`); }function exportSessionData() { const data = { timestamp: new Date().toISOString(), scenario: currentScenario, session: currentSession, channelData: channelData, settings: { strategy: document.getElementById('strategySelect').value, idr: document.getElementById('idrRange').value, beamforming: document.getElementById('beamforming').checked, noiseReduction: document.getElementById('noiseReduction').checked }, sessionData: sessionData }; const blob = new Blob([JSON.stringify(data, null, 2)], { type: 'application/json' }); const url = URL.createObjectURL(blob); const a = document.createElement('a'); a.href = url; a.download = `medel_simulator_${currentScenario}_${currentSession}_${new Date().toISOString().split('T')[0]}.json`; a.click(); URL.revokeObjectURL(url); showNotification('Veri dışa aktarıldı'); }function showNotification(message) { const notification = document.createElement('div'); notification.className = 'fixed top-4 right-4 bg-blue-600 text-white px-6 py-3 rounded-lg shadow-lg z-50'; notification.textContent = message; document.body.appendChild(notification); setTimeout(() => { notification.remove(); }, 3000); }// Initialize initializeChannels(); updateFrequencyMapping(); updateElectrodePositions(); // Update audiogram function updateAudiogram() { const thresholds = [30, 30, 32, 35, 40, 45]; // Example thresholds const points = thresholds.map((thresh, i) => { const x = 30 + i * 40; const y = 20 + (thresh / 80) * 80; // Scale to SVG coordinates return `${x},${y}`; }).join(' '); document.getElementById('audiogramLine').setAttribute('d', `M ${points.replace(/,/g, ' L ')}`); } updateAudiogram();