diff --git a/src/probeinterface/io.py b/src/probeinterface/io.py
index d3d7c5e..752a4fe 100644
--- a/src/probeinterface/io.py
+++ b/src/probeinterface/io.py
@@ -510,6 +510,7 @@ def read_maxwell(file: str | Path, well_name: str = "well000", rec_name: str = "
 
     h5py = import_safely("h5py")
     my_file = h5py.File(file, mode="r")
+    version = int(my_file["version"][0].decode())
 
     if "mapping" in my_file.keys():
         mapping = my_file["mapping"][:]
@@ -518,10 +519,28 @@ def read_maxwell(file: str | Path, well_name: str = "well000", rec_name: str = "
 
     prb = {"channel_groups": {1: {}}}
 
-    channels = list(mapping["channel"])
-    electrodes = list(mapping["electrode"])
-    x_pos = list(mapping["x"])
-    y_pos = list(mapping["y"])
+    channels = np.array(mapping["channel"])
+    electrodes = np.array(mapping["electrode"])
+    assert len(channels) == len(electrodes)
+    mask = np.full(len(channels), True, dtype=bool)
+
+    # remove all duplicate channel assigments corresponding to different electrodes (channel is a mix of mulitple electrode signals)
+    mask_id = np.argwhere(mask).flatten()
+    [u, u_c] = np.unique(channels[mask], return_counts=True)
+    for i in np.argwhere(u_c > 1).flatten():
+        mask[mask_id[np.argwhere(channels[mask] == u[i])[:].flatten()]] = False
+
+    # remove subsequent duplicated electrodes (single electrode saved to multiple channels)
+    mask_id = np.argwhere(mask).flatten()
+    [u, u_c] = np.unique(electrodes[mask], return_counts=True)
+    for i in np.argwhere(u_c > 1).flatten():
+        mask[mask_id[np.argwhere(electrodes[mask] == u[i])[1:].flatten()]] = False
+
+    channels = channels[mask]
+    electrodes = electrodes[mask]
+    x_pos = np.array(mapping["x"])[mask]
+    y_pos = np.array(mapping["y"])[mask]
+
     geometry = {}
     for c, x, y in zip(channels, x_pos, y_pos):
         geometry[c] = [x, y]
@@ -536,9 +555,23 @@ def read_maxwell(file: str | Path, well_name: str = "well000", rec_name: str = "
     chans = np.array(prb["channel_groups"][1]["channels"], dtype="int64")
     positions = np.array([prb["channel_groups"][1]["geometry"][c] for c in chans], dtype="float64")
 
-    probe.set_contacts(positions=positions, shapes="rect", shape_params={"width": 5.45, "height": 9.3})
-    probe.annotate_contacts(electrode=electrodes)
-    probe.set_planar_contour(([-12.5, -12.5], [3845, -12.5], [3845, 2095], [-12.5, 2095]))
+    if version <= 20160704:
+        probe.set_contacts(positions=positions, shapes="rect", shape_params={"width": 5.45, "height": 9.3})
+        probe.annotate_contacts(electrode=electrodes)
+        probe.set_planar_contour(([-12.5, -12.5], [3845, -12.5], [3845, 2095], [-12.5, 2095]))
+    else:
+        e_w = 8.75
+        e_h = 12.5
+        probe.set_contacts(positions=positions, shapes="rect", shape_params={"width": e_w, "height": e_h})
+        probe.annotate_contacts(electrode=electrodes)
+        probe.set_planar_contour(
+            (
+                [-e_w / 2, -e_h / 2],
+                [3832.5 + e_w / 2, -e_h / 2],
+                [3832.5 + e_w / 2, 2082.5 + e_h / 2],
+                [-e_w / 2, 2082.5 + e_h / 2],
+            )
+        )
 
     probe.set_device_channel_indices(np.arange(positions.shape[0]))