Cited by

MMG Database (v1.0.0)

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2 publications cite any version of this project or its primary paper, newest first.

• Towards an affordable magnetomyography instrumentation and low model complexity approach for labour imminency prediction using a novel multiresolution analysis
  Ejay Nsugbe, Ibrahim Sanusi. Applied AI Letters, 2021. Cites: dataset
• A Low Channel Number Sensing Approach for an Ethnic Specific Labour Immanency Prediction using Bio-Electromagnetism
  Ejay Nsugbe, Ibrahim Sanusi, Olusayo Obajemu et al. IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT), 2021. Cites: dataset

Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.