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Professur Mess- und Sensortechnik
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Professur Mess- und Sensortechnik 
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Njeh, Sawsan

Sawsan Njeh

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Forschungsbereich Smart Wearables
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Reichenhainer Straße 70, Weinholdbau, W287
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Publikationen
TU Chemnitz MST Logo
Njeh, Sawsan

Sawsan Njeh

Aktiv
Smart Wearables
4 Publikationen • 2024–aktuell
1
Journale
3
Konferenzen
Profil
Publikationen (4)

Overview

Dipl.-Ing. Sawsan Njeh received her degree in Electrical Engineering from National Engineering School of Sfax, Tunisia, in 2024.

She conducted her engineering thesis on Surface Electromyography (sEMG) Signals for Muscle Force Estimation, focusing on feature extraction and machine learning-based modelling for muscle assessment.

Currently, she is focusing on integrating fatigue detection into the muscle force estimation for enhanced rehabilitation strategies.

Research Interests

  • Surface electromyography (sEMG) signal analysis
  • Muscle fatigue detection and force estimation
  • Feature extraction and machine learning for bio-signal modelling
  • Signal processing and bio-signal analysis
  • Wearable sensing systems for neuromuscular assessment

2025

Journal Overcoming behavioral variability in electromyography signals by an adaptive incremental classification approach
Autoren: Hellara, H.; Kahouli, O.; Njeh, S.; Kallel, A. Y.; Kanoun, O.
Quelle: In: Computational and Structural Biotechnology Journal. - Elsevier BV. - 28. 2025, S. 498 - 510ISBN/ ISSN: Online ISSN: 2001-0370
Conference Impact of Muscle Fatigue on Force Level Classification Using sEMG Signals During Grasping Exercises
Autoren: Njeh, S.; Hellara, H.; Mezghani, B.; Kanoun, O.
Quelle: 2025 International Workshop on Impedance Spectroscopy (IWIS), 23-26 September 2025, Chemnitz, pp. 45 - 50. - IEEE, 2025ISBN/ ISSN: Electronic ISBN: 979-8-3315-9322-3 ; Print on Demand(PoD) ISBN: 979-8-3315-9323-0
Conference Surface Electromyography-Based Muscle Fatigue Assessment During Hand Grasping Exercises
Autoren: Hellara, H.; Njeh, S.; Afaneh, A.; Kanoun, O.
Quelle: 2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 22-24 October 2025, Ancona, pp. 1136-1141. - IEEE, 2025ISBN/ ISSN: Electronic ISBN: 979-8-3315-0279-9 ; Print on Demand(PoD) ISBN: 979-8-3315-0280-5

2024

Conference Surface Electromyography Signal Analysis for Detecting Muscle Fatigue During Grasping Exercises
Autoren: Njeh, S.; Hellara, H.; Derbel, N.; Kanoun, O.
Quelle: 2024 International Workshop on Impedance Spectroscopy (IWIS), Chemnitz, 24-27 September 2024, pp. 123-124. - IEEE, 2024ISBN/ ISSN: Electronic ISBN: 979-8-3315-0762-6 ; Print on Demand(PoD) ISBN: 979-8-3315-0763-3
4
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1
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3
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