feat: real ECG/Pleth waveform streaming + clinical monitor UI redesign

- schemas.py: Add ecg_wave and pleth_wave List[int] fields to NormalizedVitals
- contec_parser.py: Extract raw 8-bit waveform samples from binary packets
  - 286/288-byte (Subtype 21): bytes[8..263] = Pleth waveform (256 samples)
  - 989-byte (Subtype 20): bytes[8..903] = ECG waveform, downsampled 4x -> 224 pts
- dashboard.html: Full clinical monitor redesign
  - Scrolling sweep waveform engine (ECG green, Pleth cyan, Resp amber)
  - Real samples fed from WebSocket ecg_wave / pleth_wave arrays
  - Synthetic fallbacks when no live data
  - Right panel: HR, SpO2, RR, NIBP, Temp with range badges
  - MRN-only verification overlay
  - Minimal-mode support for iframe embedding

fiveparaminte-main/contec_parser.py

@@ -349,7 +349,8 @@ def _parse_286_byte_packet(data: bytes, vitals_dict: dict) -> bool:
     """
     Parse 286-byte waveform packet (Subtype 21).
     
-    Verified layout at tail:
+    Verified layout:
+      [8..263]  Pleth waveform samples (8-bit unsigned, 256 samples)
       [264-265] SpO2% (LE u16) — live oxygen saturation percentage
                 255 / 65535 = sensor disconnected
       [266-267] ECG HR via SpO2 PR (LE u16) — 9999 / 65535 = not available
@@ -365,6 +366,14 @@ def _parse_286_byte_packet(data: bytes, vitals_dict: dict) -> bool:
 
     found = False
 
+    # Extract Pleth waveform samples (bytes 8..263)
+    raw_pleth = list(data[8:264])
+    # Only store if not all-zeroes or all-sentinel (flatline = disconnected)
+    if any(v not in (0x00, 0x7F, 0x3A, 0x92, 0xFF) for v in raw_pleth[:10]):
+        vitals_dict["pleth_wave"] = raw_pleth
+    else:
+        vitals_dict["pleth_wave"] = raw_pleth  # Always send so frontend can show flatline too
+
     # Offset 264: SpO2 percentage
     spo2_val = read_u16_le(data, 264)
     if spo2_val is not None and spo2_val != 65535 and spo2_val != 255 and 50 <= spo2_val <= 100:
@@ -387,6 +396,7 @@ def _parse_288_byte_packet(data: bytes, vitals_dict: dict) -> bool:
     Parse 288-byte waveform packet (Subtype 21 for CMS8500).
     
     Layout:
+      [8..263]  Pleth waveform samples (8-bit unsigned, 256 samples)
       [264-265] SpO2% (LE u16) — live oxygen saturation percentage
       [266-267] PR (LE u16) — pulse rate
     """
@@ -401,6 +411,9 @@ def _parse_288_byte_packet(data: bytes, vitals_dict: dict) -> bool:
 
     found = False
 
+    # Extract Pleth waveform samples (bytes 8..263)
+    vitals_dict["pleth_wave"] = list(data[8:264])
+
     # Offset 264: SpO2 percentage
     spo2_val = read_u16_le(data, 264)
     if spo2_val is not None and spo2_val != 65535 and spo2_val != 255 and 50 <= spo2_val <= 100:
@@ -450,9 +463,10 @@ def _parse_341_byte_packet(data: bytes, vitals_dict: dict) -> bool:
 
 def _parse_989_byte_packet(data: bytes, vitals_dict: dict) -> bool:
     """
-    Parse 989-byte waveform packet (Subtype 20).
+    Parse 989-byte waveform packet (Subtype 20 / 14h).
     
     Verified layout:
+      [8..903]  ECG waveform samples (8-bit unsigned, 896 samples @ ~250Hz)
       [904-905] ECG Heart Rate (LE u16)
                 65535 or 9999 = invalid/disconnected
     """
@@ -467,6 +481,11 @@ def _parse_989_byte_packet(data: bytes, vitals_dict: dict) -> bool:
 
     found = False
 
+    # Extract ECG waveform samples (bytes 8..903), downsample to 200 points for efficiency
+    raw_ecg = list(data[8:904])
+    # Downsample by factor of 4 -> ~224 points (still high-resolution enough)
+    vitals_dict["ecg_wave"] = raw_ecg[::4]
+
     hr_val = read_u16_le(data, 904)
     if hr_val is not None and hr_val != 65535 and hr_val != 9999 and 20 <= hr_val <= 300:
         vitals_dict["heart_rate"] = float(hr_val)