###### Abstract  
InterCriteria analysis (ICrA) and two kinds of correlation analyses, Pearson (PCA) and Spearman (SCA), were applied to surface electromyography (sEMG) signals obtained from human arm movements in the horizontal plane. Ten healthy participants performed ten movements, eight of which were cyclic. Each cyclic movement (CM) consisted of flexion and extension phases with equal duration (10 s, 6 s, 2 s, and 1 s) and two 5 s rest poses between them. The CMs were performed with and without an added load of 0.5 kg on the wrists of the participants. The sEMG signals from six different muscles or separate muscle heads (m. deltoide pars claviculars, m. deltoide pars spinata, m. brachialis, m. anconeus, m. biceps brachii, and m. triceps brachii long head) were recorded and used to compare the results of the ICrA, PCA, and SCA. All three methods found identical consonance pairs for the flexion and extension CM phases. Additionally, PCA detected two more consonance pairs in the extension phases. In this investigation, ICrA, PCA, and SCA were proven to be reliable tools when applied separately or in combination for sEMG data. These three methods are appropriate for researching arm movements in the horizontal plane and experimental protocol revision. arm movements; horizontal plane; sEMG; InterCriteria analysis; [PERSON]'s and Spearman's correlation analyses +
Footnote †: journal: Medical  
analyses of calorimetric data sets. Also, [PERSON] et al. show that ICrA and PCA complement each other. In eight cases, ICrA exceeds the PCA, and for the other eight, PCA surpasses the ICrA. [PERSON] et al. [17] test the same decision-making methods along with [PERSON]'s CA (SCA) for calorimetric and biochemical parameters obtained from the serum proteome of patients suffering from multiple myeloma (MM). In this work, the authors report strong similarities between results from ICrA and SCA that help to determine the interrelations between calorimetric and biochemical data for MM. [PERSON] et al. [18] verify two new ICrA modifications using real data from prostate carcinoma patients. The outcomes from the two modifications of the ICrA, classical ICrA, and the widely used PCA are similar. The methods find closeness between the same criteria, with almost analogous values. [PERSON] [7] also aims to establish the correlations and directions of dependencies between model indicators of the basic and specialized speeds of twenty young hockey players by applying ICrA and PCA. The author reports that PCA, traditionally used in sports science, gives correlations and dependencies confirmed or rejected by ICrA. ICrA was used for the first time over surface electromyography (sEMG) signals in [5; 6]. Electromyography (EMG) is a widely used technique for detecting and analyzing biological signals [19]. Two types of electrodes can be used--needle (invasive) and surface electrodes (noninvasive). EMG measures muscle responses from an action potential generated in the central nervous system. It is transmitted electrochemically through the nerve fibers and stimulates multiple skeletal muscle fibers [19]. EMG in dynamic conditions gives information on muscle intensity and velocity, which reveal the forces exerted over the human joints [20; 21]. Once acquired, EMG helps to understand the behavior of the human body under normal and pathological conditions. This knowledge is most applicable in sports science and rehabilitation and for diagnosing different neuro-muscular diseases, estimating the forces developed by the muscles, and controlling prosthetic devices [22; 23]. Part of recovery medicine includes robots, exoskeletons, orthosis, etc., where EMG signals are used for intention prediction for movement and its realization [24]. In addition, the interaction between sEMG and fluid-driven innovations opens fields for control that enable the realization of complex and more motion-precise robotic systems with adaptable structures [25; 26].