Mirja Tenhunen

Orcid: 0000-0003-0202-8392

According to our database1, Mirja Tenhunen authored at least 15 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2022
Multi-Scale Evaluation of Sleep Quality Based on Motion Signal from Unobtrusive Device.
Sensors, 2022

Heart Pulse Demodulation from Emfit Mattress Sensor Using Spectral and Source Separation Techniques.
Proceedings of the Computing in Cardiology, 2022

2019
Non-Linear Heart Rate Variability Measures in Sleep Stage Analysis with Photoplethysmography.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Detection of Snores Using Source Separation on an Emfit Signal.
IEEE J. Biomed. Health Informatics, 2018

2017
Assessment of support vector machines and convolutional neural networks to detect snoring using Emfit mattress.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2015
Improvement of Force-Sensor-Based Heart Rate Estimation Using Multichannel Data Fusion.
IEEE J. Biomed. Health Informatics, 2015

Evaluation of Pressure Bed Sensor for Automatic SAHS Screening.
IEEE Trans. Instrum. Meas., 2015

The addition of entropy-based regularity parameters improves sleep stage classification based on heart rate variability.
Medical Biol. Eng. Comput., 2015

2013
Detection of sleep-disordered breating with Pressure Bed Sensor.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Sleep-wake detection based on respiratory signal acquired through a Pressure Bed Sensor.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Identification of Deep Sleep and Awake with Computational EEG Measures.
J. Medical Syst., 2011

2009
New tracheal sound feature for apnoea analysis.
Medical Biol. Eng. Comput., 2009

Improved computational fronto-central sleep depth parameters show differences between apnea patients and control subjects.
Medical Biol. Eng. Comput., 2009

Intelligent methods for identifying respiratory cycle phases from tracheal sound signal during sleep.
Comput. Biol. Medicine, 2009

2008
Detection of compressed tracheal sound patterns with large amplitude variation during sleep.
Medical Biol. Eng. Comput., 2008


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