Mikko Pänkäälä
Mikko Pänkäälä
Yliopistonlehtori, Turun yliopisto
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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), 6823, 2017
Atrial fibrillation detection via accelerometer and gyroscope of a smartphone
O Lahdenoja, T Hurnanen, Z Iftikhar, S Nieminen, T Knuutila, A Saraste, ...
IEEE Journal of Biomedical and Health Informatics 22 (1), 108-118, 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
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
Accelerometer‐based method for extracting respiratory and cardiac gating information for dual gating during nuclear medicine imaging
M Jafari Tadi, T Koivisto, M Pänkäälä, A Paasio
International journal of biomedical imaging 2014 (1), 690124, 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
Mobile phone detection of atrial fibrillation with mechanocardiography: the MODE-AF Study (Mobile Phone Detection of Atrial Fibrillation)
J Jaakkola, S Jaakkola, O Lahdenoja, T Hurnanen, T Koivisto, ...
Circulation 137 (14), 1524-1527, 2018
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
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
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
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
An instrument for measuring blood pressure and assessing cardiovascular health from the fingertip
T Panula, T Koivisto, M Pänkäälä, T Niiranen, I Kantola, M Kaisti
Biosensors and Bioelectronics 167, 112483, 2020
Beat-by-beat quantification of cardiac cycle events detected from three-dimensional precordial acceleration signals
M Paukkunen, P Parkkila, T Hurnanen, M Pänkäälä, T Koivisto, ...
IEEE journal of biomedical and health informatics 20 (2), 435-439, 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
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
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
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
Wearable pressure sensor array for health monitoring
M Kaisti, J Leppänen, O Lahdenoja, P Kostiainen, M Pankaaia, ...
2017 Computing in Cardiology (CinC), 1-4, 2017
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
Current source calibration by combination selection of minimum sized devices
J Maunu, M Pankaala, J Marku, J Poikonen, M Laiho, A Paasio
2006 IEEE International Symposium on Circuits and Systems (ISCAS), 4 pp.-552, 2006
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