This study presents a standardized method for multimodal monitoring of exercise execution in isolated, confined, and extreme (ICE) environments, addressing the need for reproducible assessment of neuromuscular and cardiovascular responses under space- and equipment-limited conditions. The method integrates wearable surface electromyography (sEMG), inertial measurement units (IMU), and electrocardiography (ECG) to capture muscle activation, movement, and cardiac dynamics during space-efficient exercise. Ten exercises suitable for confined habitats were implemented during analog missions conducted in the DeepLabH03 facility, with feasibility evaluated in a seven-day campaign involving three adult participants. Signals were synchronized using video-verified repetition boundaries, sEMG was normalized to maximum voluntary contraction, and sEMG amplitude- and frequency-domain features were extracted alongside heart rate variability indices. The protocol enabled stable real-time data acquisition, reliable repetition-level segmentation, and consistent detection of muscle-specific activation patterns across exercises. While amplitude-based sEMG indices showed no uniform main effect of exercise, robust exercise-by-muscle interactions were observed, and sEMG mean frequency demonstrated sensitivity to differences in movement strategy. Cardiac measures showed limited condition-specific modulation, consistent with short exercise bouts and small sample size. As a proof-of-concept feasibility study, the proposed protocol provides a practical and reproducible framework for multimodal physiological monitoring of exercise in ICE analogs and other constrained environments, supporting future studies on exercise quality, training load, and adaptive feedback systems. The protocol is designed to support near-real-time monitoring and forms a technical basis for future exercise-quality feedback in confined habitats.

The intent of the article is to present a wearable system for assessing the physical fitness of team members in an ICE (isolated, confined and extreme) environment. A device enables recording, preprocessing and sending the measured MoCap and EMG data in real time to the PC. The system is composed of new HW, SW and ICT tools. Sensors of the system can be placed on selected body segments and in the exercise equipment structure to monitor motion and EMG data during exercises. The purpose of the unique system is to enable the examination and elimination of the effects of the ICE environment on various aspects of the subject's physical fitness. The system will enable the maintenance of sufficient physical activity and fitness of teams working or staying in ICE environments, thus increasing the safety and efficiency of teams' work and stay.

The use of nonlinear analysis methods provides new information when evaluating linear acceleration and angular velocity from a system with Inertial Measurement Unit (IMU) recording. This information is used as additional input to improve the estimation of the angular displacements in a neural network model. The measurements were performed on 24 participants (18 males and 6 females of an average age of $22.6\pm \ 2.6$ years old, average height of $172.6\pm 10.3$ cm, and an average weight of $72.2\pm 16.02\ \text{kg})$ during bilateral jump landing tasks. In order to assess the differences between IMU estimated angle and the gold standard, data obtained from Qualysis optical Mocap (Qualisys AB, Göteborg, Sweden) and Delsys inertial measurement systems (Delsys Inc., Boston, MA, USA) were used for measurements during bilateral jump landing tasks. A total of 8 IMU sensors were placed on the sternum, L5, bilateral thighs, shanks, and foot. The thigh and shank sensors were placed on the middle of each thigh and shank along the anterior-posterior axis (middle thigh and middle shank) while the foot sensors were placed on the dorsal surface of the foot. Thirty retroreflective markers were placed on the pelvis and bilateral thigh, shanks, and foot to form a 7-linkage lower extremity model. Static calibration on each of the participants was performed during standing with anatomical position to define the neutral joint angle at bilateral hip, knee, and ankle. For quantification purposes, the Hurst exponent, Lyapunov exponent, approximate entropy, and multiscale sample entropy were used. The results suggest that when evaluating the placement of IMU on the shank and thigh to determine the knee angle, the Hurst exponent is capable of best distinguishing individual axes based on linear acceleration and angular velocity.

From the very beginning of the use of the first so-called cold weapons, humanity has been trying to defend itself from attacks by using appropriate protective equipment. Due to the constantly deteriorating security situation in the world, the demand for these protective equipment is rising. Related to this is the development of new types of protective materials that are able to protect their user from a certain amount of kinetic energy that accompanies each cold weapon attack. In order to meet relatively strict safety and protective conditions, it is necessary to subject these materials to tests that prove their required properties and thus determine the degree of protection for which the material will be intended. These tests should be simple, easy to perform and repeatable, and at the same time they must have a sufficiently high indicative value about the quality of the tested material. For these tests, it is necessary to use special test systems. Most of the systems in use are currently manually controlled and testing is time-consuming. The article describes a new semi-automatic system, which is based on a mechatronic construction, which enables more precise and faster testing of materials. We focus on individual tests of system parameters and constructions of individual parts. The results of tests of part of the system are described and the arrangement of systems for use in practice is recommended.