Follow
Olli Lahdenoja
Olli Lahdenoja
Ph.D., Senior Researcher at University of Turku and Research Scientist at Precordior Ltd.
Verified email at utu.fi
Title
Cited by
Cited by
Year
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
1152017
Reducing the feature vector length in local binary pattern based face recognition
O Lahdenoja, M Laiho, A Paasio
IEEE International Conference on Image Processing 2005 2, II-914, 2005
922005
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
402018
Towards understanding the formation of uniform local binary patterns
O Lahdenoja, J Poikonen, M Laiho
International Scholarly Research Notices 2013, 2013
402013
Multiclass classifier based cardiovascular condition detection using smartphone mechanocardiography
Z Iftikhar, O Lahdenoja, M Jafari Tadi, T Hurnanen, T Vasankari, ...
Scientific reports 8 (1), 1-14, 2018
362018
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
292018
A massively parallel algorithm for local binary pattern based face recognition
O Lahdenoja, J Maunu, M Laiho, A Paasio
2006 IEEE International Symposium on Circuits and Systems, 4 pp., 2006
262006
Dedicated hardware for parallel extraction of local binary pattern feature vectors
M Laiho, O Lahdenoja, A Paasio
2005 9th international workshop on cellular neural networks and their …, 2005
252005
Extracting local binary patterns with MIPA4k vision processor
O Lahdenoja, J Poikonen, M Laiho
2010 12th International Workshop on Cellular Nanoscale Networks and their …, 2010
212010
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
202017
Heart Rate Variability Estimation with Joint Accelerometer and Gyroscope Sensing
O Lahdenoja, T Hurnanen, MJ Tadi, M Pänkäälä, T Koivisto
Computing in Cardiology (CinC) 2016, 2016
202016
Local binary pattern feature vector extraction with CNN
O Lahdenoja, M Laiho, A Paasio
2005 9th International Workshop on Cellular Neural Networks and Their …, 2005
192005
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
182017
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
172018
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
152020
A massively parallel face recognition system
O Lahdenoja, M Laiho, J Maunu, A Paasio
EURASIP Journal on Embedded Systems 2007, 1-13, 2006
142006
Detection of atrial fibrillation with seismocardiography
M Pänkäälä, T Koivisto, O Lahdenoja, T Kiviniemi, A Saraste, T Vasankari, ...
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
132016
Online seam tracking for laser welding with a vision chip and FPGA enabled camera system
T Säntti, JK Poikonen, O Lahdenoja, M Laiho, A Paasio
2015 IEEE International Symposium on Circuits and Systems (ISCAS), 1985-1988, 2015
122015
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, ...
Computing in Cardiology (CinC), 2018
92018
Characterizing spatters in laser welding of thick steel using motion flow analysis
O Lahdenoja, T Säntti, J Poikonen, M Laiho, A Paasio
Scandinavian Conference on Image analysis, 675-686, 2013
92013
The system can't perform the operation now. Try again later.
Articles 1–20