Cargando…
SciKit Digital Health: Python Package for Streamlined Wearable Inertial Sensor Data Processing
Wearable inertial sensors are providing enhanced insight into patient mobility and health. Significant research efforts have focused on wearable algorithm design and deployment in both research and clinical settings; however, open-source, general-purpose software tools for processing various activit...
Autores principales: | Adamowicz, Lukas, Christakis, Yiorgos, Czech, Matthew D, Adamusiak, Tomasz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9073613/ https://www.ncbi.nlm.nih.gov/pubmed/35353039 http://dx.doi.org/10.2196/36762 |
Ejemplares similares
-
SciKit-Surgery: compact libraries for surgical navigation
por: Thompson, Stephen, et al.
Publicado: (2020) -
Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation
por: Bac, Jonathan, et al.
Publicado: (2021) -
SciKit-SurgeryGlenoid, an Open Source Toolkit for Glenoid Version Measurement
por: Olafsdottir, Asta, et al.
Publicado: (2022) -
scikit-image: image processing in Python
por: van der Walt, Stéfan, et al.
Publicado: (2014) -
Scikit-learn cookbook: over 80 recipes for machine learning in Python with scikit-learn
por: Avila, Julian, et al.
Publicado: (2017)