Sebastian Wolf

Dr. Sebastian Wolf

orcid

Research Focus & Metrics

Academic Career Length

74Years (1953-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2014 in Research in Developmental Disabilities
Verified
Journal Article
Closed access
MKMatthias C.M. Klotz
Matthias C.M. Klotz
SDStefan van Drongelen
Stefan van Drongelen
OROliver Rettig
Oliver Rettig
PWPatrick Wenger
Patrick Wenger
SGSimone Gantz
Simone Gantz
SWSebastian Wolf
Sebastian Wolf

1 September 2016 in Physiotherapy
Verified
Journal Article
Closed access
BKB. Kuni
B. Kuni
JMJ. Mussler
J. Mussler
EKE. Kalkum
E. Kalkum
HSH. Schmitt
H. Schmitt
SWSebastian Wolf
Sebastian Wolf

1 January 2014 in Gait & Posture
Verified
Journal Article
Closed access
SWSebastian Wolf
Sebastian Wolf
RMRalf Mikut
Ralf Mikut
AKAndreas Kranzl
Andreas Kranzl
TDThomas Dreher
Thomas Dreher

1 April 2011 in Gait & Posture
Verified
Journal Article
Closed access
SWSebastian Wolf
Sebastian Wolf
FBFrank Braatz
Frank Braatz
DMDimitrios Metaxiotis
Dimitrios Metaxiotis
PAPetra Armbrust
Petra Armbrust
TDThomas Dreher
Thomas Dreher
RMRalf Mikut
Ralf Mikut

25 June 2024 in IEEE Sensors Journal
Verified
Journal Article
Closed access
Bastian LatschBastian Latsch
Bastian Latsch
NSNiklas Schäfer
Niklas Schäfer
MGMartin Grimmer
Martin Grimmer
ODOmar Ben Dali
Omar Ben Dali
OMOmid Mohseni
Omid Mohseni
MKMario Kupnik
Mario Kupnik
Detecting human movement is crucial for the control of lower limb wearable robotics designed to assist daily activities or rehabilitation tasks. Sensorized insoles present a viable option for extracting control inputs, such as gait events and the corresponding phases, essential for regulating the magnitude and timing of assistance. Given their highly sensitive piezoelectric response to dynamic loading, ferroelectrets emerge as a cost-effective solution for customizing sensors suitable for these autonomous systems. Within this study, an insole with four ferroelectret sensors is 3D-printed monolithically from polylactic acid (PLA) onto bulk films of the same material through seamless thermal fusion. Sensor and insole are characterized through a testing machine and by conducting human walking experiments on an instrumented treadmill. The testing machine results indicate suitable sensor performance for the application in wearable robotics concerning the sensitivity, minimal detectable change, hysteresis, drift, and repeatability. Walking experiments reveal the insole’s capability to detect gait events such as heel strikes with minimal variability and on average 16 ms faster compared to the reference of vertical ground reaction forces across all walking speeds above 1 m/s. The peak sensor outputs strongly relate to the reference while both exhibit a linear (R-squared > 95%) increase corresponding to walking speed. In conclusion, study findings demonstrate the feasibility of PLA-based ferroelectrets as customized insole sensors for event detection in gait analysis, enabling assessment of human biomechanics with minimal impact on the natural gait and control of autonomous wearable robotics, such as exoskeletons.

21 July 2014 in BMC Musculoskeletal Disorders
Verified
Journal Article
Open access
PDF file
MMMichael W Maier
Michael W Maier
MNMirjam Niklasch
Mirjam Niklasch
TDThomas Dreher
Thomas Dreher
FZFelix Zeifang
Felix Zeifang
OROliver Rettig
Oliver Rettig
PKPhilip Kasten
Philip Kasten
Total shoulder arthroplasty (TSA) can improve function in osteoarthritic shoulders, but the ability to perform activities of daily living (ADLs) can still remain impaired. Routinely, shoulder surgeons measure range of motion (ROM) using a goniometer. Objective data are limited, however, concerning functional three-dimensional changes in ROM in ADLs after TSA in patients with degenerative glenohumeral osteoarthritis.