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ORCIDJari A. K. Hyttinen
Jari Aarne Kalevi Hyttinen
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- affiliation: Tampere University, Institute of Biosciences and Medical Technology (BioMediTech), Finland
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Journal Articles
- 2022
[j29]Antti Paldanius
, Bachir Dekdouk, Jussi Toivanen, Ville Kolehmainen, Jari A. K. Hyttinen:
Sensitivity Analysis Highlights the Importance of Accurate Head Models for Electrical Impedance Tomography Monitoring of Intracerebral Hemorrhagic Stroke. IEEE Trans. Biomed. Eng. 69(4): 1491-1501 (2022)- [j28]Antti Paldanius, Bachir Dekdouk, Jussi Toivanen, Ville Kolehmainen, Jari A. K. Hyttinen:
Corrections to "Sensitivity Analysis Highlights the Importance of Accurate Head Models for Electrical Impedance Tomography Monitoring of Intracerebral Hemorrhagic Stroke". IEEE Trans. Biomed. Eng. 69(7): 2401 (2022) - 2021
- [j27]Werner Haselmayr, Jari A. K. Hyttinen, Maximilian Schäfer, Mauro Femminella, Richard J. Morris, Kerstin Lenk, Adam Noel, Michael Taynnan Barros:
Special Issue - Advances in Molecular Communications: Theory, Experiment, and Application. IEEE Trans. Mol. Biol. Multi Scale Commun. 7(2): 69-72 (2021) - [j26]Kerstin Lenk, Barbara Genocchi, Michael Taynnan Barros, Jari A. K. Hyttinen:
Larger Connection Radius Increases Hub Astrocyte Number in a 3-D Neuron-Astrocyte Network Model. IEEE Trans. Mol. Biol. Multi Scale Commun. 7(2): 83-88 (2021) - 2020
- [j25]Fikret E. Kapucu, Inkeri Välkki, Jarno E. Mikkonen, Chiara Leone, Kerstin Lenk, Jarno M. A. Tanskanen, Jari A. K. Hyttinen:
Corrigendum: Spectral Entropy Based Neuronal Network Synchronization Analysis Based on Microelectrode Array Measurements. Frontiers Comput. Neurosci. 14: 586506 (2020) - 2019
- [j24]Kerstin Lenk, Eero Satuvuori, Jules Lallouette, Antonio Ladrón-de-Guevara, Hugues Berry, Jari A. K. Hyttinen:
A Computational Model of Interactions Between Neuronal and Astrocytic Networks: The Role of Astrocytes in the Stability of the Neuronal Firing Rate. Frontiers Comput. Neurosci. 13: 92 (2019) - 2017
- [j23]Inkeri Välkki, Kerstin Lenk, Jarno E. Mikkonen, Fikret E. Kapucu, Jari A. K. Hyttinen:
Network-Wide Adaptive Burst Detection Depicts Neuronal Activity with Improved Accuracy. Frontiers Comput. Neurosci. 11: 40 (2017) - 2016
- [j22]Fikret E. Kapucu, Inkeri Välkki, Jarno E. Mikkonen, Chiara Leone, Kerstin Lenk, Jarno M. A. Tanskanen, Jari A. K. Hyttinen:
Spectral Entropy Based Neuronal Network Synchronization Analysis Based on Microelectrode Array Measurements. Frontiers Comput. Neurosci. 10: 112 (2016) - [j21]Loris Nanni, Alessandra Lumini, Florentino Luciano Caetano dos Santos, Michelangelo Paci, Jari A. K. Hyttinen:
Ensembles of dense and dense sampling descriptors for the HEp-2 cells classification problem. Pattern Recognit. Lett. 82: 28-35 (2016) - 2015
- [j20]Martti Juhola, Kirsi Penttinen, Henry Joutsijoki, Kirsi Varpa, Jyri Saarikoski, Jyrki Rasku, Harri Siirtola, Kati Iltanen, Jorma Laurikkala, Heikki Hyyrö, Jari A. K. Hyttinen, Katriina Aalto-Setälä:
Signal analysis and classification methods for the calcium transient data of stem cell-derived cardiomyocytes. Comput. Biol. Medicine 61: 1-7 (2015) - 2013
- [j19]Niina Onnela, Leena Lehtonen, Mikko Koski, Jari A. K. Hyttinen:
In vitro electroretinogram for the study of the functionality of differentiated retinal pigment epithelium cells. Medical Biol. Eng. Comput. 51(1-2): 61-70 (2013) - 2012
- [j18]Fikret E. Kapucu, Jarno M. A. Tanskanen, Jarno E. Mikkonen, Laura Ylä-Outinen, Susanna Narkilahti, Jari A. K. Hyttinen:
Burst analysis tool for developing neuronal networks exhibiting highly varying action potential dynamics. Frontiers Comput. Neurosci. 6: 38 (2012) - [j17]Niina Onnela, Virpi Savolainen, Kati Juuti-Uusitalo, Hanna Vaajasaari, Heli Skottman, Jari A. K. Hyttinen:
Electric impedance of human embryonic stem cell-derived retinal pigment epithelium. Medical Biol. Eng. Comput. 50(2): 107-116 (2012) - [j16]Javier Gracia, Ville-Pekka Seppä, Jari Viik, Jari A. K. Hyttinen:
Multilead Measurement System for the Time-Domain Analysis of Bioimpedance Magnitude. IEEE Trans. Biomed. Eng. 59(8): 2273-2280 (2012) - 2011
- [j15]Ville J. Kujala, Zaida C. Jimenez, Juho Väisänen, Jarno M. A. Tanskanen, Erja Kerkelä, Jari A. K. Hyttinen, Katriina Aalto-Setälä:
Averaging in vitro cardiac field potential recordings obtained with microelectrode arrays. Comput. Methods Programs Biomed. 104(2): 199-205 (2011) - [j14]Tomi Ryynänen, Ville J. Kujala, Laura Ylä-Outinen, Ismo Korhonen, Jarno M. A. Tanskanen, Pasi Kauppinen, Katriina Aalto-Setälä, Jari A. K. Hyttinen, Erja Kerkelä, Susanna Narkilahti, Jukka Lekkala:
All Titanium Microelectrode Array for Field Potential Measurements from Neurons and Cardiomyocytes - A Feasibility Study. Micromachines 2(4): 394-409 (2011) - 2010
- [j13]Katrina Wendel, Juho Väisänen, Gunnar Seemann, Jari A. K. Hyttinen, Jaakko Malmivuo:
The Influence of Age and Skull Conductivity on Surface and Subdermal Bipolar EEG Leads. Comput. Intell. Neurosci. 2010: 397272:1-397272:7 (2010) - [j12]Ville-Pekka Seppä, Jari Viik, Jari A. K. Hyttinen:
Assessment of Pulmonary Flow Using Impedance Pneumography. IEEE Trans. Biomed. Eng. 57(9): 2277-2285 (2010) - [j11]Sakari Junnila, Harri Kailanto, Juho Merilahti, Antti-Matti Vainio, Antti Vehkaoja, Mari Zakrzewski, Jari A. K. Hyttinen:
Wireless, multipurpose in-home health monitoring platform: two case trials. IEEE Trans. Inf. Technol. Biomed. 14(2): 447-455 (2010) - [j10]Timo Vuorela, Ville-Pekka Seppä, Jukka Vanhala, Jari A. K. Hyttinen:
Design and implementation of a portable long-term physiological signal recorder. IEEE Trans. Inf. Technol. Biomed. 14(3): 718-725 (2010) - 2009
- [j9]Merja Puurtinen, Jari Viik, Noriyuki Takano, Jaakko Malmivuo, Jari A. K. Hyttinen:
Estimating the measuring sensitivity of unipolar and bipolar ECG with lead field method and FDM models. Comput. Methods Programs Biomed. 94(2): 161-167 (2009) - [j8]Dogu Baran Aydogan, Markus Hannula, Tuukka Arola, Prasun Dastidar, Jari A. K. Hyttinen:
2D texture based classification, segmentation and 3D orientation estimation of tissues using DT-CWT feature extraction methods. Data Knowl. Eng. 68(12): 1383-1397 (2009) - 2008
- [j7]Juho Väisänen, Outi Väisänen, Jaakko Malmivuo, Jari A. K. Hyttinen:
New method for analysing sensitivity distributions of electroencephalography measurements. Medical Biol. Eng. Comput. 46(2): 101-108 (2008) - [j6]Juho Väisänen, Jaakko Malmivuo, Jari A. K. Hyttinen:
Correlation between signal-to-noise ratios and region of interest sensitivity ratios of bipolar EEG measurements. Medical Biol. Eng. Comput. 46(4): 381-389 (2008) - 2007
- [j5]Jarno Riistama, Juho Väisänen, Sami Heinisuo, Hanna Harjunpää, Satu Arra, Kati Kokko, Maunu Mäntylä, Jutta Kaihilahti, Pekka Heino, Minna Kellomäki, Outi Vainio, Jukka Vanhala, Jukka Lekkala, Jari A. K. Hyttinen:
Wireless and inductively powered implant for measuring electrocardiogram. Medical Biol. Eng. Comput. 45(12): 1163-1174 (2007) - 2006
- [j4]Juho Väisänen, Jari A. K. Hyttinen, Jaakko Malmivuo:
Finite difference and lead field methods in designing implantable ECG monitor. Medical Biol. Eng. Comput. 44(10): 857-864 (2006) - [j3]Outi R. M. Ryynänen, Jari A. K. Hyttinen, Jaakko Malmivuo:
Effect of measurement noise and electrode density on the spatial resolution of cortical potential distribution with different resistivity values for the skull. IEEE Trans. Biomed. Eng. 53(9): 1851-1858 (2006) - 2004
- [j2]Outi R. M. Ryynänen, Jari A. K. Hyttinen, Päivi H. Laarne, Jaakko Malmivuo:
Effect of electrode density and measurement noise on the spatial resolution of cortical potential distribution. IEEE Trans. Biomed. Eng. 51(9): 1547-1554 (2004) - 2000
- [j1]Päivi H. Laarne, Jari A. K. Hyttinen, Silke Dodel, Jaakko Malmivuo, Hannu Eskola:
Accuracy of Two Dipolar Inverse Algorithms Applying Reciprocity for Forward Calculation. Comput. Biomed. Res. 33(3): 172-185 (2000)
Conference and Workshop Papers
- 2023
- [c64]Mohamadamin Forouzandehmehr, Soudabeh Ghosi, Michelangelo Paci, Jari Aarne Kalevi Hyttinen, Jussi T. Koivumäki:
Mechanosensitive Channel Piezo1 in R403Q Hypertrophic Cardiomyopathy: A Computational Study. CinC 2023: 1-4 - 2022
- [c63]Antti Ahola, Birhanu Belay, Carolina Wählby, Jari A. K. Hyttinen:
Label-free Estimation of Sarcomere Orientation from Brightfield Microscopy Images of Induced Pluripotent Stem Cell Derived Cardiomyocyte Nuclei. CinC 2022: 1-4 - [c62]Mohamadamin Forouzandehmehr, Michelangelo Paci, Jussi T. Koivumäki, Jari A. K. Hyttinen:
Mutation-specific Hypertrophic Cardiomyopathy and Mavacamten: a Mechano-energetic In Silico Study. CinC 2022: 1-4 - [c61]Saara Haikka, Jari A. K. Hyttinen, Bachir Dekdouk:
Sensitivity Analysis of Circular and Helmet Coil Arrays in Magnetic Induction Tomography for Stroke Detection. EMBC 2022: 584-587 - [c60]Jonna Jokela, Anthony J. Peyton, Jari A. K. Hyttinen, Bachir Dekdouk:
A method for evaluating sensitivity of electromagnetic localization systems for wireless capsule endoscopes. EMBC 2022: 4872-4876 - 2021
- [c59]Antti Ahola, Jari A. K. Hyttinen:
Spatiotemporal Quantification of In Vitro Cardiomyocyte Contraction Dynamics Using Video Microscopy-based Software Tool. CinC 2021: 1-4 - [c58]Mohamadamin Forouzandehmehr, Chiara Bartolucci, Jari A. K. Hyttinen, Jussi T. Koivumäki, Michelangelo Paci:
Sensitivity of the Human Ventricular BPS2020 Action Potential Model to the In Silico Mechanisms of Ischemia. CinC 2021: 1-4 - [c57]Barbara Genocchi, Annika Ahtiainen, Michael Taynnan Barros, Jarno M. A. Tanskanen, Jari A. K. Hyttinen, Kerstin Lenk:
Astrocytic control in in vitro and simulated neuron-astrocyte networks. NANOCOM 2021: 21:1-21:7 - [c56]Jari A. K. Hyttinen, Barbara Genocchi, Annika Ahtiainen, Jarno M. A. Tanskanen, Kerstin Lenk, Michael Taynnan Barros:
Astrocytes in modulating subcellular, cellular and intercellular molecular neuronal communication. NANOCOM 2021: 22:1-22:6 - 2020
- [c55]Mohamadamin Forouzandehmehr, Nicolò Cogno, Jussi T. Koivumäki, Jari A. K. Hyttinen, Michelangelo Paci:
The Comparison Between Two Mathematical Contractile Elements Integrated into an hiPSC-CM In-silico Model. CinC 2020: 1-4 - [c54]Barbara Genocchi, André Cunha, Soumil Jain, Jari A. K. Hyttinen, Kerstin Lenk, Ada J. Ellingsrud:
Parametric exploration of cellular swelling in a computational model of cortical spreading depression. EMBC 2020: 2491-2495 - 2019
- [c53]Chiara Bartolucci, Michelangelo Paci, Jari A. K. Hyttinen, Elisa Passini, Stefano Severi:
Evolution of the Seminal O'Hara Rudy Model to More Accurately Simulate the Electrophysiology of Human Ventricular Cardiomyocytes. CinC 2019: 1-4 - [c52]Michelangelo Paci, Stefano Severi, Jari A. K. Hyttinen:
Automaticity in Cardiomyocytes Derived From Human Induced Pluripotent Stem Cells as Result of Different Mechanisms. CinC 2019: 1-4 - [c51]Aino Reunamo, Markus Hannula, Jari A. K. Hyttinen:
Augmenting Soft Tissue Contrast Using Edge-Enhancing Phase-Imaging Techniques in X-Ray Microtomography. EMBC 2019: 4867-4870 - [c50]Jarno M. A. Tanskanen, Annika Ahtiainen, Jari A. K. Hyttinen:
Extracellular Electrical Stimulation-based in Vitro Neuroscience: A Minireview of Methods and a Paradigm Shift Proposal. ICECS 2019: 883-886 - 2018
- [c49]Michelangelo Paci, Elisa Passini, Aleksandra Klimas, Stefano Severi, Jari A. K. Hyttinen, Blanca Rodríguez, Emilia Entcheva:
In Silico Populations Optimized on Optogenetic Recordings Predict Drug Effects in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes. CinC 2018: 1-4 - 2017
- [c48]Alan Fabbri, Michelangelo Paci, Jari A. K. Hyttinen, Ronald Wilders, Stefano Severi:
Effects of the Small Conductance Calcium-Activated Potassium Current (IsK) in Human Sinoatrial Node. CinC 2017 - [c47]Fikret E. Kapucu, Inkeri Välkki, François Christophe, Jarno M. A. Tanskanen, Julia Johansson, Tommi Mikkonen, Jari A. K. Hyttinen:
On electrophysiological signal complexity during biological neuronal network development and maturation. EMBC 2017: 3333-3338 - 2016
- [c46]Michelangelo Paci, Elisa Passini, Stefano Severi, Jari A. K. Hyttinen, Blanca Rodríguez:
A Population of In Silico Models to Face the Variability of Human Induced Pluripotent Stem Cell-derived Cardiomyocytes: the hERG Block Case Study. CinC 2016 - [c45]Fikret E. Kapucu, Jarno E. Mikkonen, Jarno M. A. Tanskanen, Jari A. K. Hyttinen:
Analyzing the feasibility of time correlated spectral entropy for the assessment of neuronal synchrony. EMBC 2016: 1595-1598 - [c44]Kerstin Lenk, Eero Raisanen, Jari A. K. Hyttinen:
Understanding the role of astrocytic GABA in simulated neural networks. EMBC 2016: 6121-6124 - [c43]Jarno M. A. Tanskanen, Fikret E. Kapucu, Inkeri Vornanen, Jari A. K. Hyttinen:
Automatic objective thresholding to detect neuronal action potentials. EUSIPCO 2016: 662-666 - 2015
- [c42]Michelangelo Paci, Jari A. K. Hyttinen, Stefano Severi:
Quantification of the Ionic Current Contributions to Alterations in the Action Potential Repolarization by means of Piecewise-Linear Approximation. CinC 2015: 145-148 - [c41]Fikret E. Kapucu, Jarno M. A. Tanskanen, Yuting Yuan, Jari A. K. Hyttinen:
A fast stimulability screening protocol for neuronal cultures on microelectrode arrays. EMBC 2015: 3440-3443 - [c40]Leena Jaatinen, János Vörös, Jari A. K. Hyttinen:
Controlling cell migration and adhesion into a scaffold by external electric currents. EMBC 2015: 3549-3552 - [c39]Fikret E. Kapucu, Jarno E. Mikkonen, Jarno M. A. Tanskanen, Jari A. K. Hyttinen:
Quantification and automatized adaptive detection of in vivo and in vitro neuronal bursts based on signal complexity. EMBC 2015: 4729-4732 - [c38]Narayan Puthanmadam Subramaniyam, Jari A. K. Hyttinen, Nicholas G. Hatsopoulos, Callum F. Ross, Kazutaka Takahashi:
Recurrence network analysis of multiple local field potential bands from the orofacial portion of primary motor cortex. EMBC 2015: 5343-5346 - [c37]Narayan Puthanmadam Subramaniyam, Jari A. K. Hyttinen, Nicholas G. Hatsopoulos, Kazutaka Takahashi:
Recurrence network analysis of wide band oscillations of local field potentials from the primary motor cortex reveals rich dynamics. NER 2015: 960-963 - [c36]Jarno M. A. Tanskanen, Fikret E. Kapucu, Jari A. K. Hyttinen:
On the threshold based neuronal spike detection, and an objective criterion for setting the threshold. NER 2015: 1016-1019 - 2014
- [c35]Henry Joutsijoki, Jyrki Rasku, Markus Haponen, Ivan Baldin, Yulia Gizatdinova, Michelangelo Paci, Jyri Saarikoski, Kirsi Varpa, Harri Siirtola, Jorge Avalos-Salguero, Kati Iltanen, Jorma Laurikkala, Kirsi Penttinen, Jari A. K. Hyttinen, Katriina Aalto-Setälä, Martti Juhola:
Classification of iPSC colony images using hierarchical strategies with support vector machines. CIDM 2014: 86-92 - [c34]Michelangelo Paci, Stefano Severi, Jari A. K. Hyttinen:
Computational Modeling Supports Induced Pluripotent Stem Cell-derived Cardiomyocytes Reliability as a Model for Human LQT3. CinC 2014: 69-72 - [c33]Antti Ahola, Paruthi Pradhapan, Eeva Laurila, Katriina Aalto-Setälä, Jari A. K. Hyttinen:
Motion Analysis Method for Determining Cardiomyocyte Beating Properties Based on Digital Image Correlation and Templates. CinC 2014: 1137-1140 - [c32]Markus Hannula, Nathaniel G. Narra, Niina Onnela, Prasun Dastidar, Jari A. K. Hyttinen:
A multi-tissue segmentation of the human head for detailed computational models. EMBC 2014: 2484-2487 - [c31]Yulia Gizatdinova, Jyrki Rasku, Markus Haponen, Henry Joutsijoki, Ivan Baldin, Michelangelo Paci, Jari A. K. Hyttinen, Katriina Aalto-Setälä, Martti Juhola:
Investigating local spatially-enhanced structural and textural descriptors for classification of iPSC colony images. EMBC 2014: 3361-3365 - [c30]Loris Nanni, Michelangelo Paci, Florentino Luciano Caetano dos Santos, Jari A. K. Hyttinen:
Morphological and Texture Features for HEp-2 Cells Classification. I3A@ICPR 2014: 45-48 - [c29]Loris Nanni, Michelangelo Paci, Florentino Luciano Caetano dos Santos, Sheryl Brahnam, Jari A. K. Hyttinen:
Analysis of Virus Textures in Transmission Electron Microscopy Images. InMed 2014: 83-91 - [c28]Henry Joutsijoki, Markus Haponen, Ivan Baldin, Jyrki Rasku, Yulia Gizatdinova, Michelangelo Paci, Jari A. K. Hyttinen, Katriina Aalto-Setälä, Martti Juhola:
Histogram-based classification of iPSC colony images using machine learning methods. SMC 2014: 2611-2617 - 2013
- [c27]Michelangelo Paci, Jari A. K. Hyttinen, Stefano Severi:
Computational Modelling of LQT1 in Human Induced Pluripotent Stem Cell Derived Cardiomyocytes. CinC 2013: 1239-1242 - [c26]Niina Onnela, Virpi Savolainen, Maiju Hiltunen, Minna Kellomäki, Jari A. K. Hyttinen:
Impedance spectra of polypyrrole coated platinum electrodes. EMBC 2013: 539-542 - [c25]Dogu Baran Aydogan, Jari A. K. Hyttinen:
Contour tree connectivity of binary images from algebraic graph theory. ICIP 2013: 3054-3058 - [c24]Dogu Baran Aydogan, Niko Moritz, Hannu T. Aro, Jari A. K. Hyttinen:
Analysis of Trabecular Bone Microstructure Using Contour Tree Connectivity. MICCAI (2) 2013: 428-435 - [c23]Ashkan Bonabi, Dogu Baran Aydogan, Jari A. K. Hyttinen:
Simulation of Microporous Architecture's Effects on Fluid Flow Characteristics in Cell Seeding. UKSim 2013: 84-89 - 2012
- [c22]Jarno M. A. Tanskanen, Xiao Zhi Gao, Jing Wang, Ping Guo, Jari A. K. Hyttinen, Vassil S. Dimitrov:
Experimental Comparison of Geometric, Arithmetic and Harmonic Means for EEG Event Related Potential Detection. CIS 2012: 112-116 - [c21]Dogu Baran Aydogan, Jari A. K. Hyttinen:
Binary image representation by contour trees. Medical Imaging: Image Processing 2012: 83142X - 2011
- [c20]Markus Hannula, Adeola Olubamiji, Iivari Kunttu, Prasun Dastidar, Seppo Soimakallio, Juha Öhman, Jari A. K. Hyttinen:
Image-based segmentation for characterization and quantitative analysis of the spinal cord injuries by using diffusion patterns. Image Processing: Algorithms and Systems 2011: 78700D - 2009
- [c19]Philip Kuryloski, Annarita Giani, Roberta Giannantonio, Katherine Gilani, Raffaele Gravina, Ville-Pekka Seppä, Edmund Y. W. Seto, Victor Shia, Curtis Wang, Posu Yan, Allen Y. Yang, Jari A. K. Hyttinen, Shankar Sastry, Stephen B. Wicker, Ruzena Bajcsy:
DexterNet: An Open Platform for Heterogeneous Body Sensor Networks and its Applications. BSN 2009: 92-97 - [c18]Roberta Giannantonio, Raffaele Gravina, Philip Kuryloski, Ville-Pekka Seppä, Fabio Bellifemine, Jari A. K. Hyttinen, Marco Sgroi:
Performance analysis of an activity monitoring system using the SPINE framework. PervasiveHealth 2009: 1-8 - [c17]Mari Zakrzewski, Sakari Junnila, Antti Vehkaoja, Harri Kailanto, Antti-Matti Vainio, Irek Defée, Jukka Lekkala, Jukka Vanhala, Jari A. K. Hyttinen:
Utilization of wireless sensor network for health monitoring in home environment. SIES 2009: 132-135 - 2008
- [c16]Niina Nöjd, Jari A. K. Hyttinen:
Modeling of EOG and electrode position optimization for human-computer interface. BODYNETS 2008: 23 - [c15]Dogu Baran Aydogan, Markus Hannula, Tuukka Arola, Prasun Dastidar, Jari A. K. Hyttinen:
Texture Based Classification and Segmentation of Tissues Using DT-CWT Feature Extraction Methods. CBMS 2008: 614-619 - [c14]Harri Kailanto, Esko Hyvärinen, Jari A. K. Hyttinen:
Mobile ECG measurement and analysis system using mobile phone as the base station. PervasiveHealth 2008: 12-14 - [c13]Timo Vuorela, Jukka Vanhala, Ville-Pekka Seppä, Jari A. K. Hyttinen:
Two portable long-term measurement devices for ECG and bioimpedance. PervasiveHealth 2008: 169-172 - [c12]Juho Merilahti, Mark J. van Gils, Tuula Petäkoski-Hult, Outi Kenttä, Esko Hyvärinen, Jari A. K. Hyttinen, Harri Kailanto:
ECG monitoring of cardiac patients at home: experiences with scenarios and signal processing methods. PervasiveHealth 2008: 281-284 - [c11]Niina Nöjd, Markus Hannula, Jari A. K. Hyttinen:
Electrode position optimization for facial EMG measurements for human-computer interface. PervasiveHealth 2008: 319-322 - 2007
- [c10]Juho Väisänen, Jesús Requena-Carrión, Felipe Alonso Atienza, Jari A. K. Hyttinen, José Luis Rojo-Álvarez, Jaakko Malmivuo:
Contributions of the 12 Segments of Left Ventricular Myocardium to the Body Surface Potentials. FIMH 2007: 300-309 - [c9]Jesús Requena-Carrión, Juho Väisänen, José Luis Rojo-Álvarez, Jari A. K. Hyttinen, Felipe Alonso Atienza, Jaakko Malmivuo:
Numerical Analysis of the Resolution of Surface Electrocardiographic Lead Systems. FIMH 2007: 310-319 - 2006
- [c8]Jarno M. A. Tanskanen, Jarno E. Mikkonen, Jari A. K. Hyttinen, Markku Penttonen:
Observing Frequency Content Time Evolution of Independent Hippocampal Signals. EMBC 2006: 727-730 - [c7]Juho Väisänen, Outi R. M. Ryynänen, Jari A. K. Hyttinen, Jaakko Malmivuo:
Analysing Specificity of a Bipolar EEG Measurement. EMBC 2006: 1102-1105 - [c6]Outi R. M. Ryynänen, Juho Väisänen, Jari A. K. Hyttinen, Jaakko Malmivuo:
Effect of Source Depth on the Specificity of Bipolar EEG Measurements. EMBC 2006: 1110-1113 - [c5]Paolo Bruno, Jari A. K. Hyttinen, Paolo Inchingolo, Alberto Magrofuoco, Stefano Mininel, Federica Vatta:
A FDM anisotropic formulation for EEG simulation. EMBC 2006: 1121-1125 - [c4]Tuukka Arola, Markus Hannula, Nathaniel G. Narra, Jaakko Malmivuo, Jari A. K. Hyttinen:
Software Suite for Finite Difference Method Models. EMBC 2006: 1649-1652 - [c3]Jarno M. A. Tanskanen, Jari Viik, Jari A. K. Hyttinen:
Independent Component Analysis of Parameterized ECG Signals. EMBC 2006: 5704-5707 - [c2]Merja Puurtinen, Satu M. Komulainen, Pasi K. Kauppinen, Jaakko Malmivuo, Jari A. K. Hyttinen:
Measurement of noise and impedance of dry and wet textile electrodes, and textile electrodes with hydrogel. EMBC 2006: 6012-6015 - 2000
- [c1]Pasi K. Kauppinen, Tiit Kööbi, Jari A. K. Hyttinen, Seppo Kaukinen, Jaakko Malmivuo:
Signal fidelity requirements in determining measures of cardiac function - Advancing to multichannel impedance cardiography. EUSIPCO 2000: 1-4
Parts in Books or Collections
- 2015
- [p1]Ville-Pekka Seppä, Jari A. K. Hyttinen, Jari Viik:
Impedance pneumography for ambulatory assessment of obstructive respiratory diseases. Recent Advances in Ambient Assisted Living 2015: 45-62
Informal and Other Publications
- 2020
- [i1]Michael Taynnan Barros, Harun Siljak, Peter Mullen, Constantinos B. Papadias, Jari A. K. Hyttinen, Nicola Marchetti:
Objective Multi-variable Classification and Inference of Biological Neuronal Networks. CoRR abs/2003.12670 (2020)
Coauthor Index
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last updated on 2024-04-25 02:32 CEST by the dblp team
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