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The control of biomechanical processes in the tissue-implant interface and thermal changes created by friction or inflammatory processes in the implant and its environment represent the key validating processes of the postimplanting process. It is crucial for a patient and their health to minimize the invasiveness of the temperature measuring processes and the inner mechanical stress in the implant-tissue interface. For the purpose of these measurements, amorphous magnetic glass-coated microwires are the most suitable. Compared with other sensors, such as radio frequency identification sensors, the microwires have a significant advantage due to their dimensions (∼2 cm × 50 µm) (because of which the sensor almost does not interfere with the inner implant structures), their production is relatively cheap, and only ∼20 mm microwire is needed for the functional sensor. This paper is concerned with the testing of more types of microwire fixation in an implant and the impact of the fixation; it deals with necessary magnetic properties of a microwire and their dependence on the temperature. Microwire made of master alloy Fe 78 W 5 B 17 was created and fixed in four ways: 1) on one end; 2) on two ends; 3) in the middle; and 4) along its full length. The results show that the optimal way of fixation is the one along the full length of a microwire; however, the final signal is influenced by both, the type and volume of the applied fixation material. The highest sensitivity of the designed microwire was in the range of 120-140°C with no fixation and only with the full length fixation, this sensitivity decreased to 40-50°C, which is a level close to the level required for biomedical applications (35-42°C).Index Terms-Amorphous magnetic glass-coated microwires, magnetoelasticity, smart implants, switching field.

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The article presents the scalar calibration method that uses a neural network for the determination of parameters of the inverse model of the vector magnetometer. Utilization of the one layered, feed-forward neural network with the back propagation algorithm has suppressed the systematic errors of the vector magnetometers, namely the multiplicative, additive, orthogonality and linearity errors. Methodology shown in the article was designed and used for a pre-flight calibration of the magnetometer used in the first Slovak satellite skCUBE, where the magnetometer performs stabilization and navigation tasks. The experiment was performed in a 3D Helmholtz coil system, where the Earth magnetic field was suppressed and at the same time the stimulation field was created. Suppression of the Earth magnetic field was achieved by special positioning of the satellite. Honeywell HMC 5883L was used for the verification of the methodology.

The article deals with the method of the inherent noise estimation in each channel of a four channel relax-type magnetometer in general laboratory conditions. The day-long development of ambient magnetic field has been recorded and then the data were processed by correlation methods to separate inherent noises of the channels from ambient noise in the statistically best times. The method is applicable for noise estimation of any multi-channel sensoric system and also for the separation of deterministic and stochastic components of signals.