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07-10-2017, 10:49 PM
New Software Diag**ses Cardiac Arrhytmias from ECGs Better Than Cardiologists
https://www.medgadget.com/wp-content/uploads/2017/07/heart-rhythms-300x210.jpghttps://www.medgadget.com/wp-content/uploads/2017/07/heart-rhythm.jpghttps://www.medgadget.com/wp-content/uploads/2017/07/ZIO-XT.png
Stanford researchers claim to have developed an algorithm that “exceeds the performance of board certified*cardiologists in detecting a wide range of heart arrhythmias from electrocardiograms [ECG] recorded with a single-lead wearable monitor,” according to a*study published in arXiv.
The team used the Zio (http://irhythmtech.com/products-services/about-zio)***** from iRhythm Tech**logies, a San Francisco, CA startup, which allowed them to gather ECG recordings over a period of up to two weeks. These recordings were run against a computer running a deep learning algorithm that was trained by analyzing almost 30,000 previously gathered and diag**stically assessed ECG recordings. The result is that the system is **w able to spot 14 different types of cardiac arrhythmias purportedly better than the six Stanford cardiologists that were pitted against it.
Here’s a Stanford video with the researchers that developed the algorithm:
Related flashbacks:*Medgadget Exclusive Interview with iRhythm’s CEO Kevin King… (https://www.medgadget.com/2013/05/medgadget-exclusive-interview-with-irhythms-ceo-kevin-king.html);*ZIO Wireless ***** May Be Better Option Than Holter Monitors for Cardiac Arrhythmia Diag**sis… (https://www.medgadget.com/2014/01/zio-wireless-*****-may-be-better-option-than-holter-monitors-for-cardiac-arrhythmia-diag**sis.html);
Study in arXiv: Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks… (https://arxiv.org/abs/1707.01836)
http://feeds.feedburner.com/~ff/Medgadget?d=yIl2AUoC8zA (http://feeds.feedburner.com/~ff/Medgadget?a=GeYtecddpic:CH6euGRqc5Y:yIl2AUoC8zA) http://feeds.feedburner.com/~ff/Medgadget?d=qj6IDK7rITs (http://feeds.feedburner.com/~ff/Medgadget?a=GeYtecddpic:CH6euGRqc5Y:qj6IDK7rITs) http://feeds.feedburner.com/~ff/Medgadget?i=GeYtecddpic:CH6euGRqc5Y:gIN9vFwOqvQ (http://feeds.feedburner.com/~ff/Medgadget?a=GeYtecddpic:CH6euGRqc5Y:gIN9vFwOqvQ)
http://feeds.feedburner.com/~r/Medgadget/~4/GeYtecddpic
https://www.medgadget.com/wp-content/uploads/2017/07/heart-rhythms-300x210.jpghttps://www.medgadget.com/wp-content/uploads/2017/07/heart-rhythm.jpghttps://www.medgadget.com/wp-content/uploads/2017/07/ZIO-XT.png
Stanford researchers claim to have developed an algorithm that “exceeds the performance of board certified*cardiologists in detecting a wide range of heart arrhythmias from electrocardiograms [ECG] recorded with a single-lead wearable monitor,” according to a*study published in arXiv.
The team used the Zio (http://irhythmtech.com/products-services/about-zio)***** from iRhythm Tech**logies, a San Francisco, CA startup, which allowed them to gather ECG recordings over a period of up to two weeks. These recordings were run against a computer running a deep learning algorithm that was trained by analyzing almost 30,000 previously gathered and diag**stically assessed ECG recordings. The result is that the system is **w able to spot 14 different types of cardiac arrhythmias purportedly better than the six Stanford cardiologists that were pitted against it.
Here’s a Stanford video with the researchers that developed the algorithm:
Related flashbacks:*Medgadget Exclusive Interview with iRhythm’s CEO Kevin King… (https://www.medgadget.com/2013/05/medgadget-exclusive-interview-with-irhythms-ceo-kevin-king.html);*ZIO Wireless ***** May Be Better Option Than Holter Monitors for Cardiac Arrhythmia Diag**sis… (https://www.medgadget.com/2014/01/zio-wireless-*****-may-be-better-option-than-holter-monitors-for-cardiac-arrhythmia-diag**sis.html);
Study in arXiv: Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks… (https://arxiv.org/abs/1707.01836)
http://feeds.feedburner.com/~ff/Medgadget?d=yIl2AUoC8zA (http://feeds.feedburner.com/~ff/Medgadget?a=GeYtecddpic:CH6euGRqc5Y:yIl2AUoC8zA) http://feeds.feedburner.com/~ff/Medgadget?d=qj6IDK7rITs (http://feeds.feedburner.com/~ff/Medgadget?a=GeYtecddpic:CH6euGRqc5Y:qj6IDK7rITs) http://feeds.feedburner.com/~ff/Medgadget?i=GeYtecddpic:CH6euGRqc5Y:gIN9vFwOqvQ (http://feeds.feedburner.com/~ff/Medgadget?a=GeYtecddpic:CH6euGRqc5Y:gIN9vFwOqvQ)
http://feeds.feedburner.com/~r/Medgadget/~4/GeYtecddpic