Acoustic Frequency Following Response (FFR) Skill
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Acoustic Frequency Following Response (FFR) Skill
Zero-dependency sovereign personal agent skill for non-invasive evaluation of Auditory Brainstem Frequency Following Response (FFR) Phase-Locking Value (PLV), SNR, and subcortical temporal envelope encoding fidelity.
flowchart TD
PeriodicSound["Periodic Speech Vowel / Pitch Stimulus (F0 100-300 Hz)"] --> Cochlea["Cochlear Afferent Synchrony & Auditory Nerve Fibers"]
Cochlea --> InferiorColliculus["Upper Brainstem Inferior Colliculus Phase-Locking"]
InferiorColliculus --> FFR_Signal["Continuous Scalp-Recorded FFR Potential (Microvolts)"]
FFR_Signal --> PhaseCoherence["Phase-Locking Value (PLV) & Signal-to-Noise Ratio (SNR)"]
PhaseCoherence --> TemporalScore["Subcortical Auditory Fidelity & Speech-in-Noise Score"]
TemporalScore --> Agent["OpenClaw / Hermes Personal Agent Sound Masking Protection"]Features
Deterministic Math: Pure Python standard library implementation with zero external dependencies.
Auditory Electrophysiology Standards: Implements validated equations for brainstem FFR amplitude, inter-trial phase-locking value (PLV), and stimulus cross-correlation.
Hidden Hearing Loss & Synaptopathy Shield: Sensitive detection of auditory brainstem temporal jitter prior to pure-tone threshold loss.
Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.
Related MCP server: Auditory Binaural Masking Level Difference (BMLD) MCP Server
Quickstart
from client import AcousticFrequencyFollowingResponseClient
client = AcousticFrequencyFollowingResponseClient()
result = client.evaluate_ffr(
stimulus_fundamental_freq_hz=150.0,
ffr_amplitude_uv=0.42,
phase_locking_value=0.79,
signal_to_noise_ratio_db=9.4
)
print("Phase-Locking Value:", result["phase_locking_value"])
print("Precision Score:", result["subcortical_precision_score"])
print("Classification:", result["classification"])License
Apache-2.0
This server cannot be deployed
Maintenance
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