Nemuel Daniel Pah

Employment

• Universitas Surabaya Associate Professor
  1994 - Present

Education

• RMIT University Ph.D.
  1999 - 2003
• RMIT University M.Eng.
  1998 - 1999
• Institut Teknologi Sepuluh Nopember S.T.
  1988 - 1993

Projects & Funding

Projects & funding information is unavailable.

Publications (24)

• Integrating Stakeholder Perspectives in the Co-Design of Medical Device Software to monitor Parkinson’s Disease Symptoms- A Case-study
  2026 DOI: 10.2139/ssrn.6137180
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• How photoplethysmography can be used to detect major depressive disorder among patients with obstructive sleep apnea during sleep
  Vikash Shaw, Quoc Cuong Ngo, Nemuel Daniel Pah +4 more
  Computers in Biology and Medicine 2025 DOI: 10.1016/j.compbiomed.2025.110814
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• A pilot study for speech assessment to detect the severity of Parkinson’s disease: An ensemble approach
  Guilherme Camargo de Oliveira, Nemuel Daniel Pah, Quoc Cuong Ngo +4 more
  Computers in Biology and Medicine 2025 DOI: 10.1016/j.compbiomed.2024.109565
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• The Effectiveness of Acoustic Voice Quality Index to Identify People With Parkinson’s Disease
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3498836
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• On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice
  Máté Hireš, Peter Drotár, Nemuel Daniel Pah

  +2 more

  • Quoc Cuong Ngo
  • Dinesh Kumar
  International Journal of Medical Informatics 2023 DOI: 10.1016/j.ijmedinf.2023.105237
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• Cross-Corpus Disparity of Parkinson's Voice Datasets Observed on Control Group Distribution
  Nemuel Daniel Pah, Veronica Indrawati, Dinesh Kumar
  2023 DOI: 10.1109/ICAIIC57133.2023.10066982
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• Voice-Based SVM Model Reliability for Identifying Parkinson’s Disease
  Nemuel Daniel Pah, Veronica Indrawati, Dinesh Kumar
  IEEE Access 2023 DOI: 10.1109/ACCESS.2023.3344464
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• Convolutional neural network ensemble for Parkinson's disease detection from voice recordings
  Máté Hireš, Matej Gazda, Peter Drotár +3 more
  Computers in Biology and Medicine 2022 DOI: 10.1016/j.compbiomed.2021.105021
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• Parkinson’s Disease Detection Using Smartphone Recorded Phonemes in Real World Conditions
  Mohammod Abdul Motin, Nemuel Daniel Pah, Sanjay Raghav +1 more
  IEEE Access 2022 DOI: 10.1109/ACCESS.2022.3203973
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• Voice Analysis for Diagnosis and Monitoring Parkinson’s Disease
  2022 DOI: 10.1007/978-981-16-3056-9_8
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• Voice Features of Sustained Phoneme as COVID-19 Biomarker
  Nemuel Daniel Pah, Veronica Indrawati, Dinesh Kumar
  IEEE Journal of Translational Engineering in Health and Medicine 2022 DOI: 10.1109/JTEHM.2022.3208057
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• Detecting Effect of Levodopa in Parkinson’s Disease Patients Using Sustained Phonemes
  Nemuel Daniel Pah, Mohammod Abdul Motin, Peter A. Kempster +1 more
  IEEE Journal of Translational Engineering in Health and Medicine 2021 DOI: 10.1109/JTEHM.2021.3066800
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• T-wave identification in ECG signal using symmetric distance coefficient
  International Journal of Applied Engineering Research 2014
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• Classifying surface electromyography with thresholding wavelet network
  2004 IEEE International Workshop on Biomedical Circuits and Systems 2004
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• EEG coherence changes between right and left motor cortical areas during voluntary muscular contraction
  Australasian Physical and Engineering Sciences in Medicine 2004
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• Thresholding Wavelet Networks for Signal Classification
  International Journal of Wavelets, Multiresolution and Information Processing 2003
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• Wavelet Analysis of Surface Electromyography to Determine Muscle Fatigue
  Dinesh Kumar, Nemuel Daniel Pah, A. Bradley
  IEEE Transactions on Neural Systems and Rehabilitation Engineering 2003 DOI: 10.1109/TNSRE.2003.819901
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• Classification of electromyograph for localised muscle fatigue using neural networks
  Nemuel Daniel Pah, Dinesh Kumar
  ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference 2001 DOI: 10.1109/ANZIIS.2001.974089
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• Classification of hand direction using multi-channel electromyography by neural network
  Ning Ma, Dinesh Kumar, Nemuel Daniel Pah
  ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference 2001 DOI: 10.1109/ANZIIS.2001.974113
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• Environmental sound sources classification using neural networks
  S. Stoeckle, Nemuel Daniel Pah, Dinesh Kumar +1 more
  ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference 2001 DOI: 10.1109/ANZIIS.2001.974112
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