Publications
Bittium’s medical technology in scientific publications.
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
HR & HRV
Nemcova A and Vitek M. Application of SWT for heart rate monitoring using smartphone camera.
IEEE Student Branch Conference Mikulov, 2017.
https://www.researchgate.net/profile/Andrea_Nemcova3/publication/319392392_Application_of_SWT_for_Heart_Rate_Monitoring_Using_Smartphone_Camera/links/5ad5ab020f7e9b285936e01a/Application-of-SWT-forHeart-Rate-Monitoring-Using-Smartphone-Camera.pdf
Nemcova A et al. Monitoring of heart rate, blood oxygen saturation, and blood pressure using a smartphone.
Biomedical Signal Processing and Control, 59, 2020.
https://www.sciencedirect.com/science/article/abs/pii/S1746809420300847
Eggenberger P et al. Prediction of Core Body Temperature Based on Skin Temperature, Heat Flux, and Heart Rate Under Different Exercise and Clothing Conditions in the Heat in Young Adult Males. Frontiers in Physiology. 2018.
https://www.frontiersin.org/articles/10.3389/fphys.2018.01780/full
Garcia-Gancedo L et al. Objectively monitoring amyotrophic lateral sclerosis patient symptoms during clinical trials with sensors: observational study.
Jmir Mhealth Uhealth 2019, 7(12):e13433 https://pubmed.ncbi.nlm.nih.gov/31859676/
Khan AA et al. Heart rate variability in patients with atrial fibrillation and hypertension.
European Journal of Clinical Investigation. 2020. https://onlinelibrary.wiley.com/doi/abs/10.1111/eci.13361
Kinnunen HO et al. Feasible assessment of recovery and cardiovascular health: accuracy of nocturnal HR and HRV assessed via ring PPG in comparison to medical grade ECG. Physiol. Meas. 2020. https://iopscience.iop.org/article/10.1088/1361-6579/ab840a/pdf
Kinnunen HO and Koskimäki H. The HRV of the ring – comparison of nocturnal HR and HRV between a commercially available wearable ring and ECG.
2018. SLEEP, Volume 41, Abstract Supplement. https://search.proquest.com/openview/9a5ad904b8f4ea77feae82d1c9809aba/1?pqorigsite=gscholar&cbl=2046369
Pakarinen S et al. Modeling the cardiac indices of stress and performance of nuclear power plant operators during simulated fault scenarios.
Psychophysiology, 57, 2020. https://onlinelibrary.wiley.com/doi/abs/10.1111/psyp.13513
Laarni J et al. Promoting Soldier Cognitive Readiness for Battle Tank Operations Through Bio-signal Measurements.
International Conference on Applied Human Factors and Ergonomics. Advances in Intelligent Systems and Computing, vol 953, 2019.
https://link.springer.com/chapter/10.1007/978-3-030-20473-0_15
Oliveira V et al. Early Postnatal Heart Rate Variability in Healthy Newborn Infants.
Frontiers in Physiology. 2019. https://www.frontiersin.org/articles/10.3389/fphys.2019.00922/full
Laborde S et al. The influence of power posing on cardiac vagal activity.
Acta Psychologica, 199, 2019. https://www.sciencedirect.com/science/article/abs/pii/S000169181830412
Deussing K et al. Reproducibility of Heart Rate Variability Revealed by Repeated Measurements during and after Hemodialysis.
Blood Purification. 2019. https://www.karger.com/Article/Abstract/504525
Vescio B et al. Comparison between Electrocardiographic and Earlobe Pulse Photoplethysmographic Detection for Evaluating Heart Rate Variability in Healthy Subjects in Short- and Long-Term Recordings.
Sensors 2018. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877367/
Cliff DP et al. The Preschool Activity, Technology, Health, Adiposity, Behaviour and Cognition (PATH-ABC) cohort study: rationale and design.
BMC Pediatr. 2017, 17:95, doi:10.1186/s12887-017-0846-4. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379769/
Gruden T et al. Assessing Drivers’ Physiological Responses Using Consumer Grade Devices.
Appl. Sci. 2019, 9. https://www.mdpi.com/2076-3417/9/24/5353
Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning,
Data Analysis, and Data Reporting (Front Psychol. 2017; 8: 213.) https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5316555/
Evaluation and refinement of a methodology for examining the effects of aircraft noise on sleep in communities in the US
Proceedings of Inter-Noise 2016, Hamburg, Germany, August 21-24, 2016
http://pub.dega-akustik.de/IN2016/data/articles/000901.pdf
https://pdfs.semanticscholar.org/d296/de41288eaf284406f11b08d5571b60f1be01.pdf
Leinikka M et al. Physiological measurements of drawing and forming activities.
Design Research Society 50th Anniversary Conference 2016. https://helda.helsinki.fi/bitstream/handle/10138/232751/335_Leinikka.pdf?sequence=1&isAllowed=y
Cardiac sympathetic index identifies patients with Parkinson’s disease and REM behavior disorder
Parkinsonism & Related Disorders, Volume 26, May 2016, Pages 62-66
http://www.sciencedirect.com/science/article/pii/S135380201630058X
Adaptive Methods for Managing Heterogeneity in Smart Spaces
IoT360 2015: Internet of Things. IoT Infrastructures pp 344-348
https://link.springer.com/chapter/10.1007/978-3-319-47075-7_39
Cognitive Collaboration Found in Cardiac Physiology: Study in Classroom Environment
PLoS ONE 11(7)
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0159178
Ahonen L et al. Biosignals reflect pair-dynamics in collaborative work: EDA and ECG study of pairprogramming in a classroom environment.
Nature Scientific Reports. 2018. https://www.nature.com/articles/s41598-018-21518-3
Pilot study examining the effects of aircraft noise on sleep in communities near Philadelphia International Airport
12th ICBEN Congress on Noise as a Public Health Problem
http://www.icben.org/2017/ICBEN 2017 Papers/SubjectArea05_Basner_0506_3957.pdf
Evaluation and Refinement of a Methodology for Examining the Effects of Aircraft Noise on Sleep in Communities in the US
INTER-NOISE and NOISE-CON Congress and Conference Proceedings, InterNoise16, Hamburg GERMANY, pages 5848-6840, pp. 6353-6357(5)
http://www.ingentaconnect.com/contentone/ince/incecp/2016/00000253/00000002/art00063
A Yellow-Orange Wavelength-Based Short-Term Heart Rate Variability Measurement Scheme for WristBased Wearables
IEEE Transactions on Instrumentation and Measurement, Issue: 99
http://ieeexplore.ieee.org/abstract/document/8253824/
Heart rate variability in psycho-social stress: Comparison between laboratory and real-life setting
Activitas Nervosa Superior Rediviva Volume 58 No. 3 2016 http://www.rediviva.sav.sk/58i3/77.pdf
Increased Heart Rate Variability in Allergic and Highly Trait Anxious Individuals
Journal of Pharmacy and Pharmacology 5 (2017) 46-56
http://www.davidpublisher.org/Public/uploads/Contribute/58636f2c5b761.pdf
Effects of Tibetan music on neuroendocrine and autonomic functions in patients waiting for surgery: a randomized, controlled study.
Anesthesiology Research and Practice, 2018 https://www.hindawi.com/journals/arp/aip/9683780
How to prevent mind-wandering during an EVA? Presentation of a mind-wandering detection method using ECG technology in a Mars-analog environment. Acta Astronautica, Volume 140, November 2017, Pages 105-112
https://www.sciencedirect.com/science/article/pii/S009457651631356X
The contribution of coping related variables and cardiac vagal activity on the performance of a dart throwing task under pressure
Physiology & Behavior, Volume 179, 1 October 2017, Pages 116-125
Other
Miettinen T et al. Success Rate and Technical Quality of Home Polysomnography with Self-Applicable Electrode Set in Subjects with Possible Sleep Bruxism. IEEE J. Biomed. Health Inform. 2017, 22:4, doi:10.1109/JBHI.2017.2741522.
https://ieeexplore.ieee.org/document/8013026
Vandecasteele K et al. Artifact Detection of Wrist Photoplethysmograph Signals.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, 2018, vol 4.
https://www.scitepress.org/Papers/2018/65943/65943.pdf
Paliakaite B et al. Atrial fibrillation frequency tracking in ambulatory ECG signals: The significance of signal quality assessment.
Computerns in Biology and Medicine. 2018, 102.
https://www.sciencedirect.com/science/article/abs/pii/S0010482518302543
Rampichini S et al. Impaired heart rate recovery after sub-maximal physical exercise in people with multiple sclerosis.
Multiple Sclerosis and Related Disorders. 40, 2020.
https://www.sciencedirect.com/science/article/abs/pii/S2211034820300365
Neuroscientific Research
Brain state-dependent brain stimulation with real-time electroencephalography-triggered transcranial magnetic stimulation. Maria-Ioanna Stefanou et al. Journal of Visualized Experiments, 2019.
Synchronizing the transcranial magnetic pulse with electroencephalographic recordings effectively reduces inter-trial variability of the pulse artefact. Leo Tomasevic et al. PLoS ONE, 2017.
Prefrontal Theta-Phase Synchronized Brain Stimulation With Real-Time EEG-Triggered TMS P. C. Gordon, S.Dörre, P. Belardinelli, M. Stenroos, B. Zrenner, U. Ziemann and C. Zrenner Front. Hum. Neurosci. 15:691821
Sleep-dependent upscaled excitability and saturated neuroplasticity in the human brain: From brain physiology to cognition M. A. Salehinejad, E. Ghanavati, J. Reinders, J. G. Hengstler, M.-F. Kuo, M. A. Nitsche bioRxiv 2021.04.28.441823; doi:
Voluntary motor commands are preferentially released during restricted sensorimotor beta rhythm phases S. J. Hussain, M. K. Vollmer, I. Iturrate, R. Quentin bioRxiv 776393; doi:
A set of electroencephalographic (EEG) data recorded during amplitude-modulated transcranial alternating current stimulation (AM-tACS) targeting 10-Hz steady-state visually evoked potentials (SSVEP) D. Haslacher, K. Nasr, S. E. Robinson, C. Braun, S. R. Soekadar Data in Brief 36 (2021) 107011
Decreased intersubject synchrony in dynamic valence ratings of sad movie contents in dysphoric individuals X. Li, Y. Zhu, E. Vuoriainen, C. Ye, P. Astikainen Scientific Reports (2021) 11:14419
Cardiac Activity Impacts Cortical Motor Excitability E. Al, T. Stephani, M. Engelhardt, A. Villringer, V. Nikulin Research Square 2021
Phase-dependent offline enhancement of human motor memory S. J. Hussain, M. K. Vollmer, J. Stimely, G. Norato, C. Zrenner, U. Ziemann, E. R. Buch, L. G. Cohen BrainStimulation 14(4) 2021