Follow
Antti Vehkaoja
Antti Vehkaoja
Tampere University
Verified email at tuni.fi
Title
Cited by
Cited by
Year
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
1502015
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
1352009
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
1062015
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
642015
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
612018
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
592011
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
592006
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
502012
Accuracy of heart rate variability estimated with reflective wrist-PPG in elderly vascular patients
C Hoog Antink, Y Mai, M Peltokangas, S Leonhardt, N Oksala, ...
Scientific reports 11 (1), 8123, 2021
442021
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
422013
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
352015
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
322020
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
312018
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
312017
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
292019
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, 21-31, 2017
292017
Facial muscle reanimation by transcutaneous electrical stimulation for peripheral facial nerve palsy
E Mäkelä, H Venesvirta, M Ilves, J Lylykangas, V Rantanen, T Ylä-Kotola, ...
Journal of medical engineering & technology 43 (3), 155-164, 2019
282019
Wearable wireless biopotential measurement device
A Vehkaoja, J Lekkala
The 26th Annual International Conference of the IEEE Engineering in Medicine …, 2004
282004
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, 13-22, 2018
272018
Dog behaviour classification with movement sensors placed on the harness and the collar
P Kumpulainen, AV Cardó, S Somppi, H Törnqvist, H Väätäjä, ...
Applied Animal Behaviour Science 241, 105393, 2021
262021
The system can't perform the operation now. Try again later.
Articles 1–20