...  [60] have proposed an intelligent telecardiology system using a wearable and wireless ECG to detect atrial fibrillation.  ... 
doi:10.21767/2471-9927.100010 fatcat:qoil33b42vgsnffhuu3hhbog3a

Accurate Heartbeat Detection on Ballistocardiogram Accelerometric Traces

Niccolo Mora, Federico Cocconcelli, Guido Matrella, Paolo Ciampolini
2020 IEEE Transactions on Instrumentation and Measurement  
A triaxial accelerometer and a microcontroller unit are used to record heart-induced recoil forces generated from a lying subject.  ...  Such a procedure is derived from an automatic calibration, which is carried out with no need of concurrent Electro-CardioGram (ECG) or user intervention.  ...  Riccardo Piazza for his contribution in developing part of the measurement system and for the help in data collection.  ... 
doi:10.1109/tim.2020.2998644 fatcat:6kx3gvibezd7xcxdvvh37n32t4

Recent Advances in Materials and Flexible Sensors for Arrhythmia Detection

Matthew Guess, Nathan Zavanelli, Woon-Hong Yeo
2022 Materials  
Arrhythmias are one of the leading causes of death in the United States, and their early detection is essential for patient wellness.  ...  In this review, we analyze the current trends in flexible wearable sensors for cardiac monitoring and the efficacy of these devices for arrhythmia detection.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ma15030724 pmid:35160670 pmcid:PMC8836661 fatcat:i5ukj3x5avf5jlumnk6d2sqobq
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