File size: 622 Bytes
8ed1de7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | import json
import pandas as pd
# 1. Load metadata
metadata = pd.read_csv('../metadata.csv')
# 2. Load patient data via manifest
with open('../data/manifest.json', 'r') as f:
manifest = json.load(f)
# 3. Load a specific patient
patient_id = 1
entry = next(e for e in manifest['files'] if e['patient_id'] == patient_id)
with open(f"../data/{entry['file']}", 'r') as f:
patient_data = json.load(f)
# 4. Extract eNose signals
for sensor in patient_data['sensors']:
if sensor['id'] == 'enose':
for channel in sensor['channels']:
print(f"{channel['id']}: {len(channel['samples'])} samples")
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