Resources

Open-source datasets and code

From my prior work and the GNRL’s work.

  1. Musculoskeletal models of walking with ankle exoskeletons: Contains models and datasets to simulation walking with ankle exoskeletons in children with and without cerebral palsy.
    • Rosenberg M, Steele KM. Simulated impacts of ankle foot orthoses on muscle demand and recruitment in typically-developing children and children with cerebral palsy and crouch gait. PloS one. 2017 Jul 13;12(7):e0180219.
  2. Data-driven modeling of walking with ankle exoskeletons: Contains data and modeling code for purely data-driven models and physics-based (template) walking models.
    • Rosenberg MC, Banjanin BS, Burden SA, Steele KM. Predicting walking response to ankle exoskeletons using data-driven models. Journal of the Royal Society Interface. 2020 Oct 28;17(171):20200487.
    • Rosenberg MC, Proctor JL, Steele KM. Quantifying changes in individual-specific template-based representations of center-of-mass dynamics during walking with ankle exoskeletons using Hybrid-SINDy. Scientific Reports. 2024 Jan 10;14(1):1031.
  3. Gait Signatures modeling framework: Contains data and modeling code to generate Gait Signatures of walking in non-disabled adults and stroke survivors.
    • Winner TS, Rosenberg MC, Jain K, Kesar TM, Ting LH, Berman GJ. Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics. PLOS Computational Biology. 2023 Oct 27;19(10):e1011556.

Running list of random resources, ideas, and advice

  1. My old and rambling blog post on how to write an NSF GRFP. The post skips the general recommendations on how to write a GRFP application. Instead, the post focuses and expands upon common mistakes that I’ve seen many graduate students make when writing their GRFP statements.
  2. A great blog post from Prof. Lena Ting on how to read scientific papers. This is a must-read for students who are new to research and will save you a lot of time.