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Read guide →def detect_old_mi_ecg(ecg_leads): """ Simple rule-based old MI detection (educational only). Checks for pathological Q waves in inferior leads (II, III, aVF). """ # Assuming ecg_leads is a dict with lead names and lists of sample values # Pathological Q wave: duration > 0.04 sec and amplitude > 0.1 mV mi_found = False mi_leads = []
I notice you're asking for a feature regarding "old MI ECG" — likely an feature for a medical or clinical application.
for lead in ['II', 'III', 'aVF']: q_wave_duration = measure_q_duration(ecg_leads[lead]) # hypothetical q_wave_depth = measure_q_depth(ecg_leads[lead]) # hypothetical if q_wave_duration > 0.04 and q_wave_depth > 0.1: mi_found = True mi_leads.append(lead)
return { "old_mi_suspected": mi_found, "affected_leads": mi_leads, "note": "Pathological Q waves suggest prior inferior MI. Clinical correlation required." }
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def detect_old_mi_ecg(ecg_leads): """ Simple rule-based old MI detection (educational only). Checks for pathological Q waves in inferior leads (II, III, aVF). """ # Assuming ecg_leads is a dict with lead names and lists of sample values # Pathological Q wave: duration > 0.04 sec and amplitude > 0.1 mV mi_found = False mi_leads = []
I notice you're asking for a feature regarding "old MI ECG" — likely an feature for a medical or clinical application. old mi ecg
for lead in ['II', 'III', 'aVF']: q_wave_duration = measure_q_duration(ecg_leads[lead]) # hypothetical q_wave_depth = measure_q_depth(ecg_leads[lead]) # hypothetical if q_wave_duration > 0.04 and q_wave_depth > 0.1: mi_found = True mi_leads.append(lead) for lead in ['II', 'III', 'aVF']: q_wave_duration =
return { "old_mi_suspected": mi_found, "affected_leads": mi_leads, "note": "Pathological Q waves suggest prior inferior MI. Clinical correlation required." } for lead in ['II'
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