Batch analyze OpenSim session data

Loads an OpenSim session and performs batch movement analysis using a TaskSchema for event detection and normalization.

Usage

batch_analyze_opensim(
  session_dir,
  schema,
  signal_mapping = list(),
  trials = NULL,
  normalize_method = NULL,
  ...
)

Arguments

session_dir

Directory containing OpenSim output files, or an opensim_session/opensim_workflow object from signalIO

schema

A TaskSchema object defining events and phases

signal_mapping

Named list mapping schema signal names to actual channel names in the data

trials

Character vector of trial names to analyze. If NULL, analyzes all.

normalize_method

Override schema normalization method

...

Additional arguments passed to normalizeMovement

Value

A list containing:

• trials: List of normalized trial data

• events: List of detected events per trial

• phases: List of phase timing per trial

• summary: Summary statistics across trials

Details

Requires a native OpenSim installation (SystemRequirements: OpenSim) and setup/model files, so the example cannot run offline and is not executed.

References

Delp SL, Anderson FC, Arnold AS, Loan P, Habib A, John CT, Guendelman E, Thelen DG (2007). "OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement." IEEE Transactions on Biomedical Engineering, 54(11), 1940-1950.

See also

create_schema_from_opensim() for creating task schemas from OpenSim models.

Examples

if (FALSE) { # \dontrun{
library(signalIO)

# Load session and analyze
results <- batch_analyze_opensim(
  "subject01/",
  schema = schema_gait,
  signal_mapping = list(vGRF = "ground_force_vy_r")
)

# Access normalized trials
trial1 <- results$trials[[1]]

# View summary
print(results$summary)
} # }