diff --git a/human_experiments/synchronize_signal_task/process_fnirs_eeg_1000hz.py b/human_experiments/synchronize_signal_task/process_fnirs_eeg_1000hz.py
new file mode 100644
index 000000000..3ec6995a2
--- /dev/null
+++ b/human_experiments/synchronize_signal_task/process_fnirs_eeg_1000hz.py
@@ -0,0 +1,47 @@
+import os
+
+from common import remove_columns_all_exp
+from config import DB_PATH, FNIRS_FILTERED_PATH, NUM_PROCESSES, EXPERIMENT_SESSIONS, OUTPUT_DIR, EEG_FILTERED_PATH
+from read_data import read_raw_csv_all
+from signal_synchronization import prepare_synchronization_data, synchronize_signals_all
+from task_synchronization import synchronize_task_signal_all, prepare_task_synchronization_data
+from write_data import write_csv_all
+
+if __name__ == "__main__":
+    desired_freq = 1000
+
+    experiment_fnirs_signal = read_raw_csv_all(FNIRS_FILTERED_PATH, NUM_PROCESSES, EXPERIMENT_SESSIONS)
+    experiment_eeg_signal = read_raw_csv_all(EEG_FILTERED_PATH, NUM_PROCESSES, EXPERIMENT_SESSIONS)
+
+    columns_to_remove = [
+        "group_session",
+        "station",
+        "task",
+        "participant",
+        "timestamp_iso8601"
+    ]
+
+    remove_columns_all_exp(experiment_fnirs_signal, columns_to_remove)
+    remove_columns_all_exp(experiment_eeg_signal, columns_to_remove)
+
+    signal_type_info = [
+        {
+            "signal_type": "fnirs",
+            "experiment_signals": experiment_fnirs_signal,
+            "recording_frequency": 10,
+        },
+        {
+            "signal_type": "eeg",
+            "experiment_signals": experiment_eeg_signal,
+            "recording_frequency": 500,
+        }
+    ]
+
+    sync_experiments_info = prepare_synchronization_data(signal_type_info, desired_freq)
+    synchronized_signals = synchronize_signals_all(sync_experiments_info)
+
+    task_synchronization_info = prepare_task_synchronization_data(synchronized_signals, DB_PATH, NUM_PROCESSES)
+    synchronized_task_signals = synchronize_task_signal_all(task_synchronization_info)
+
+    output_dir = os.path.join(OUTPUT_DIR, f"fnirs_eeg_{desired_freq}hz")
+    write_csv_all(synchronized_task_signals, output_dir, NUM_PROCESSES)
diff --git a/human_experiments/synchronize_signal_task/process_fnirs_eeg_120hz.py b/human_experiments/synchronize_signal_task/process_fnirs_eeg_120hz.py
new file mode 100644
index 000000000..80b567ce4
--- /dev/null
+++ b/human_experiments/synchronize_signal_task/process_fnirs_eeg_120hz.py
@@ -0,0 +1,47 @@
+import os
+
+from common import remove_columns_all_exp
+from config import DB_PATH, FNIRS_FILTERED_PATH, NUM_PROCESSES, EXPERIMENT_SESSIONS, OUTPUT_DIR, EEG_FILTERED_PATH
+from read_data import read_raw_csv_all
+from signal_synchronization import prepare_synchronization_data, synchronize_signals_all
+from task_synchronization import synchronize_task_signal_all, prepare_task_synchronization_data
+from write_data import write_csv_all
+
+if __name__ == "__main__":
+    desired_freq = 120
+
+    experiment_fnirs_signal = read_raw_csv_all(FNIRS_FILTERED_PATH, NUM_PROCESSES, EXPERIMENT_SESSIONS)
+    experiment_eeg_signal = read_raw_csv_all(EEG_FILTERED_PATH, NUM_PROCESSES, EXPERIMENT_SESSIONS)
+
+    columns_to_remove = [
+        "group_session",
+        "station",
+        "task",
+        "participant",
+        "timestamp_iso8601"
+    ]
+
+    remove_columns_all_exp(experiment_fnirs_signal, columns_to_remove)
+    remove_columns_all_exp(experiment_eeg_signal, columns_to_remove)
+
+    signal_type_info = [
+        {
+            "signal_type": "fnirs",
+            "experiment_signals": experiment_fnirs_signal,
+            "recording_frequency": 10,
+        },
+        {
+            "signal_type": "eeg",
+            "experiment_signals": experiment_eeg_signal,
+            "recording_frequency": 500,
+        }
+    ]
+
+    sync_experiments_info = prepare_synchronization_data(signal_type_info, desired_freq)
+    synchronized_signals = synchronize_signals_all(sync_experiments_info)
+
+    task_synchronization_info = prepare_task_synchronization_data(synchronized_signals, DB_PATH, NUM_PROCESSES)
+    synchronized_task_signals = synchronize_task_signal_all(task_synchronization_info)
+
+    output_dir = os.path.join(OUTPUT_DIR, f"fnirs_eeg_{desired_freq}hz")
+    write_csv_all(synchronized_task_signals, output_dir, NUM_PROCESSES)