Tomi Laitinen

According to our database, Tomi Laitinen authored at least 8 papers between 2006 and 2014.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2014

Relation of arterial stiffness and axial motion of the carotid artery wall - A pilot study to test our motion tracking algorithm in practice.

Heikki Yli-Ollila, Tomi Laitinen, Matti Weckström, Mika P. Tarvainen, Tiina Laitinen

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2012

Estimation of arterial baroreflex sensitivity in relation to carotid artery stiffness.

Jukka Antero Lipponen, Mika P. Tarvainen, Tomi Laitinen, Pasi A. Karjalainen, Joonas Vanninen, Timo Koponen, Tiina Lyyra-Laitinen

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Hypoglycemia detection based on cardiac repolarization features.

Jukka Antero Lipponen, Jukka Kemppainen, Pasi A. Karjalainen, Tomi Laitinen, H. Mikola, T. Kärki, Mika P. Tarvainen

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Continuous Analysis of Repolarization Characteristics during Insulin Induced Hypoglycemia.

Jukka Antero Lipponen, Pasi A. Karjalainen, Mika P. Tarvainen, Jukka Kemppainen, H. Mikkola, T. Kärki, Tomi Laitinen

Proceedings of the BIOSIGNALS 2011, 2011

2010

A Principal Component Regression Approach for Estimation of Ventricular Repolarization Characteristics.

Jukka Antero Lipponen, Mika P. Tarvainen, Tomi Laitinen, Tiina Lyyra-Laitinen, Pasi A. Karjalainen

IEEE Trans. Biomed. Eng., 2010

2008

Comparison between artificial neural network and multilinear regression models in an evaluation of cognitive workload in a flight simulator.

Manne Hannula, Kerttu Huttunen, Jukka Koskelo, Tomi Laitinen, Tuomo Leino

Comput. Biol. Medicine, 2008

2007

A Principal Component Regression Approach for Estimating Ventricular Repolarization Duration Variability.

Mika P. Tarvainen, Tomi Laitinen, Tiina Lyyra-Laitinen, Juha-Pekka Niskanen, Pasi A. Karjalainen

EURASIP J. Adv. Signal Process., 2007

2006

Noise Sensitivity of a Principal Component Regression Based RT Interval Variability Estimation Method.

Mika P. Tarvainen, Juha-Pekka Niskanen, Pasi A. Karjalainen, Tomi Laitinen, Tiina Lyyra-Laitinen

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006