Timo Knuutila

Verified Contributor3 Publications in Hub

Research Bibliography

ID: end-to-end-sensor-fusion-and-classification-of-atrial-fibrillation-using-deep-neural-networks-and-smartphone-mechanocardiography2022

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

This study shows that smartphones can detect atrial fibrillation (AFib) using vibrations from the chest with high accuracy, offering a practical and affordable heart monitoring solution.

ID: comprehensive-analysis-of-cardiogenic-vibrations-for-automated-detection-of-atrial-fibrillation-using-smartphone-mechanocardiograms2018

Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms

This study shows that a smartphone can detect atrial fibrillation (AFib) with high accuracy using chest vibrations, making heart monitoring accessible and easy for everyone without extra devices.

ID: a-new-algorithm-for-segmentation-of-cardiac-quiescent-phases-and-cardiac-time-intervals-using-seismocardiography2015

A new algorithm for segmentation of cardiac quiescent phases and cardiac time intervals using seismocardiography

This study shows how chest vibrations can measure heart mechanics and identify resting phases of the heart, which could improve imaging and early disease detection without expensive equipment.