| Evaluation of the accuracy and reliability for photoplethysmography based heart rate and beat-to-beat detection during daily activities J Pietilä, S Mehrang, J Tolonen, E Helander, H Jimison, M Pavel, ... EMBEC & NBC 2017: Joint Conference of the European Medical and Biological …, 2018 | 87 | 2018 |
| An Activity Recognition Framework Deploying the Random Forest Classifier and A Single Optical Heart Rate Monitoring and Triaxial Accelerometer Wrist-Band S Mehrang, J Pietilä, I Korhonen Sensors 18 (2), 613, 2018 | 75 | 2018 |
| Outlier detection in weight time series of connected scales S Mehrang, E Helander, M Pavel, A Chieh, I Korhonen 2015 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2015 | 36 | 2015 |
| Human activity recognition using a single optical heart rate monitoring wristband equipped with triaxial accelerometer S Mehrang, J Pietila, J Tolonen, E Helander, H Jimison, M Pavel, ... European Medical and Biological Engineering Confernce, 587-590, 2017 | 29 | 2017 |
| 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 | 27 | 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 | 25 | 2018 |
| Identification of motor symptoms related to Parkinson disease using motion-tracking sensors at home (KÄVELI): Protocol for an observational case-control study M Jauhiainen, J Puustinen, S Mehrang, J Ruokolainen, A Holm, ... JMIR research protocols 8 (3), e12808, 2019 | 20 | 2019 |
| Seasonal weight variation patterns in seven countries located in northern and southern hemispheres S Mehrang, E Helander, A Chieh, I Korhonen 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 17 | 2016 |
| 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 | 15 | 2018 |
| 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 | 12 | 2019 |
| Identification of Parkinson’s disease utilizing a single self-recorded 20-step walking test acquired by smartphone’s inertial measurement unit S Mehrang, M Jauhiainen, J Pietila, J Puustinen, J Ruokolainen, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 11 | 2018 |
| EMBEC & NBC 2017 J Pietilä, S Mehrang, J Tolonen, E Helander, H Jimison, M Pavel, ... Springer, 2017 | 8 | 2017 |
| End-to-end sensor fusion and classification of atrial fibrillation using deep neural networks and smartphone mechanocardiography S Mehrang, MJ Tadi, T Knuutila, J Jaakkola, S Jaakkola, T Kiviniemi, ... Physiological Measurement 43 (5), 055004, 2022 | 5 | 2022 |
| Natural Gradient Boosting Collision Detection in Robot Manipulators H Jafarian, M Zare, R Pieters, S Mehrang, A Visa Robotics: Science and Systems Workshop 2021, 2021 | | 2021 |
| Outlier Detection in Weight Time Series of Connected Scales: A Comparative Study S Mehrang | | 2016 |
| Identification of Motor Symptoms Related to Parkinson's Disease Using Motion Tracking Sensors at Home (KÃ VELI) M Jauhiainen, J Puustinen, S Mehrang, J Ruokolainen, A Holm, ... | | |
Ilkka KorhonenAdjunct Professor, Tampere UniversityVerified email at tuni.fi
