Ann-Kristin Seifer
Ann-Kristin Seifer, M. Sc.
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Carl-Thiersch-Str. 2b
91052 Erlangen
Germany
- Phone number: +49 9131 85-20380
- Email: ann-kristin.seifer@fau.de
| since 10/2020 | Researcher and PhD Candidate
Machine Learning and Data Analytics Lab |
| 10/2017-09/2020 | M.Sc. in Medical Engineering, “Medical Image and Data Processing”
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Majors: Pattern Recognition, Image Processing, Biomedical Signal Processing, Deep Learning |
| 12/2019-06/2020 | Master’s Thesis
WS Audiology, Erlangen |
| 02/2018-11/2019 | Working Student
Audiology Department at WS Audiology, Erlangen |
| 10/2013-03/2018 | B.Sc. in Medical Engineering, “Medical Imaging Systems”
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Majors: Image and Signal Processing
|
| 11/2016-02/2017 | Internship
Philips Research, Hamburg Topic: Compensation of Segmentation Differences Between Different Imaging Modalities |
2024
- Grube L., Petit P., Vuillerme N., Nitschke M., Nwosu OB., Knitza J., Krusche M., Seifer AK., Eskofier B., Schett G., Morf H.:
Complementary App-Based Yoga Home Exercise Therapy for Patients With Axial Spondyloarthritis: Usability Study
In: JMIR Formative Research 8 (2024), Article No.: e57185
ISSN: 2561-326X
DOI: 10.2196/57185
BibTeX: Download - Küderle A., Ullrich M., Roth N., Ollenschläger M., Ibrahim A., Moradi H., Richer R., Seifer AK., Zürl M., Simpetru R., Herzer L., Prossel D., Kluge F., Eskofier B.:
Gaitmap – An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking
In: IEEE Open Journal of Engineering in Medicine and Biology (2024), p. 1-10
ISSN: 2644-1276
DOI: 10.1109/OJEMB.2024.3356791
BibTeX: Download - Seifer AK., Kuderle A., Dorschky E., Moradi H., Hannemann R., Eskofier B.:
Step Length and Gait Speed Estimation using A Hearing Aid Integrated Accelerometer: A Comparison of Different Algorithms
In: IEEE Journal of Biomedical and Health Informatics (2024)
ISSN: 2168-2194
DOI: 10.1109/JBHI.2024.3454824
BibTeX: Download
2023
- Nitschke M., Nwosu OB., Grube L., Knitza J., Seifer AK., Eskofier B., Schett G., Morf H.:
Refinement and Usability Analysis of an eHealth App for Ankylosing Spondylitis as a Complementary Treatment to Physical Therapy: Development and Usability Study
In: JMIR Formative Research 7 (2023), Article No.: e47426
ISSN: 2561-326X
DOI: 10.2196/47426
BibTeX: Download - Seifer AK., Dorschky E., Küderle A., Moradi H., Hannemann R., Eskofier B.:
EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors
In: Sensors 23 (2023), Article No.: 6565
ISSN: 1424-8220
DOI: 10.3390/s23146565
URL: https://www.mdpi.com/1424-8220/23/14/6565
BibTeX: Download - Seifer AK., Popp F., Richer R., Gaßner H., Eskofier B.:
Improving the Robustness of IMU-based Sit-To-Stand Detection during Simulated Real-World Activities for Different Sensor Positions
IEEE Biomedical and Health Informatics Conference (Pittsburgh, 15. October 2023 - 18. October 2023)
BibTeX: Download
2022
- Moradi H., Roth N., Seifer AK., Eskofier B.:
Detection of distorted gait and wearing-off phenomenon in Parkinson's disease patients during Levodopa therapy
4th IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN) / 18th IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (Ioannina)
In: 2022 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN'22), NEW YORK: 2022
DOI: 10.1109/BHI56158.2022.9926873
BibTeX: Download - Ollenschläger M., Küderle A., Mehringer W., Seifer AK., Winkler J., Gaßner H., Eskofier B., Kluge F.:
MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data
In: Sensors 22 (2022)
ISSN: 1424-8220
DOI: 10.3390/s22155849
BibTeX: Download - Truong MT., Nwosu OB., Gaytan Torres ME., Segura Vargas MP., Seifer AK., Nitschke M., Ibrahim A., Knitza J., Krusche M., Eskofier B., Schett G., Morf H.:
A Yoga Exercise App Designed for Patients With Axial Spondylarthritis: Development and User Experience Study
In: JMIR Formative Research 6 (2022), p. e34566
ISSN: 2561-326X
DOI: 10.2196/34566
URL: https://formative.jmir.org/2022/6/e34566
BibTeX: Download
2020
- Seifer AK., Schinkel-Bielefeld N., Schröter H., Escalante Banuelos A., Hoppe U., Maier A.:
Predicting Hearing Aid Fittings Based on Audiometric and Subject-Related Data: A Machine Learning Approach
Virtual Conference on Computational Audiology (VCCA2020) (Virtual, 19. June 2020 - 19. June 2020)
In: Virtual Conference on Computational Audiology (VCCA2020) 2020
URL: https://computationalaudiology.com/predicting-hearing-aid-fittings-based-on-audiometric-and-subject-related-data-a-machine-learning-approach/
BibTeX: Download
2019
- Dorschky E., Nitschke M., Seifer AK., van den Bogert AJ., Eskofier B.:
Estimation of Gait Kinematics and Kinetics from Inertial Sensor Data Using Optimal Control of Musculoskeletal Models
In: Journal of Biomechanics (2019)
ISSN: 0021-9290
DOI: 10.1016/j.jbiomech.2019.07.022
URL: https://www.mad.tf.fau.de/files/2019/08/201908_JBiomech_Dorschky.pdf
BibTeX: Download
2018
- Nitschke M., Dorschky E., Seifer AK., Schlarb H., van den Bogert AJ., Eskofier B.:
Optimal Control Simulation of a 2D Biomechanical Model for Sensor-Based Gait Analysis
Summer School "Humans in Motion" (Heidelberg, 23. September 2018 - 28. September 2018)
URL: https://www.mad.tf.fau.de/files/2018/10/2018_09_18_Nitschke_HumansInMotion.pdf
BibTeX: Download
Scrum Master of several teams in the Innovation Lab for Wearable and Ubiquitous Computing:
| Year | Type | Student | Titel |
| 2024 | Master Thesis | Maximilian Renz | Depression detection using Earables |
| 2024 | Master Thesis | Alexander Klingebiel |
Balance Assessment with Earables |
| 2024 | Master Thesis | Saba Mohammadi |
Co-supervision |
| 2024 | Master Thesis | Terumi Hauser | |
| 2023 | Master Project | Maximilian Renz | |
| 2023 | Master Thesis | Jelina Unger | |
| 2023 | Student Assistant | Lukas Jahnel |
Implementation and evaluation of a gait sequence detector |
| 2023 | Student Assistant | Luzie Richter |
Data acquisition and analysis |
| 2023 | Master Thesis | Johanna Schwarz |
Speed estimation using wrist-worn IMUs |
| 2023 | Master Thesis | Friederike Popp |
Sit-to-stand transfer |
| 2022 | Master Project | Stefan Musevski |
Gait sequence detection |
| 2022 | Student Assistant | Alexander Schmieg |
Implementation of a deep learning model for gait parameter estimation |
| 2022 | Master Thesis | Obioma Nwosu |
Development of E-Health application for rheumatic patients (YogiTherapyApp) |
| 2022 | Master Thesis | Maximilian Vogel |
Compressed deep learning model for Human Activity Recognition |
| 2022 | Student Assistant | Fatemeh Rezaei |
Motion data analysis |
| 2021 | Bachelor Thesis | Svenja Mitrovics |
Gait event detection using IMU sensors integrated into hearing aids |
| 2021 | Student Assistant | Lara Dittmann |
Motion data analysis |
| 2021 | Bachelor Thesis | Jana Kiederle |
Motion analysis using IMU sensors integrated into hearing aids |