Homepage of Marcus Vollmer
Biostatistician
Scientific employee at the Institute of Bioinformatics
Scientific employee at the Coordination Center of Clinical Studies
Speaker of the Young DZHK Greifswald
Publications
Vollmer M, Kuthning D, Gramenz J, Scholz A, Michael R, Wittwann N, Gesser U, Niesytto C, Vogler A, Tuxhorn V, Lenschow U, Lange A, Linnemann K, Lode H, Kaderali L, Meyer-Bahlburg A (2024)
Seroprevalence and silent infection rate during SARS-CoV-2 pandemic among children and adolescents in Western Pomerania: A multicenter, cross-sectional study — The COVIDKID study
PeerJ Life, 2024; accepted
Blöcher J, Meyer M, Morof F, Rönnpagel V, Bethmann J, Vollmer M, Engeli S, Tzvetkkov M (2024)
Sex‐Dependent Effects of CYP2D6 on the Pharmacokinetics of Berberine in Humans
Clinical Pharmacology & Therapeutics, 2024; accepted
Greiser S, Fleck S, Rathmann E, Vollmer M, Schroeder HWS (2024)
The role of MRI biomarkers in evaluation of symptomatic pineal cysts – a retrospective analysis
Acta Neurochirurgica, 2024; 166:323; DOI:10.1007/s00701-024-06212-w
Gebhardt S, Vollmer M, Zimmerer A, Rochel I, Balcarek P, Niemeyer P, Wassilew GI (2024)
Factors affecting choice of surgical treatment of cartilage lesions of the knee – an analysis of data from 5143 patients from the German Cartilage Registry (Knorpelregister DGOU)
The Orthopaedic Journal of Sports Medicine, 2024; 12(7):23259671241255672; DOI:10.1177/23259671241255672
Pötter LA, Vollmer M, Santamaria RM, Splieth CH, Schmoeckel J (2024)
Performance of restorations in primary molars over a seven-year period
Journal of Dentistry, 2024; 105121; DOI:10.1016/j.jdent.2024.105121
Fuchs C, Scheer CS, Wauschkuhn S, Vollmer M, Meissner K, Hahnenkamp K, Gründling M, Selleng S, Thiele T, Borgstedt R, Kuhn S-O, Rehberg S, Scholz SS (2024)
Continuation of chronic antiplatelet therapy is not associated with increased need for transfusions: a cohort study in critically ill septic patients
BMC Anesthesiology, 2024; 24(1):146; DOI:10.1186/s12871-024-02516-7
Gil O, Fenske B, Bremert T, Vollmer M, Scharf C, Busch C-J, Blaurock M (2024)
Prevalence of Obstructive Sleep Apnea in Head and Neck Squamous Cell Carcinoma Patients before and after Treatment
Medicina, 2024; 60(2), 310; DOI:10.3390/medicina60020310
Gründling M, Scheer CS, Vollmer M (2024)
Remote Patient Monitoring bei SARS-COV-II-Infektionen – zentrale Aspekte und Erkenntnisse zu einem Pilotprojekt
In: McKinsey & Company (Ed.), Pirkka Padmanabhan (Ed.), Matthias Redlich (Ed.), Laura Richter (Ed.), Tobias Silberzahn (Ed.); E-Health Monitor 2023/24: Deutschlands Weg in die digitale Gesundheitsversorgung – Status quo und Perspektiven; Medizinisch Wissenschaftliche Verlagsgesellschaft, Berlin 2024; p195-209; ISBN:978-3-95466-860-1
Bergquist T, Schaffter T, Yan Y, Yu T, Prosser J, Gao J, Chen G, Charzewski Ł, Nawalany Z, Brugere I, Retkute R, Prusokas A, Prusokas A, Choi Y, Lee S, Choe J, Lee I, Kim S, Kang J, Mooney SD, Guinney J, the Patient Mortality Prediction DREAM Challenge Consortium (2024)
Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine
Journal of the American Medical Informatics Association, 2024; 31(1), 35-44; DOI:10.1093/jamia/ocad159
Bremer JP, Neyazi M, Knorr MS, Vollmer M, Groß S, Brederecke J, Ojeda FM, Dörr M, Blankenberg S, Schnabel RB (2023)
Deep learning based prediction of atrial fibrillation incidence from 1-lead ECGs: a model development and validation study
European Heart Journal, 2023; 44, Issue Supplement_2 ehad655.2931; DOI:10.1093/eurheartj/ehad655.2931
Neyazi M, Bremer JP, Knorr MS, Groß S, Brederecke J, Schweingruber N, Csengeri D, Schrage B, Bahls M, Friedrich N, Zeller T, Felix S, Blankenberg S, Dörr M, Vollmer M, Schnabel RB (2023)
Deep learning-based NT-proBNP prediction from the ECG for risk assessment in the community
Clinical Chemistry and Laboratory Medicine, 2024; 62(4), 740-752; DOI:10.1515/cclm-2023-0743
Idelevich EA, Nedow B, Vollmer M, Becker K (2023)
Evaluation of a Novel Benchtop Tool for Acceleration of Sample Preparation for MALDI-TOF Mass Spectrometry
Journal of Clinical Microbiology, 2023; 61(8):e00212-23; DOI:10.1128/jcm.00212-23
Krause E, Vollmer M, Wittfeld K, Weihs A, Frenzel S, Dörr M, Kaderali L, Felix SB, Stubbe B, Ewert R, Völzke H, Grabe HJ (2023)
Evaluating heart rate variability with 10-second multichannel electrocardiograms in a large population-based sample
Frontiers in Cardiovascular Medicine, 2023; 10, 598; DOI:10.3389/fcvm.2023.1144191
Konschake W, Riebe H, Vollmer M, Jünger M (2023)
Health-related quality of life during different stages of decongestive therapy on patients with lymphoedema of the legs
Journal of the European Academy of Dermatology & Venereology, 2023; 37:e872–e873; DOI:10.1111/jdv.18968
Vollmer M, Bläsing D, Reiser JE, Nisser M, Buder A (2023)
Simultaneous physiological measurements with five devices at different cognitive and physical loads (version 1.0.2)
PhysioNet, 2020; DOI:10.13026/wce5-fj54
Reichert VM, Alwafai Z, Zygmunt MT, Vollmer M, Köhler G (2023)
Accidental morcellation of uterine leiomyosarcoma influences relapse free survival but Does Not negatively influence overall survival
Journal of Clinical Medicine, 2023; 12(2), 591; DOI:10.3390/jcm12020591
Konschake W, Riebe H, Vollmer M, Jünger M (2022)
Optimisation of intermittent pneumatic compression in patients with lymphoedema of the legs
European Journal of Dermatology, 2022; 32(6), 781-792; DOI:10.1684/ejd.2022.4382
Bläsing D, Buder A, Reiser JE, Nisser M, Derlien S, Vollmer M (2022)
ECG performance in simultaneous recordings of five wearable devices using a new morphological noise-to-signal index and Smith-Waterman-based RR interval comparisons
PloS ONE, 2022; 17(10); e0274994; DOI:10.1371/journal.pone.0274994
Vollmer M, Giraldo Guzmán JA (2022)
Efficiency of different heartbeat detection methods by using alternative noise reduction algorithms
Computing in Cardiology (CinC), 2022; Vol 49; ISSN: 2325-887X; DOI:10.22489/CinC.2022.034
Bogaczyk V, Fleck S, Berneiser J, Opolka M, Vollmer M, Baldauf J, Schroeder H, Marx SJ, Gasch CM, Lemke EM, El Refaee E, Matthes M, Hirschfeld H, Lauffer H, Gaab M (2022)
Long-term quality of life after ETV or ETV with consecutive VP shunt placement in hydrocephalic pediatric patients
Child’s Nervous System, 2022; 38(10), 1885-1894; DOI:10.1007/s00381-022-05590-9
Vollmer M, Bläsing D, Reiser JE, Nisser M, Buder A (2022)
Simultaneous physiological measurements with five devices at different cognitive and physical loads (version 1.0.1)
PhysioNet, 2020; DOI:10.13026/zhns-t386
Vollmer M, Köhler G (2022)
Correspondence on ‘Clinical value of pre-operative scoring systems to predict leiomyosarcoma: results of a validation study in 177 patients from the NOGGO-REGSA Registry’ by Condic et al
International Journal of Gynecological Cancer, 2022; DOI:10.1136/ijgc-2022-003607
Junge F, Konschake W, Haase H, Vollmer M, Jünger M (2022)
Walking instead of standing: Influence of movement on sensations of discomfort and the volume of the lower legs during standing loads
VASA, 2022; DOI:10.1024/0301-1526/a000990
Al Menabbawy A, El Rafaee E, Elwy R, Salem AA, Lehmann S, Vollmer M, Matthes M, Fleck S, Baldauf J, Schröder H W S (2022)
A multivariable prediction model for recovery patterns and time course of symptoms improvement in hemifacial spasm following microvascular decompression
Acta Neurochirurgica, 164:833-844, 2022; DOI:10.1007/s00701-022-05133-w
Sodmann P F, Kaderali L, Vollmer M (2021)
Segment, Perceive and Classify-Multitask Learning of the Electrocardiogram in a Single Neural Network
Computing in Cardiology (CinC), 2021; Vol 48; ISSN: 2325-887X; DOI:10.22489/CinC.2021.129
Friedrich S, Groß S, König I R, Engelhardt S, Bahls M, Heinz J, Huber C, Kaderali L, Kelm M, Leha A, Rühl J, Schaller J, Scherer C, Vollmer M, Seidler T, Friede T (2021)
Applications of AI/ML approaches in cardiovascular medicine: A systematic review with recommendations
European Heart Journal – Digital Health, 2021; DOI:10.1093/ehjdh/ztab054
Gamain J, Herr T, Fleischmann R, Stenner A, Vollmer M, Willert C, Veit B, Lehnert B, Müller J-U, Steigerwald F, Tost F, Kronenbürger M (2021)
Smell and taste in idiopathic blepharospasm
Journal of Neural Transmission, 2021; DOI:10.1007/s00702-021-02366-4
Metelmann C, Metelmann B, Schuffert L, Hahnenkamp K, Vollmer M, Brinkrolf P (2021)
Smartphone apps to support laypersons in bystander CPR are of ambivalent benefit: a controlled trial using medical simulation
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 29:76, 2021; DOI:10.1186/s13049-021-00893-3
Metelmann B, Brinkrolf P, Kliche M, Vollmer M, Hahnenkamp K, Metelmann C (2021)
Emergency medical service, medical on-call service, or emergency department: Germans unsure whom to contact in acute medical events
Medizinische Klinik, Intensivmedizin und Notfallmedizin, 117, 144-151 2022; DOI:10.1007/s00063-021-00820-5
Ramminger S, Holzapfel C, Marra M, Lamers D, Poggiogalle E, Sealy M, Englert I, Boschmann M, Keil JP, Gärtner S, Vollmer M, Fischer D-C, Valentini L (2020)
Age-related decline of resting energy expenditure in humans with similar body weight: First results of the indirect-calorimetry (IC-) Basarot project
Clinical Nutrition ESPEN, 40, 485-486, 2020; DOI:10.1016/j.clnesp.2020.09.240
Ramminger S, Holzapfel C, Marra M, Lamers D, Poggiogalle E, Sealy M, Englert I, Boschmann M, Keil JP, Gärtner S, Vollmer M, Fischer D-C, Valentini L (2020)
Darstellung des indirekte Kalorimetrie-basierten Ruheenergieumsatzes über Geschlecht, Alter, BMI und Körpergewicht: Erste Ergebnisse einer multizentrischen, internationalen Querschnittsanalyse mit 2187 gesunden Personen
Aktuelle Ernährungsmedizin, 45(03):5, 2020; DOI:10.1055/s-0040-1710210
Herr T, Gamain J, Fleischmann R, Lehnert B, Vollmer M, Willert C, Veit B, Stenner A, Müller J-U, Caspers B, Kronenbürger M (2020)
Olfaction as a Marker for Dystonia: Background, Current State and Directions
Brain Sciences, 10(10), 727, 2020; DOI:10.3390/brainsci10100727
Sodmann P, Vollmer M (2020)
ECG Segmentation Using a Neural Network as the Basis for Detection of Cardiac Pathologies
Computing in Cardiology (CinC), 2020; Vol 47; ISSN: 2325-887X; DOI:10.22489/CinC.2020.356
Vollmer M, Bläsing D, Reiser JE, Nisser M, Buder A (2020)
Simultaneous physiological measurements with five devices at different cognitive and physical loads (version 1.0.0)
PhysioNet, 2020; DOI:10.13026/chd5-t946
El Damaty A, Marx S, Cohrs G, Vollmer M, Eltanahy A, El Refaee E, Baldauf J, Fleck S, Baechli H, Zohdi A, Synowitz M, Unterberg A, Schroeder HWS (2020)
ETV in infancy and childhood below 2 years of age for treatment of hydrocephalus
Child’s Nervous System, 2020; DOI:10.1007/s00381-020-04585-8
Luz C, Vollmer M, Decruyenaere J, Nijsten M, Glasner C, Sinha B (2020)
Machine learning in infection management using routine electronic health records: tools, techniques, and reporting of future technologies
Clinical Microbiology and Infection, 26(10), 1291-1299; DOI:10.1016/j.cmi.2020.02.003
Herr T, Hummel T, Vollmer M, Willert C, Veit B, Gamain J, Fleischmann R, Lehnert B, Müller J-U, Stenner A, Kronenbürger M (2020)
Smell and taste in cervical dystonia
Journal of Neural Transmission, 127(3), 346-354; DOI:10.1007/s00702-020-02156-4
Schwarzenbacher J, Kuhn S-O, Vollmer M, Scheer C, Fuchs C, Rehberg S, Balau V, Hahnenkamp K, Bohnert J A, Gründling M (2019)
On-site blood culture incubation shortens the time to knowledge of positivity and microbiological results in septic patients
PLoS ONE, 2019; 14(12):e0225999; DOI:10.1371/journal.pone.0225999
Metelmann B, Metelmann C, Schneider L, Vollmer M, Fischer M, Bohn A, Hahnenkamp K, Brinkrolf P (2019)
Anstieg der Laienreanimationsrate in Deutschland geht mit vermehrter Telefonreanimation einher / Increase in bystander-CPR within a decade accompanies rise in telephone-CPR
Der Notarzt, 35(06), 323-328; DOI:10.1055/a-1039-3693
Scheer CS, Kuhn S-O, Vollmer M, Hahnenkamp K, Rehberg S (2019)
Reply to the Letter to the Editor: Earlier Recognition of Sepsis and Septic Shock With Sepsis-3 Criteria – It’s Still Early Days!
Shock, Oct 19; DOI:10.1097/SHK.0000000000001461
Vollmer M, Bläsing D, Kaderali L (2019)
Alignment of Multi-Sensored Data: Adjustment of Sampling Frequencies and Time Shifts
Computing in Cardiology (CinC), 2019; Vol 46; ISSN: 2325-887X; DOI:10.22489/CinC.2019.031
Vollmer M, Luz CF, Sodmann P, Sinha B , Kuhn S-O (2019)
Time-specific Metalearners for the Early Prediction of Sepsis
Computing in Cardiology (CinC), 2019; Vol 46; ISSN: 2325-887X; DOI:10.22489/CinC.2019.029
Vollmer M (2019)
HRVTool – an Open-Source Matlab Toolbox for Analyzing Heart Rate Variability
Computing in Cardiology (CinC), 2019; Vol 46; ISSN: 2325-887X; DOI:10.22489/CinC.2019.032
Köhler G, Vollmer M, Nath N, Hessler PA, Dennis K, Lehr A, Köller M, Riechmann C, Bralo H, Trojnarska D, Lehnhoff H, Krichbaum J, Krichbaum M, Evert K, Evert M, Zygmunt MT, Kaderali L (2019)
Benign uterine mass – discrimination from leiomyosarcoma by a preoperative risk score: a multicenter cohort study.
Archives of Gynecology and Obstetrics, 300(6), 1719-1727; DOI:10.1007/s00404-019-05344-0
Westphal T, Konschake W, Haase H, Vollmer M, Jünger M, Riebe H (2019)
Medical compression stockings on the skin moisture in patients with chronic venous disease.
Vasa, Vol 48, 502-508; DOI:10.1024/0301-1526/a000812
Rajagopalan A, Vollmer M (2019)
Rapid Detection of Heart Rate Fragmentation and Cardiac Arrhythmias: Cycle-by-Cycle rr Analysis, Supervised Machine Learning Model and Novel Insights.
In: Riaño D., Wilk S., ten Teije A. (eds) Artificial Intelligence in Medicine. AIME 2019. Lecture Notes in Computer Science, vol 11526. Springer, Cham; DOI:10.1007/978-3-030-21642-9_47
Scheer CS, Fuchs C, Gründling M, Vollmer M, Bast J, Bohnert JA, Zimmermann K, Hahnenkamp K, Rehberg S, Kuhn SO (2019)
Impact of antibiotic administration on blood culture positivity at the beginning of sepsis: a prospective clinical cohort study
Clinical Microbiology and Infection, 25(3), 326-331; DOI:10.1016/j.cmi.2018.05.016
Scheer CS, Kuhn S, Fuchs C, Vollmer M, Modler M, Brunkhorst F, Shankar-Hari M, Hahnenkamp K, Gründling M, Rehberg S. (2018)
Do Sepsis-3 criteria facilitate earlier recognition of sepsis and septic shock? A retrospective cohort study
Shock, 51(3), 306-311; DOI:10.1097/SHK.0000000000001177;
Sodmann P, Vollmer M, Nath N, Kaderali L (2018)
A Convolutional Neural Network for ECG Annotation as the Basis for Classification of Cardiac Rhythms
Physiological Measurement, 2018; 39(10); DOI:10.1088/1361-6579/aae304
Vollmer M, Sodmann P, Caanitz L, Nath N, Kaderali L (2017)
Can Supervised Learning Be Used to Classify Cardiac Rhythms?
Computing in Cardiology (CinC), 2017; Vol 44; ISSN: 2325-887X; DOI:10.22489/CinC.2017.347-176
Vollmer M (2017)
Noise Resistance of Several Top-Scored Heart Beat Detectors
Computing in Cardiology (CinC), 2017; Vol 44; ISSN: 2325-887X; DOI:10.22489/CinC.2017.182-178
Vollmer M (2017)
Arrhythmia Classification in Long-Term Data Using Relative RR Intervals
Computing in Cardiology (CinC), 2017; Vol 44; ISSN: 2325-887X; DOI:10.22489/CinC.2017.213-185
Fuchs C, Wauschkuhn S, Scheer CS, Vollmer M, Meissner K, Kuhn S, Hahnenkamp K, et al. (2017)
Continuing chronic beta-blockade in the acute phase of severe sepsis and septic shock is associated with decreased mortality rates up to 90 days
British Journal of Anaesthesia, 2017; 119(4), p 616-625. DOI:10.1093/bja/aex231
Scheer CS, Fuchs C, Kuhn S, Vollmer M, Rehberg S, Meissner K, et al. (2017)
Quality Improvement Initiative for Severe Sepsis and Septic Shock Reduces 90-Day Mortality: A 7.5-Year Observational Study
Critical Care Medicine, 2017; 45(2), p 241-252. DOI:10.1097/CCM.0000000000002069;
Vollmer M (2015)
A Robust, Simple and Reliable Measure of Heart Rate Variability using Relative RR Intervals
Computing in Cardiology Conference (CinC), 2015; Nice, France; ISSN: 2325-8861; p 609-612.
Vollmer M (2014)
Robust Detection of Heart Beats using Dynamic Thresholds and Moving Windows
Computing in Cardiology Conference (CinC), 2014; Cambridge, MA; ISSN: 2325-8861; p 569-572.
Presentations and Posters
Statistical Computing (Günzburg 2022)
AMG-Studien Grundlagenkurs (Greifswald 2020)
Computing in Cardiology (Singapore 2019)
Computing in Cardiology (Singapore 2019)
Statistical Computing (Günzburg 2019)
R-Developer Meeting (Greifswald 2019)
Young-DZHK CardioLunch (Greifswald 2019)
R-Developer Meeting (Greifswald 2019)
Adaptive Designs and Mutiple Testing Procedures (Bremen 2018)
GMDS (Osnabrück 2018)
GMDS (Osnabrück 2018)
Statistical Computing (Günzburg 2018)
Young-DZHK Retreat (Greifswald/Wieck 2018)
Computing in Cardiology (Rennes 2017)
Computing in Cardiology (Rennes 2017)
Computing in Cardiology (Rennes 2017)
Statistical Computing (Günzburg 2017)
German Conference on Bioinformatics (Potsdam 2016)
Promotionskolloquium (Greifswald 2016)
Computing in Cardiology (Nice 2015)
Get the Poster and print friendly version
PhysioNet/Computing in Cardiology Challenge 2014
Results: 1st place in Phase I, Phase II: 2nd, Phase III: 5th.preprints: http://www.cinc.org/archives/2014/
Computing in Cardiology (Cambridge 2014)
Critical Care Data Mining Marathon 2014
Kinder- und Jugenduni 2014
Potsdam Conference on Structural Inference in Statistics 2013
Weimar Sepsis Update 2013
Kinder- und Jugenduni Greifswald 2013
Copulae in mathematical and quantitative finance (Kraków 2012)
Computing & Statistics (ERCIM’11) (London 2011)
17. DStatG Nachwuchsworkshop (Leipzig 2011)
Weihnachtskolloquium 2010
Software/ Applications/ OpenSource
HRVTool
HRVTool.app for Matlab
A user friendly application for screening and manipulation of ECG data and the analysis of heart rate variability.
Please visit the project page on GitHub marcusvollmer.github.io/HRV. The application is licensed under MIT license.
DataDownload
DataDownload.app for Matlab
An application to list and download lots of files with specific file extensions from websites and servers.
Matlab Centrals Pick of the week in January 2019.
LiveRecording
LiveRecording.app for Matlab
Recording audio signals from an input device with real-time analysis of the immediate signal showing the spectrogram.
Upon request I provide a standalone executable.
R-Helper-Functions
R helper functions
R functions for summary statistics and statistical analysis.
CampR
CampR
Notebooks introducing specific topics of data analysis with R.
Achievements
Best oral presentation (CinC 2019)
In participation of the PhysioNet Computing in Cardiology Challenge 2019
World Sepsis Award 2017
As active member of Sepsis Dialog
PhysioNet/CinC Challenge Award Winner
In participation of the PhysioNet Computing in Cardiology Challenge 2014