Journal: International journal for numerical methods in biomedical engineering

Article Title: Piloting a Novel Computational Framework for Identifying Prosthesis-Specific Contributions to Gait Deviations.

doi: 10.1002/cnm.3876

Figure Lengend Snippet: FIGURE 1 | (a) Three computational models starting from the left, Able-Bodied, Ideal Prosthesis, and Full Prosthesis, using different kinematics reference inputs (able-body and amputee) to produce the gait's dynamics. For the preliminary results of the study, the models solely represent the leg of an individual during the swing phase and use data from [27] as the reference input. (b) Prosthetic Knee Model designed in SIMSCAPE MULTIBODY and its description, the yellow segment is fixed to the thigh, and the blue segment rotates about point A. Points B and C are connected by a spring and damper, the natural position of the knee has the two segments perpendicular to each other.

Article Snippet: These models provide the joint kinetics outputs O1, O2, and O3, respectively, required for achieving able- bodied gait as conceptually depicted in Figure 1a The results of this paper were obtained by models developed in the SIMSCAPE MULTIBODY environment in MATLAB SIMULINK (R2021a, The MathWorks, Natick, MA).

Techniques:

Journal: Data in Brief

Article Title: Dataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systems

doi: 10.1016/j.dib.2024.111200

Figure Lengend Snippet:

Article Snippet: Data collection , The data were collected using real-time simulations in MATLAB/Simscape (R2024a and R2024b). Deep Reinforcement Learning (DRL) agent known as Proximal Policy Optimization (PPO), was implemented to generate noise signals. These simulations focused on disrupting State of Charge (SoC) and State of Health (SoH) estimations using Unscented Kalman Filters (UKF) in Battery Energy Storage Systems (BESS). The dataset includes only those scenarios where noise signals successfully impacted the estimation accuracy..

Techniques: Battery, Biomarker Discovery