Minh H. Pham


M. Sc. Minh H. Pham

Room D-019
Kaiserstraße 2, 24143 Kiel, Germany
Phone: +49 431 880-6132
Telefax: +49 431 880-6128
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Research: Axial Movements in Older Adults and Patients with Parkinson’s Disease – Algorithm Development and Validation with Inertial Measurement Unit Data

The abnormality in movements is associated with a degradation in health, usually indicating the symptoms of neurodegenerative diseases. The monitoring of movements is of special interest, either qualitatively by using traditional clinical assessment, or quantitatively via modern wearable devices, such as inertial measurement units (IMU).

The aim of my PhD project is to compare movements of healthy older adults and patients with Parkinson’s disease in a lab- and home-like assessment. Algorithms for the data evaluation will be developed and tested against gold standard algorithms. Then, the data captured with an IMU on the lower back, will be analyzed with three validated algorithms for the movements: turning, walking and postural transition (sit-to-stand and stand-to-sit). Furthermore, a Graphical User Interface (GUI) will be developed.

This work could be beneficial for medical doctors treating movement disorder patients. The project will be performed in close collaboration with the Neurogeriatrics research group (head: Prof. Walter Maetzler; Deputy head: Dr. Clint Hansen) at the Neurology Department of the University Hospital Schleswig-Holstein, Campus Kiel.

Related topics:

  • Movement analysis
  • Inertial measurement units

Short CV

2016 - current   Research assistant at the Christian-Albrechts-Universität zu Kiel, Kiel, Germany
2015 - 2016   Research assistant at the University of Tübingen, Tübingen, Germany
2013 - 2015   M.Sc. in Biomedical Engineering University of Lübeck, Lübeck, Germany and Lübeck University of Applied Science, Lübeck, Germany
2011 - 2012   B.Sc. in Electrical Engineering and Information Technology, Frankfurt University of Applied Science, Frankfurt am Main, Germany
2008 – 2011   B.Sc. in Electrical Engineering and Information Technology, Vietnamese German University, Ho Chi Minh City, Vietnam


  1. E. Warmerdam, M. H. Pham, C. Hansen, W. Maetzler: P 130—The Influence of Different Settings on Accuracies of Gait Algorithms,  Poster,  Gait and Posture, 2018

  2. M. H. Pham, E. Warmerdam, M. Elshehabi, C. Schlenstedt, L. Bergeest, M. Heller, L. Haertner, J. J. Ferreira, D. Berg, G. Schmidt, C. Hansen, W. Maetzler: Validation of a Lower Back “Wearable”-Based Sit-to-Stand and Stand-to-Sit Algorithm for Patients With Parkinson’s Disease and Older Adults in a Home-Like Environment, Front. Neurol., 2018 (doi: 10.3389/fneur.2018.00652)

  3. L. Haertner, M. Elshehabi, L. Zaunbrecher, M. H. Pham, C. Maetzler, J. M. T. van Uem, M. A. Hobert, S. Hucker, S. Nussbaum, D. Berg, I. Liepelt-Scarfone, W. Maetzler: Effect of Fear of Falling on Turning Performance in Parkinson’s Disease in the Lab and at Home, Front. Aging Neurosci., 10:78, 2018 (doi: 10.3389/fnagi.2018.00078)

  4. M. H. Pham, M. Elshehabi, L. Haertner, S. D. Din, K. Srulijes, T. Heger, M. Synofzik, M. A. Hobert, G. S. Faber, C. Hansen, D. Salkovic, J. J. Ferreira, D. Berg, A. Sanchez-Ferro, J. H. van Dieën, C. Becker, L. Rochester, G. Schmidt, and W. Maetzler: Validation of a Step Detection Algorithm during Straight Walking and Turning in Patients with Parkinson’s Disease and Older Adults Using an Inertial Measurement Unit at the Lower Back, Front. Neurol. 8:457, 2017 (doi: 10.3389/fneur.2017.00457)

  5. M. H. Pham, M. Elshehabi, W. Maetzler: Validation of Gait Detection and Analysis, Proc. EMBC, Jeju, Korea, 2017

  6. M. H. Pham, M. Elshehabi, L. Haertner, T. Heger, M. A. Hobert, G. S. Faber, D. Salkovic, J. J. Ferreira, D. Berg, A. Sanchez-Ferro, J. H. van Dieën, W. Maetzler: Algorithm for Turning Detection and Analysis Validated under Home-Like Conditions in Patients with Parkinson’s Disease and Older Adults using a 6 Degree-of-Freedom Inertial Measurement Unit at the Lower Back, Front. Neurol. 8:135, 2017 (doi: 10.3389/fneur.2017.00135)

Internal PhD Students


Rasool Al-Mafrachi
Christin Bald
Real-time Signal Processing for Magnetoelectric Sensors
Eric Elzenheimer
Medical Signal Processing
Marco Gimm
Tobias Hübschen
Instrumental Quality Assessment for Speech Communication Systems
Alexej Namenas
Cognitive-adaptive Target Detection and Tracking for SONAR Systems
Anton Namenas
Acoustic Environments and Evaluation of Communication Systems
Thorben Kaak
Real-time MIMO Signal Processing for Active SONAR Systems
Bastian Kaulen
SONAR Signal Processing
Minh H. Pham
Medical Signal Processing
Robbin Romijnders
Medical Signal Processing
Finn Spitz
Speech Analysis and Therapy for Parkinson Patients
Elke Warmerdam
Medical Signal Processing
Owe Wisch
Underwater Communication in Real-time MIMO-SONAR-Systems


Prof. Dr.-Ing. Gerhard Schmidt

E-Mail: gus@tf.uni-kiel.de

Christian-Albrechts-Universität zu Kiel
Faculty of Engineering
Institute for Electrical Engineering and Information Engineering
Digital Signal Processing and System Theory

Kaiserstr. 2
24143 Kiel, Germany

Recent News

Saturday Morning Physics 2018

The DSS team was invited to participate in the last of the "Saturday Morning Physics" (SMP) events in 2018. On December 8th, a Saturday of course, Thorben Kaak, Gerhard Schmidt, and Owe Wisch gave a talk on underwater signal processing. Pupils from all around Schleswig-Holstein were quite interested, especially in the basics of SONAR systems.