From 4091919bde1a4f002e9789c8aa7dea90a5b35cb7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?P=C3=A9ter=20Szabolcs=20M=C3=A1ty=C3=A1s?=
<peter.szabolcs.matyas@hallgato.ppke.hu>
Date: Fri, 15 Nov 2024 14:19:11 +0000
Subject: [PATCH] Excel to EDF
---
excel_to_edf.py | 46 ++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 46 insertions(+)
create mode 100644 excel_to_edf.py
diff --git a/excel_to_edf.py b/excel_to_edf.py
new file mode 100644
index 0000000..05b8866
--- /dev/null
+++ b/excel_to_edf.py
@@ -0,0 +1,46 @@
+import pandas as pd
+import pyedflib
+import numpy as np
+
+def convert_excel_to_edf(excel_path, edf_output_path):
+ excel_data = pd.ExcelFile(excel_path) #Excel megnyitása
+
+ recordings_data = excel_data.parse('Recordings') #A két munkalap betöltése
+ patients_data = excel_data.parse('Patients')
+
+ patient_data = patients_data.iloc[0].to_dict() # Az első sorból kiszedi az adatokat
+ patient_name = patient_data.get('Name', 'N/A')
+ patient_birthdate = patient_data.get('Birthdate', 'N/A')
+ patient_sex = patient_data.get('Sex', 'N/A')
+ patient_ID = patient_data.get ('ID', 'N/A')
+ record_date = patient_data.get ('Recording_date', 'N/A')
+ record_lenght = patient_data.get ('Record_lenght', 'N/A')
+ patient_height = patient_data.get ('Height', 'N/A')
+ patient_weight = patient_data.get ('Weight', 'N/A')
+ notes = patient_data.get ('Notes', 'N/A')
+
+ # if pd.isna(patient_birthdate):
+ # patient_birthdate = 'N/A'
+ # else:
+ # patient_birthdate = str(patient_birthdate.date())
+
+ # Jeladatok kinyerése
+ signal_labels = recordings_data.columns.tolist()
+ signals = [recordings_data[col].to_numpy() for col in signal_labels]
+
+ # EDF létrehozása
+ with pyedflib.EdfWriter(edf_output_path, len(signals), file_type=pyedflib.FILETYPE_EDFPLUS) as edf:
+ # # Header beállítása
+ # edf.setHeader({
+
+ # })
+
+
+
+if __name__ == "__main__":
+
+ excel_path = "test_generator2.xlsx"
+
+ edf_output_path = "output_data.edf"
+
+ convert_excel_to_edf(excel_path, edf_output_path)
--
GitLab