Upload 5 files

app.py

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+import streamlit as st
+import matplotlib.pyplot as plt
+import pandas as pd
+import numpy as np
+
+# Set streamlit configuration with wide mode
+st.set_page_config(layout="wide")
+st.config.set_option("server.enableXsrfProtection", False)
+
+def plot_signal(signal, index):
+    # Assuming df is your DataFrame and 'Signal1', 'Signal2', 'Signal3' are your columns
+    ch1 = pd.to_numeric(signal[index], errors='coerce')
+
+    # Define the moving average window size
+    N = 25
+
+    # Function to calculate moving RMS
+    def moving_rms(signal, window_size):
+        return np.sqrt(pd.Series(signal).rolling(window=window_size).mean()**2)
+
+    # Calculate moving RMS for each channel
+    ch1_rms = moving_rms(ch1, N)
+
+    # Calculate mean and standard deviation of the RMS signals
+    mean_ch1_rms = np.mean(ch1_rms)
+    std_ch1_rms = np.std(ch1_rms)
+
+    # Print mean and standard deviation values
+    st.write(f'Mean of RMS Signal {int(index)}: {mean_ch1_rms:.3f},   Std Dev of RMS Signal 1: {std_ch1_rms:.3f}')
+    
+    # Plot the RMS signals
+    plt.figure(figsize=(15,6))
+    plt.plot(ch1_rms, label='Signal 1 RMS')
+    plt.title('RMS Signal Values, Moving Average Window Size N=25')
+    plt.xlabel('Index')
+    plt.ylabel('RMS Value')
+    plt.legend()
+    st.pyplot(plt.gcf())
+    # plt.show()
+
+      
+def main():
+    st.title('👅Dysphagia Analysis - by ITRI BDL')
+    uploaded_file1 = st.file_uploader("Choose the EMG_data CSV file", type="csv")
+    uploaded_file2 = st.file_uploader("Choose the time_marker CSV file", type="csv")
+    if uploaded_file1 is not None:
+        try:
+            data1 = pd.read_csv(uploaded_file1, skiprows=[0,1,3,4])
+            # st.dataframe(data1)
+        except Exception as e:
+            st.error(f"Error: {e}")
+        
+    if uploaded_file2 is not None:    
+        try:
+            data2 = pd.read_csv(uploaded_file2, skiprows=[0,1])
+            # st.dataframe(data2)
+        except Exception as e:
+            st.error(f"Error: {e}")
+            
+    # Detect Upload File and choose signal with sidebar menu
+    if uploaded_file1 is not None and uploaded_file2 is not None:
+        signal = st.sidebar.selectbox('Select EMG Signal', data1.columns)
+        st.write(f'You selected: channel {signal}')
+        
+        # Plot the selected signal
+        st.line_chart(data1[signal])
+        
+        # Analysis button        
+        if st.button('Start Analysis'):
+            st.write('Analysis started...')
+            # Add analysis code here
+            plot_signal(data1, signal)
+            st.write('Analysis completed...')
+    
+        
+if __name__ == '__main__':
+    main()

test-1/time_marker.csv

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+Abs_time(us),0-New_Task-recording_time(us),topic,type,name,uuid,signal,description,color,order,tag
+1700714106720311.0,32030195.0,keyboard/z,keyboard,bite,8c635c9f-5269-4adf-b3e9-c22542516934,z,,#9be5e5,11,start
+1700714130984351.0,56294235.0,keyboard/z,keyboard,bite,99e3242e-d0da-4d78-83f9-5141851f07af,z,,#9be5e5,11,end
+1700714134974650.0,60284534.0,keyboard/x,keyboard,swallow,5ade9d52-e4a3-43be-8b35-8cc078f3d253,x,,#fab6b6,12,start
+1700714137168959.0,62478843.0,keyboard/x,keyboard,swallow,bfe88eb4-2eae-4fe9-afbe-0c3eb807d5fe,x,,#fab6b6,12,end
+1700714142582792.0,67892676.0,keyboard/x,keyboard,swallow,5ade9d52-e4a3-43be-8b35-8cc078f3d253,x,,#fab6b6,13,start
+1700714143906548.0,69216432.0,keyboard/x,keyboard,swallow,bfe88eb4-2eae-4fe9-afbe-0c3eb807d5fe,x,,#fab6b6,13,end
+1700714146586760.0,71896644.0,keyboard/x,keyboard,swallow,5ade9d52-e4a3-43be-8b35-8cc078f3d253,x,,#fab6b6,14,start
+1700714147725033.0,73034917.0,keyboard/x,keyboard,swallow,bfe88eb4-2eae-4fe9-afbe-0c3eb807d5fe,x,,#fab6b6,14,end
+1700714151788953.0,77098837.0,keyboard/c,keyboard,cough,722bfb5a-b5e9-49be-aa5b-2f3fee9a8638,c,,#baeea0,15,start
+1700714154031673.0,79341557.0,keyboard/c,keyboard,cough,1997a384-f25c-4449-8241-c0ff032ae4b3,c,,#baeea0,15,end
+1700714157407981.0,82717865.0,keyboard/c,keyboard,cough,722bfb5a-b5e9-49be-aa5b-2f3fee9a8638,c,,#baeea0,16,start
+1700714158682385.0,83992269.0,keyboard/c,keyboard,cough,1997a384-f25c-4449-8241-c0ff032ae4b3,c,,#baeea0,16,end
+1700714161034645.0,86344529.0,keyboard/c,keyboard,cough,722bfb5a-b5e9-49be-aa5b-2f3fee9a8638,c,,#baeea0,17,start
+1700714162842739.0,88152623.0,keyboard/c,keyboard,cough,1997a384-f25c-4449-8241-c0ff032ae4b3,c,,#baeea0,17,end

test-2/time_marker.csv

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+Abs_time(us),0-New_Task-recording_time(us),topic,type,name,uuid,signal,description,color,order,tag
+1700713793991735.0,30286818.0,keyboard/z,keyboard,bite,8c635c9f-5269-4adf-b3e9-c22542516934,z,,#9be5e5,5,start
+1700713816501425.0,52796508.0,keyboard/z,keyboard,bite,99e3242e-d0da-4d78-83f9-5141851f07af,z,,#9be5e5,5,end
+1700713820622296.0,56917379.0,keyboard/x,keyboard,swallow,5ade9d52-e4a3-43be-8b35-8cc078f3d253,x,,#fab6b6,6,start
+1700713821988158.0,58283241.0,keyboard/x,keyboard,swallow,bfe88eb4-2eae-4fe9-afbe-0c3eb807d5fe,x,,#fab6b6,6,end
+1700713824999100.0,61294183.0,keyboard/x,keyboard,swallow,5ade9d52-e4a3-43be-8b35-8cc078f3d253,x,,#fab6b6,7,start
+1700713826299090.0,62594173.0,keyboard/x,keyboard,swallow,bfe88eb4-2eae-4fe9-afbe-0c3eb807d5fe,x,,#fab6b6,7,end
+1700713831028230.0,67323313.0,keyboard/x,keyboard,swallow,5ade9d52-e4a3-43be-8b35-8cc078f3d253,x,,#fab6b6,8,start
+1700713834021668.0,70316751.0,keyboard/x,keyboard,swallow,bfe88eb4-2eae-4fe9-afbe-0c3eb807d5fe,x,,#fab6b6,8,end
+1700713839296238.0,75591321.0,keyboard/c,keyboard,cough,722bfb5a-b5e9-49be-aa5b-2f3fee9a8638,c,,#baeea0,9,start
+1700713841111273.0,77406356.0,keyboard/c,keyboard,cough,1997a384-f25c-4449-8241-c0ff032ae4b3,c,,#baeea0,9,end
+1700713843632670.0,79927753.0,keyboard/c,keyboard,cough,722bfb5a-b5e9-49be-aa5b-2f3fee9a8638,c,,#baeea0,10,start
+1700713845941739.0,82236822.0,keyboard/c,keyboard,cough,1997a384-f25c-4449-8241-c0ff032ae4b3,c,,#baeea0,10,end