Results 21 to 30 of about 429 (129)

Multidimensional embedded MEMS motion detectors for wearable mechanocardiography and 4D medical imaging [PDF]

, 2018
Background: Cardiovascular diseases are the number one cause of death. Of these deaths, almost 80% are due to coronary artery disease (CAD) and cerebrovascular disease.
Jafari Tadi, Mojtaba
core   +4 more sources

2021 ISHNE / HRS / EHRA / APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology / Heart Rhythm Society / European Heart Rhythm Association / Asia Pacific Heart Rhythm Society. [PDF]

Eur Heart J Digit Health, 2021
Abstract This collaborative statement from the International Society for Holter and Noninvasive Electrocardiology/ Heart Rhythm Society/ European Heart Rhythm Association/ Asia Pacific Heart Rhythm Society describes the current status of mobile health ("mHealth") technologies in arrhythmia management. The range of digital medical tools and heart rhythm
Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen LY, Couderc JP, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, Svennberg E.   +23 more
europepmc   +3 more sources

Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation. [PDF]

NPJ Digit Med, 2019
There is an unmet clinical need for a low cost and easy to use wearable devices for continuous cardiovascular health monitoring. A flexible and wearable wristband, based on microelectromechanical sensor (MEMS) elements array was developed to support this
Kaisti M, Panula T, Leppänen J, Punkkinen R, Jafari Tadi M, Vasankari T, Jaakkola S, Kiviniemi T, Airaksinen J, Kostiainen P, Meriheinä U, Koivisto T, Pänkäälä M.   +12 more
europepmc   +3 more sources

A model to enhance the atrial fibrillations’ risk detection using deep learning [PDF]

, 2022
Atrial fibrillation (AF) is a complex arrhythmia linked to a variety of common cardiovascular illnesses and conventional cardiovascular risk factors. Although awareness and improved detection of AF have improved over the last decade as the incidence and ...
Al-Rajab, Murad, Almazrouei, Majed
core   +5 more sources

End-to-end sensor fusion and classification of atrial fibrillation using deep neural networks and smartphone mechanocardiography

Physiological Measurement, 2022
Objective. The purpose of this research is to develop a new deep learning framework for detecting atrial fibrillation (AFib), one of the most common heart arrhythmias, by analyzing the heart’s mechanical functioning as reflected in seismocardiography ...
Saeed Mehrang, Mojtaba Jafari Tadi, Timo Knuutila, J. Jaakkola, S. Jaakkola, T. Kiviniemi, T. Vasankari, J. Airaksinen, T. Koivisto, Mikko Pänkäälä   +9 more
semanticscholar   +1 more source

Mobile Phone Detection of Atrial Fibrillation With Mechanocardiography: The MODE-AF Study (Mobile Phone Detection of Atrial Fibrillation). [PDF]

Circulation, 2018
Because of the frequent asymptomatic presentation of atrial fibrillation (AF), stroke is too often its first manifestation. 1 For effective stroke prevention, timely diagnosis of AF is crucial. Mobile devices are becoming ubiquitous, providing significant possibilities for screening applications.
J. Jaakkola, S. Jaakkola, O. Lahdenoja, Tero Hurnanen, T. Koivisto, Mikko Pänkäälä, Timo Knuutila, T. Kiviniemi, T. Vasankari, K. Airaksinen   +9 more
semanticscholar   +4 more sources

2021 ISHNE/HRS/EHRA/APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals

Journal of Arrhythmia, Volume 37, Issue 2, Page 271-319, April 2021., 2021
Abstract This collaborative statement from the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific Heart Rhythm Society describes the current status of mobile health (“mHealth”) technologies in arrhythmia management.
Niraj Varma, Iwona Cygankiewicz, Mintu Turakhia, Hein Heidbuchel, Yufeng Hu, Lin Yee Chen, Jean‐Philippe Couderc, Edmond M. Cronin, Jerry D. Estep, Lars Grieten, Deirdre A. Lane, Reena Mehra, Alex Page, Rod Passman, Jonathan Piccini, Ewa Piotrowicz, Ryszard Piotrowicz, Pyotr G. Platonov, Antonio Luiz Ribeiro, Robert E. Rich, Andrea M. Russo, David Slotwiner, Jonathan S. Steinberg, Emma Svennberg   +23 more
wiley   +1 more source

A study of pulmonary artery pressure, electrocardiography, and mechanocardiography in thoracic scoliosis. [PDF]

Thorax, 1977
Cardiac catheterisation was carried out in 40 patients with thoracic scoliosis in order to measure the pulmonary artery pressure. Statistical correlations were calculated between these results and the electrocardiographic and mechanocardiographic findings determined on a separate occasion. The pulmonary artery pressure was normal in 72% of subjects. It
J. Shneerson, A. Venco, F. Prime
semanticscholar   +3 more sources

Phonocardiography and mechanocardiography as the old-fashioned, but indispensable diagnostic tools in clinical cardiology.

Japanese Circulation Journal, 1982
Phonocardiography and mechanocardiography are indispensable diagnostic tools in clinical cardiology though several limitations are inherently present. They should not be abandoned even in the era of echocardiography, and they are so rewarding in so many cases that we have to consider properly what we can expect and what we cannot prior to answering to ...
T. Sakamoto
semanticscholar   +4 more sources

Pervasive health care services and technologies. [PDF]

Int J Telemed Appl, 2008
International Journal of Telemedicine and Applications, Volume 2008, Issue 1, 2008.
Hussain S, Yang LT, Laforest F, Verdier C.   +3 more
europepmc   +2 more sources