This work presents results in measurement density in grape juice by mean of fiber optic sensors. This measure, which provides alcohol level in the fermentation process, has several problems that are shown as a limitation of these kinds of sensors in practical applications.

In this paper a real-time data acquisition, visualization and signal processing software and an inverse-problem-solving method enabling non-invasive location of bioelectric sources in the heart are presented. Complete solution also consists of a portable measuring unit connected to a personal computer on which the software is running.
Acquisition and real-time processing and visualization software LiveMap is a client-server software for MS Windows. This modular open source software package provides real-time 2D and 3D visualization of various types of data mapped directly to a human chest model. It can compute isopotential and isointegral surface maps, as well as difference and departure maps applicable for direct heart or brain diagnostics.
For identification of local ischemia of myocardial cells an inverse method implemented in Matlab was included into offline ECG processing. It uses alterations in time integrals of surface potentials connected with changed repolarization of ischemic myocardial cells together with information on torso volume conductor to find an equivalent dipole representing the ischemic lesion.
Although the software can be used with variety of acquisition units, all its advantages can be achieved using a mobile measuring system which was developed in parallel to the software. It enables simultaneous recording of biopotentials measured in up to 128 body surface nodes relatively to a chosen reference potential. Active electrodes and intelligent data acquisition unit powered by a Li-ion cell enable to achieve high quality of measured signals. Connection to the USB port of a host computer over an optical cable minimizes capacitive coupling and guaranties high level of patient safety.

The modern measurement instruments involved in telecommunication systems are generally based on suitable digital signal processing methods which provide the desired quantities by elaborating the digitized samples. To meet the accuracy and repeatability required by the telecommunication applications and to warrant the alias-free sampling (Nyquist-Shannon theorem), the measurement instruments are usually forced to operate with high sampling frequencies, long observation periods and very fast measurement algorithms. It is worth noting that fixed the observation period, a reduction in the sampling rate directly leads to a reduction in the number of samples to be stored in memory, and consequently in the computational burden and the processing time of the measurement algorithm. If bandpass signals are involved, as it happens in modern telecommunication systems, the bandpass sampling theory could be employed to significantly reduce the sampling rate, without any replica overlapping. This opportunity is very attractive for both instrument designers and users since it allows optimizing the hardware resources through a more efficient employment.
The choice of the bandpass sampling rate is a not trivial task, and wrong values may cause aliasing phenomena and affect the accuracy of measurement results. In this paper, two original algorithms, particularly useful to both instrument designers and users, are proposed to automatically select the sampling rate when bandpass signals have to be measured. To assess and validate the efficiency and the suitability of bandpass sampling criteria proposed, preliminary tests were performed on emulated DVB-T signals.

We developed a protocol for the assessment of manual wheelchair set-up and propulsion in a common clinical motion analysis laboratory. We also designed a device to detect hand contact on handrim.
In a first phase, we took anthropometric and wheelchair geometric measures. Later, subjects propelled the wheelchair and, based on the experimental data on subjects' movements and their effect on wheelchair velocity, we identified a number of indicators for performance in wheelchair push. We show that these indicators clearly distinguish between experienced and novice users.

The accuracy of coordinate measuring machines (CMMs) strongly depends on geometrical errors that effect the measurements. Several methods for mapping these errors have been developed and some have been implemented. Examples are the direct measurement analysis by means of interferometers, straight edges, squareness standards or the analysis by application of artefacts like ball or hole plates or by using the multilateration approach using high accurate tracking laser interferometers. In this paper a comparison between the well established ball or hole plate method against the new multilateration approach will be presented and discussed. The measurements were carried out on a high accurate and commercial CMM at the Physikalisch-Technische Bundesanstalt (PTB) in cooperation with the National Institute for Standards in Egypt (NIS). For error mapping a ceramic hole plate 960 mm × 960 mm with a grid spacing of 60 mm and a commercial Laser Tracer (LT) were used. Both were originally developed at PTB. The result of the comparison shows that the differences between all estimated rotational axis errors are within 1 arc second. The differences of most of the translatorical errors are less than 1 micrometer. Consequently, both error mapping methods can be used alternatively. Moreover, the paper will show that the multilateration approach can cover a long range of the working volume of machines, is easy for handling, and reduces the time of measurements.