Cardiac Publications
ECG
Bent B et al. Investigating sources of inaccuracy in wearable optical heart rate sensors.
npj Digit. Med, 2020, 3(18) https://www.nature.com/articles/s41746-020-0226-6
Vollmer M et al. Alignment of Multi-Sensored Data: Adjustment of Sampling Frequencies and Time Shifts.
Computing in Cardiology, 2019 https://ieeexplore.ieee.org/abstract/document/9005801
Kamp MR et al. Monitoring of the Respiratory Rate Recovery Time in Children with Asthma.
American Journal of Respiratory and Critical Care Medicine, 2019; 199:A7179
https://www.atsjournals.org/doi/abs/10.1164/ajrccm-conference.2019.199.1_MeetingAbstracts.A7179
Hartikainen S et al. Effectiveness of the Chest Strap Electrocardiogram to Detect Atrial Fibrillation.
The American Journal of Cardiology, 2019
https://erepo.uef.fi/bitstream/handle/123456789/7615/15579993181679890900.pdf?sequence=2&isAllowed=y
Rodrigues A et al. ECG-Based Monitoring of Electrolyte Fluctuations During the Long Interdialytic Interval.
Computing in Cardiology, 2018; Vol 45. http://diec.unizar.es/~laguna/personal/publicaciones/CinC2018-277-Vaidotas.pdf
Hostettler R et al. Motion Artifact Reduction in AmbulatoryElectrocardiography Using Inertial Measurement Units and Kalman Filtering.
In Proceedings of the 21st International Conference on Information Fusion, FUSION 2018
https://research.aalto.fi/files/29617909/2018_fusion_ecg.pdf
Harju J et al. Determination of saturation, heart rate, and respiratory rate at forearm using a Nellcor forehead SpO2-saturation sensor.
J Clin Monit Comput, 2017, 31 https://helda.helsinki.fi/bitstream/handle/10138/245625/10.1007_s10877_016_9940_7.pdf?sequence=1&isAllowed=y
Kaappa ES et al. Performance Analysis of Novel Flexible Electrodes for Wearable ECG/Heart Rate Monitoring.
EMBEC & NBC 2017, IFMBE Proceedings, vol 65. https://link.springer.com/chapter/10.1007/978-981-10-5122-7_60
Joutsen AS et al. Dry electrode sizes in recording ECG and heart rate in wearable applications.
EMBEC & NBC 2017, IFMBE Proceedings, vol 65. https://link.springer.com/chapter/10.1007/978-981-10-5122-7_184
Bodmer T et al. „QT-Life“: Prevention of adverse drug effects, in particular torsade de pointes-events, by pharmacy-based basic data collection.
25th Annual Meeting of the German Drug Utilisation Research Group. 2018. https://www.egms.de/static/en/meetings/gaa2018/18gaa01.shtml
Simjanoska M et al. Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques.
Sensors 2018, 18:1160, doi:10.3390/s18041160. https://www.mdpi.com/1424-8220/18/4/1160
Simjanoska M et al. ECG-derived Blood Pressure Classification using Complexity Analysis-based Machine Learning.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, 2018.
https://www.scitepress.org/Papers/2018/65382/65382.pdf
Chanel PCC et al. Online ECG-based Features for Cognitive Load Assessment.
2019 IEEE International Conference on Systems, Man and Cybernetics. 2019.
https://oatao.univ-toulouse.fr/24293/1/Ponzoni_24293.pdf
Vuorinen T et al. Validation of Printed, Skin‐Mounted Multilead Electrode for ECG Measurements. Advanced Materials Technologies 2019, 4:9, https://tutcris.tut.fi/portal/files/20887883/Validation_of_Printed_Skin_Mounted_Multi_Lead_Electrode_for_ECG_Measurements_preprint.pdf
Väliaho E-S et al. Wrist band photoplethysmography indetection of individual pulses in atrialfibrillation and algorithm-based detectionof atrial fibrillation. Europace 2019.
https://www.researchgate.net/profile/Helena_Jaentti/publication/335751150_Wrist_band_photoplethysmography_in_detection_of_individual_pulses_in_atrial_fibrillation_and_algorithmbased_detection_of_atrial_fibrillation/links/5e564768a6fdccbeba0320c9/Wrist-band-photoplethysmography-indetection-of-individual-pulses-in-atrial-fibrillation-and-algorithm-based-detection-of-atrial-fibrillation.pdf
Fontana P et al. Applicability of a Textile ECG-Belt for Unattended Sleep Apnoea Monitoring in a Home Setting
Sensors, 2019, 19:15 https://www.mdpi.com/1424-8220/19/15/3367
Lumikari TJ, Putaala J, Kerola A, et al. Continuous 4-week ECG monitoring with adhesive electrodes reveals AF in patients with recent embolic stroke of undetermined source.
Ann Noninvasive Electrocardiol. 2019;e12649 https://onlinelibrary.wiley.com/doi/full/10.1111/anec.12649
Automated Epileptic Seizure Detection Based on Wearable ECG and PPG in a Hospital Environment
Sensors 2017, 17(10), 2338 http://www.mdpi.com/1424-8220/17/10/2338/html
Postoperative Cardiac Ischemia Detection by Continuous 12-Lead Electrocardiographic Monitoring in Vascular Surgery Patients: A Prospective, Observational Study
Journal of Cardiothoracic and Vascular Anesthesia, June 2017, Volume 31, Issue 3, Pages 950–956
http://www.jcvaonline.com/article/S1053-0770(16)30435-9/abstract