Timo Leppänen

Orcid: 0000-0003-4017-821X

According to our database1, Timo Leppänen authored at least 23 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Acute Cardiorespiratory Coupling Impairment in Worsening Sleep Apnea-Related Intermittent Hypoxemia.
IEEE Trans. Biomed. Eng., January, 2024

Joint Use of a Low Thermal Resolution Thermal Camera and an RGB Camera for Respiration Measurement.
IEEE Trans. Instrum. Meas., 2024

2023
Obstructive Sleep Apnea Patients With Atrial Arrhythmias Suffer From Prolonged Recovery From Desaturations.
IEEE Trans. Biomed. Eng., July, 2023

A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep Staging and Respiratory Event Detection.
IEEE Trans. Biomed. Eng., May, 2023

Generalizable Deep Learning-Based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings.
IEEE J. Biomed. Health Informatics, April, 2023

aSAGA: Automatic Sleep Analysis with Gray Areas.
CoRR, 2023

Corrections to "An In-Laboratory Comparison of FocusBand EEG Device and Textile Electrodes Against a Medical-Grade System and Wet Gel Electrodes".
IEEE Access, 2023

Towards a Deeper Understanding of Sleep Stages through their Representation in the Latent Space of Variational Autoencoders.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Nasal Pressure Derived Airflow Limitation and Ventilation Measurements are Resilient to Reduced Signal Quality.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Gamma Power of Electroencephalogram Arousal Is Modulated by Respiratory Event Type and Severity in Obstructive Sleep Apnea.
IEEE Trans. Biomed. Eng., 2022

Editorial: Machine Learning and Wearable Technology in Sleep Medicine.
Frontiers Digit. Health, 2022

ABOSA - Freely available automatic blood oxygen saturation signal analysis software: Structure and validation.
Comput. Methods Programs Biomed., 2022

Deep Learning Enables Accurate Automatic Sleep Staging Based on Ambulatory Forehead EEG.
IEEE Access, 2022

Self-Applied Electrode Set Provides a Clinically Feasible Solution Enabling EEG Recording in Home Sleep Apnea Testing.
IEEE Access, 2022

2021
Automatic Respiratory Event Scoring in Obstructive Sleep Apnea Using a Long Short-Term Memory Neural Network.
IEEE J. Biomed. Health Informatics, 2021

Detailed Assessment of Sleep Architecture With Deep Learning and Shorter Epoch-to-Epoch Duration Reveals Sleep Fragmentation of Patients With Obstructive Sleep Apnea.
IEEE J. Biomed. Health Informatics, 2021

An In-Laboratory Comparison of FocusBand EEG Device and Textile Electrodes Against a Medical-Grade System and Wet Gel Electrodes.
IEEE Access, 2021

Technical Performance of Textile-Based Dry Forehead Electrodes Compared With Medical-Grade Overnight Home Sleep Recordings.
IEEE Access, 2021

Comparison of EEG Signal Characteristics Between Polysomnography and Self Applied Somnography Setup in a Pediatric Cohort.
IEEE Access, 2021

2020
Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea.
IEEE J. Biomed. Health Informatics, 2020

Effect of Sweating on Electrode-Skin Contact Impedances and Artifacts in EEG Recordings With Various Screen-Printed Ag/Agcl Electrodes.
IEEE Access, 2020

2019
Improved Sweat Artifact Tolerance of Screen-Printed EEG Electrodes by Material Selection-Comparison of Electrochemical Properties in Artificial Sweat.
IEEE Access, 2019

2015
Amount of weight loss or gain influences the severity of respiratory events in sleep apnea.
Medical Biol. Eng. Comput., 2015


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