| Wireless, multipurpose in-home health monitoring platform: two case trials S Junnila, H Kailanto, J Merilahti, AM Vainio, A Vehkaoja, M Zakrzewski, ... IEEE Transactions on Information Technology in Biomedicine 14 (2), 447-455, 2009 | 125 | 2009 |
| Comparison of HRV parameters derived from photoplethysmography and electrocardiography signals V Jeyhani, S Mahdiani, M Peltokangas, A Vehkaoja 2015 37th annual international conference of the ieee engineering in …, 2015 | 110 | 2015 |
| Is 50 Hz high enough ECG sampling frequency for accurate HRV analysis? S Mahdiani, V Jeyhani, M Peltokangas, A Vehkaoja 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 75 | 2015 |
| Photoplethysmography and its detailed pulse waveform analysis for arterial stiffness M Huotari, A Vehkaoja, K Määttä, J Kostamovaara Journal of Structural Mechanics 44 (4), 345-362, 2011 | 54 | 2011 |
| Wireless head cap for EOG and facial EMG measurements AT Vehkaoja, JA Verho, MM Puurtinen, NM Nojd, JO Lekkala, JA Hyttinen 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 5865-5868, 2006 | 53 | 2006 |
| Noncontact respiration monitoring during sleep with microwave Doppler radar M Zakrzewski, A Vehkaoja, AS Joutsen, KT Palovuori, JJ Vanhala IEEE Sensors Journal 15 (10), 5683-5693, 2015 | 50 | 2015 |
| Night-time EKG and HRV monitoring with bed sheet integrated textile electrodes M Peltokangas, J Verho, A Vehkaoja IEEE Transactions on Information Technology in Biomedicine 16 (5), 935-942, 2012 | 47 | 2012 |
| Monitoring of heart rate and inter-beat intervals with wrist plethysmography in patients with atrial fibrillation J Harju, A Tarniceriu, J Parak, A Vehkaoja, A Yli-Hankala, I Korhonen Physiological measurement 39 (6), 065007, 2018 | 42 | 2018 |
| Correlation approach for the detection of the heartbeat intervals using force sensors placed under the bed posts A Vehkaoja, S Rajala, P Kumpulainen, J Lekkala Journal of medical engineering & technology 37 (5), 327-333, 2013 | 36 | 2013 |
| Age dependence of arterial pulse wave parameters extracted from dynamic blood pressure and blood volume pulse waves M Peltokangas, A Vehkaoja, J Verho, VM Mattila, P Romsi, J Lekkala, ... IEEE journal of biomedical and health informatics 21 (1), 142-149, 2015 | 31 | 2015 |
| Wearable wireless biopotential measurement device A Vehkaoja, J Lekkala The 26th Annual International Conference of the IEEE Engineering in Medicine …, 2004 | 28 | 2004 |
| Acquiring respiration rate from photoplethysmographic signal by recursive bayesian tracking of intrinsic modes in time-frequency spectra M Pirhonen, M Peltokangas, A Vehkaoja Sensors 18 (6), 1693, 2018 | 24 | 2018 |
| Parameters extracted from arterial pulse waves as markers of atherosclerotic changes: performance and repeatability M Peltokangas, AA Telembeci, J Verho, VM Mattila, P Romsi, A Vehkaoja, ... IEEE journal of biomedical and health informatics 22 (3), 750-757, 2017 | 24 | 2017 |
| Comparison of simple algorithms for estimating respiration rate from electrical impedance pneumography signals in wearable devices V Jeyhani, T Vuorinen, M Mäntysalo, A Vehkaoja Health and Technology 7 (1), 21-31, 2017 | 24 | 2017 |
| PVDF microforce sensor for the measurement of Z-directional strength in paper fiber bonds P Saketi, SK Latifi, J Hirvonen, S Rajala, A Vehkaoja, T Salpavaara, ... Sensors and Actuators A: Physical 222, 194-203, 2015 | 23 | 2015 |
| Comparison of non-invasive blood pressure monitoring using modified arterial applanation tonometry with intra-arterial measurement J Harju, A Vehkaoja, P Kumpulainen, S Campadello, V Lindroos, ... Journal of clinical monitoring and computing 32 (1), 13-22, 2018 | 22 | 2018 |
| Monitoring arterial pulse waves with synchronous body sensor network M Peltokangas, A Vehkaoja, J Verho, M Huotari, J Röning, J Lekkala IEEE Journal of Biomedical and Health Informatics 18 (6), 1781-1787, 2014 | 22 | 2014 |
| Utilization of wireless sensor network for health monitoring in home environment M Zakrzewski, S Junnila, A Vehkaoja, H Kailanto, AM Vainio, I Defee, ... 2009 IEEE International Symposium on Industrial Embedded Systems, 132-135, 2009 | 22 | 2009 |
| Parkinson’s disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control study M Juutinen, C Wang, J Zhu, J Haladjian, J Ruokolainen, J Puustinen, ... Plos one 15 (7), e0236258, 2020 | 16 | 2020 |
| A fully printed ultra-thin charge amplifier for on-skin biosignal measurements MM Laurila, H Matsui, R Shiwaku, M Peltokangas, J Verho, KL Montero, ... IEEE Journal of the Electron Devices Society 7, 566-574, 2019 | 16 | 2019 |
Veikko SurakkaProfessori, Tampereen yliopistoVerified email at uta.fi
