| Gyrocardiography: A new non-invasive monitoring method for the assessment of cardiac mechanics and the estimation of hemodynamic variables M Jafari Tadi, E Lehtonen, A Saraste, J Tuominen, J Koskinen, M Teräs, ... Scientific reports 7 (1), 1-11, 2017 | 123 | 2017 |
| Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation M Kaisti, T Panula, J Leppänen, R Punkkinen, M Jafari Tadi, T Vasankari, ... NPJ digital medicine 2 (1), 39, 2019 | 93 | 2019 |
| A real-time approach for heart rate monitoring using a Hilbert transform in seismocardiograms MJ Tadi, E Lehtonen, T Hurnanen, J Koskinen, J Eriksson, M Pänkäälä, ... Physiological measurement 37 (11), 1885, 2016 | 92 | 2016 |
| Accelerometer-based method for extracting respiratory and cardiac gating information for dual gating during nuclear medicine imaging MJ Tadi, T Koivisto, M Pänkäälä, A Paasio Journal of Biomedical Imaging 2014, 6-6, 2014 | 88 | 2014 |
| Automated detection of atrial fibrillation based on time–frequency analysis of seismocardiograms T Hurnanen, E Lehtonen, MJ Tadi, T Kuusela, T Kiviniemi, A Saraste, ... IEEE journal of biomedical and health informatics 21 (5), 1233-1241, 2016 | 69 | 2016 |
| Seismocardiography: Toward heart rate variability (HRV) estimation MJ Tadi, E Lehtonen, T Koivisto, M Pänkäälä, A Paasio, M Teräs 2015 IEEE International Symposium on Medical Measurements and Applications …, 2015 | 46 | 2015 |
| Multiclass classifier based cardiovascular condition detection using smartphone mechanocardiography Z Iftikhar, O Lahdenoja, M Jafari Tadi, T Hurnanen, T Vasankari, ... Scientific reports 8 (1), 9344, 2018 | 41 | 2018 |
| Gyrocardiography: A new non-invasive approach in the study of mechanical motions of the heart. Concept, method and initial observations MJ Tadi, E Lehtonen, M Pankäälä, A Saraste, T Vasankari, M Terás, ... 2016 38th Annual International Conference of the IEEE engineering in …, 2016 | 37 | 2016 |
| Stand-alone heartbeat detection in multidimensional mechanocardiograms M Kaisti, MJ Tadi, O Lahdenoja, T Hurnanen, A Saraste, M Pänkäälä, ... IEEE Sensors Journal 19 (1), 234-242, 2018 | 36 | 2018 |
| A new algorithm for segmentation of cardiac quiescent phases and cardiac time intervals using seismocardiography MJ Tadi, T Koivisto, M Pänkäälä, A Paasio, T Knuutila, M Teräs, ... Sixth International Conference on Graphic and Image Processing (ICGIP 2014 …, 2015 | 26 | 2015 |
| Heart rate variability estimation with joint accelerometer and gyroscope sensing O Lahdenoja, T Humanen, MJ Tadi, M Pänkäälä, T Koivisto 2016 Computing in Cardiology Conference (CinC), 717-720, 2016 | 22 | 2016 |
| A smartphone-only solution for detecting indications of acute myocardial infarction O Lahdenoja, T Koivisto, MJ Tadi, Z Iftikhar, T Hurnanen, T Vasankari, ... 2017 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2017 | 20 | 2017 |
| Comprehensive analysis of cardiogenic vibrations for automated detection of atrial fibrillation using smartphone mechanocardiograms MJ Tadi, S Mehrang, M Kaisti, O Lahdenoja, T Hurnanen, J Jaakkola, ... IEEE Sensors Journal 19 (6), 2230-2242, 2018 | 18 | 2018 |
| Classification of atrial fibrillation and acute decompensated heart failure using smartphone Mechanocardiography: a multilabel learning approach S Mehrang, O Lahdenoja, M Kaisti, MJ Tadi, T Hurnanen, A Airola, ... IEEE Sensors Journal 20 (14), 7957-7968, 2020 | 16 | 2020 |
| A miniaturized low power biomedical sensor node for clinical research and long term monitoring of cardiovascular signals J Tuominen, E Lehtonen, MJ Tadi, J Koskinen, M Pänkäälä, T Koivisto 2017 IEEE international symposium on circuits and systems (ISCAS), 1-4, 2017 | 16 | 2017 |
| A novel dual gating approach using joint inertial sensors: Implications for cardiac PET imaging MJ Tadi, J Teuho, E Lehtonen, A Saraste, M Pänkäälä, T Koivisto, ... Physics in Medicine & Biology 62 (20), 8080, 2017 | 12 | 2017 |
| Machine learning based classification of myocardial infarction conditions using smartphone-derived seismo-and gyrocardiography S Mehrang, MJ Tadi, M Kaisti, O Lahdenoja, T Vasankari, T Kiviniemi, ... 2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018 | 10 | 2018 |
| A miniaturized MEMS motion processing system for nuclear medicine imaging applications MJ Tadi, E Lehtonen, J Teuho, A Saraste, M Pänkäälä, M Teräs, ... 2016 Computing in Cardiology Conference (CinC), 133-136, 2016 | 9 | 2016 |
| Investigating the estimation of cardiac time intervals using gyrocardiography P Dehkordi, K Tavakolian, MJ Tadi, V Zakeri, F Khosrow-Khavar Physiological Measurement 41 (5), 055004, 2020 | 8 | 2020 |
| Reliability of self-applied smartphone mechanocardiography for atrial fibrillation detection S Mehrang, MJ Tadi, T Hurnanen, T Knuutila, O Lahdenoja, J Jaakkola, ... IEEE Access 7, 146801-146812, 2019 | 8 | 2019 |
Tero KoivistoProject manager, University of TurkuVerified email at utu.fi
