IMU-based Impact Prediction

Computes bone stress from IMU acceleration/angular velocity data and propagates it through the MSK incidence matrix to predict muscle vulnerability.

Usage

imuImpactPrediction(
  imu_data,
  hg = NULL,
  mapping = NULL,
  stress_metric = c("acceleration", "angular_velocity", "jerk", "composite"),
  use_proxy = TRUE
)

Arguments

imu_data

A named list of per-sensor data, or a matrix (see imuNetworkKinematics for formats).

hg

An MSKHypergraph object (NULL loads default).

mapping

Pre-computed mapping (optional).

stress_metric

Character: "acceleration" (peak linear acceleration), "angular_velocity" (peak angular velocity), "jerk" (peak rate of change of acceleration), "composite" (weighted combination of acceleration + angular velocity).

use_proxy

Logical, use degree-based proxy for impact deviation (faster) or run full simulation.

Value

A list with:

vulnerability

Named numeric vector of muscle vulnerability scores

bone_stress

Named numeric vector of bone stress

muscle_stress_exposure

Named numeric of stress propagated to muscles

ranking

Data frame ranked by vulnerability (descending)