This is my ECG Male 22yrs Weight 81kg Mild smoker
python3 -c " import pdfplumber path = '/tmp/workspace/attachments/e701849b-e76f-4552-a3fd-4ddce9c04de3/Health - Pratik Nagare - ECG 2026-07-31 at 05.07.pdf' with pdfplumber.open(path) as pdf: print(f'Pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): print(f'--- Page {i+1} ---') text = page.extract_text() print(text) print() "
python3 -c " import pdfplumber from PIL import Image import io path = '/tmp/workspace/attachments/e701849b-e76f-4552-a3fd-4ddce9c04de3/Health - Pratik Nagare - ECG 2026-07-31 at 05.07.pdf' with pdfplumber.open(path) as pdf: page = pdf.pages[0] images = page.images print(f'Number of images: {len(images)}') for img in images: print(img) "
python3 -c " import subprocess, sys # Try pymupdf (fitz) for PDF rendering try: import fitz print('fitz available') except ImportError: print('fitz not available') # Try pdf2image try: from pdf2image import convert_from_path print('pdf2image available') except ImportError: print('pdf2image not available') # Try pypdf try: from pypdf import PdfReader print('pypdf available') except ImportError: print('pypdf not available') "
python3 -c " from pdf2image import convert_from_path import os path = '/tmp/workspace/attachments/e701849b-e76f-4552-a3fd-4ddce9c04de3/Health - Pratik Nagare - ECG 2026-07-31 at 05.07.pdf' os.makedirs('/tmp/workspace/ecg_render', exist_ok=True) images = convert_from_path(path, dpi=200) for i, img in enumerate(images): out = f'/tmp/workspace/ecg_render/ecg_page_{i+1}.png' img.save(out, 'PNG') print(f'Saved: {out}, size: {img.size}') "
ECG Analysis - Pratik Nagare | 21 yrs | Male | 81 kg | Mild Smoker
Device Report
- Sinus Rhythm - 91 BPM Average
- No signs of atrial fibrillation detected
Waveform Analysis (Lead I, 30-second strip)
- Regular sinus rhythm throughout all three strips (0-29 seconds)
- Rate: ~91 BPM - upper end of normal, consistent with someone waking up at 5:07 AM or mild physiological arousal
- Beat-to-beat interval is consistent with no significant variability suggestive of arrhythmia
- Present and precede every QRS complex - confirming sinus origin
- Appear upright in Lead I (expected for sinus rhythm), small but identifiable before each QRS
- Appears within normal range (~120-200 ms) - no evidence of heart block or pre-excitation (no delta waves visible)
- Narrow QRS complexes throughout - normal duration (< 120 ms)
- Morphology: upright, tall and relatively narrow peaks - appropriate for Lead I
- No bundle branch block pattern
- No abnormally wide or bizarre-looking beats
- No obvious ST elevation or depression visible in Lead I
- Isoelectric baseline between QRS and T wave
- Upright T waves following each QRS - normal polarity for Lead I
- No T wave inversion, peaked T waves, or flattening
- There are slight beat-to-beat amplitude variations in some complexes, which is normal (respiratory variation / physiological)
- The rhythm is slightly on the faster end at 91 BPM but well within sinus range
- No ectopic beats, no premature ventricular contractions (PVCs), no pauses
Important Limitations to Know
| What it CAN detect | What it CANNOT detect |
|---|---|
| Atrial fibrillation | Heart attacks (MI) |
| Bradycardia / Tachycardia | Right/left bundle branch blocks |
| Normal vs abnormal rhythm | ST changes in most leads |
| Right/left ventricular hypertrophy | |
| Ischemia in inferior/posterior leads |
Summary
- Just waking up / incomplete sleep
- Mild anxiety or sympathetic activation at the time of recording
- Effect of nicotine from smoking (even mild smoking raises resting HR)
- Mild dehydration
⚠️ Disclaimer: This analysis is informational only and does not constitute medical advice. ECG interpretation requires clinical context and should be reviewed by a qualified physician. If you have any cardiac symptoms, please consult a doctor.
My apple watch is series 10
Watch7,11 as the device identifier — that's actually the internal model code Apple uses. Let me clarify:- Watch7,11 is indeed the internal identifier for Apple Watch Series 10 (the Series 10 uses model identifiers in the Watch7,x range)
- It's running watchOS 26.6 and iOS 26.6, which are the latest 2026 software versions
- Thinner form factor but same ECG electrode capability
- Same FDA-cleared AFib detection algorithm
- The Series 10 added sleep apnea detection (separate from ECG)
- ECG is still Lead I equivalent only — the 12-lead limitation mentioned in my analysis still applies