Tensor electrical impedance myography identifies clinically relevant features in amyotrophic lateral sclerosis

Objective. Electrical impedance myography (EIM) shows promise as an effective biomarker in
amyotrophic lateral sclerosis (ALS). EIM applies multiple input frequencies to characterise muscle
properties, often via multiple electrode configurations. Herein, we assess if non-negative tensor
factorisation (NTF) can provide a framework for identifying clinically relevant features within a
high dimensional EIM dataset. Approach. EIM data were recorded from the tongue of healthy and ALS
diseased individuals. Resistivity and reactivity measurements were made for 14 frequencies, in three
electrode configurations. This gives 84 (2 × 14 × 3) distinct data points per participant. NTF was
applied to the dataset for dimensionality reduction, termed tensor EIM. Significance tests, symptom
correlation and classification approaches were explored to compare NTF to using all raw data and
feature selection. Main Results. Tensor EIM provides highly significant differentiation be...

Source: Physiological Measurement - November 3, 2021 Category: Physiology Authors: Chl öe N Schooling, T Jamie Healey, Harry E McDonough, Sophie J French, Christopher J McDermott, Pamela J Shaw, Visakan Kadirkamanathan and James J P Alix Source Type: research