IMU-based Community Dynamics

Analyzes movement synchrony from IMU sensors in the context of MSK network communities. Computes within-community vs between-community sensor synchrony and tests for significance.

Usage

imuCommunityDynamics(
  imu_data,
  hg = NULL,
  gamma = 4.3,
  mapping = NULL,
  window_sec = NULL
)

Arguments

imu_data

Named list of per-sensor data (see imuNetworkKinematics).

hg

An MSKHypergraph object (NULL loads default).

gamma

Numeric, resolution parameter for community detection (default 4.3).

mapping

Pre-computed mapping (optional).

window_sec

Numeric or NULL. If provided, computes time-resolved synchrony in sliding windows of this duration (seconds). Requires sampling_rate attribute on sensor data.

Value

A list with:

within_community_sync

Mean synchrony within communities

between_community_sync

Mean synchrony between communities

ratio

Within/between ratio

p_value

Wilcoxon test p-value

time_resolved

Data frame if window_sec provided, NULL otherwise