This paper presents a new method for detection of changes in alignment of the human body, particularly the fall, on the basis of signals acquired from the position sensors placed on the body of the monitored person. The sensors are located on the cuffs, waist and chest. Transformation of data sequence collected from sensors is proposed in order to best distinguish between the collapse from the normal movement. It is based on nonlinear combination of the first two derivatives of the signals being read. Because data from the sensors is sent asynchronously, a numerical algorithm for unevenly sampled data differentiation is proposed. Derivative values are calculated in equidistant nodes through differentiation of a polynomial, which is adjusted by minimizing the mean square error. The developed method can be used in home care telemedicine systems, where it is necessary to long term monitor of multiple vital parameters of people under care.

In this paper we present innovative computer vision solutions to support social inclusion of totally blind people. We present the overall framework architecture and we focus on intelligent computer vision system applied to support Instrumental Activities of Daily Living (IADL). Results of the proposed intelligent computer vision system are reported and presented on the basis of sample real-life scenarios.

The paper presents the methodology of wireless network design, developed according to the requirements originating from existing wired fetal surveillance systems. The proposed network structure is based on popular radio frequency modules, operating in 433/866MHz band. The described solution is a simple and cost effective alternative to the wired networks, and it will vastly increase the mobility of fetal monitors. The authors also describe software tools which were designed for this purpose and the results of simulations performed on their basis.

In 2011 ITAM has completed work conducted with WIML’s representatives to develop a comprehensive method of psycho-physiological pilots’ signals and external environmental parameters during a test flight. It has been assumed that data will be collected “off line” during a training flight and stored in the monitoring module"s memory, and after the flight it will be loaded to the operator’s station system at the airport. The “On line” transmission of chosen parameters directly into a database and ongoing observation have also been anticipated. One of the main assumptions for the system was its independent work from the avionics systems of aircraft used for training. This has made it possible to use the system regardless the type of aircraft equipment and without having the necessity to stringent criteria of aviation hardware acceptance. The recording system has been designed as a distributed system consists of modules carried by the pilot, those placed permanently in the cockpit of the plane, a station for test flight preparation and reading recorded data, as well as a database system accessible via the Internet. Communication between the various system modules is to employ various transmission systems, wired as well as wireless. For safety reasons wireless communication between modules in the cockpit was not used in flight, with the exception of GSM transmission used to transfer selected data directly to the Central Acquisition System.

The paper describes the possibilities offered for medicine by modeling of human tissue using virtual and augmented reality. It also presents three proposals of breast modeling for the use in clinical practice. These proposals are the result of arrangements of medical and computer scientists team (the authors) and will be pursued and implemented in the near future. There is included also a brief description of the most popular methods for modeling of human tissue: spring-mass model and finite element method. Moreover the paper attempts to estimate the benefits of the developed models.

Modern technologies and technics nowadays play a very important role in optimizing many processes. Healthcare sector is a vital system of every country and it requires great investment and constant improvement, which makes integration with modern technologies and technics inevitable. Efficiency, speed and time savings are thus crucial for achievement of this integration. Lean RFID approach is completely new way of modeling and optimizing healthcare systems. The objective of this paper is to identify, describe and analyze recent trends in merging healthcare (Emergency Department) and Lean and RFID principles into a unique system. Obtained results indicate that the application of certain segments of Lean “thinking” significantly increases the efficiency of focused processes in healthcare. The main idea of the integration of medicine and Lean RFID approach is to constantly create and improve new values and reject all the activities that are categorized as “waste” in order to provide time savings, which are extremely important in this branch.

In the world today, the vast majority of medical electronic equipment contains software. Very often even the computer software is classified as an independent medical part. Because of the ease of making changes to the element of a large functional complexity, there is a high risk of introducing errors in the modified software. For example, just entering the wrong one filter parameter can make the biomedical signal processing circuit work incorrectly. As noted in [5], "the lessons learned from … disasters can do more to advance engineering knowledge than all the successful machines and structures in the world". This statement is also true in the software domain. The main goal of this paper is – basing on a database of medical devices with software defects – to draw conclusions and guidance for the design and maintenance of software for new medical equipment.

The study being presented is a continuation of the previous studies that consisted in the adaptation and use of the Levenshtein method in a signature recognition process. Three methods based on the normalized Levenshtein measure were taken into consideration. The studies included an analysis and selection of appropriate signature features, on the basis of which the authenticity of a signature was verified later. A statistical apparatus was used to perform a comprehensive analysis. The independence test χ2 was applied. It allowed determining the relationship between signature features and the error returned by the classifier.

This paper presents a method of recognition of handwritten signatures with the use of Hidden Markov Models (HMM). The method in question consists in describing each signature with a sequence of symbols. Sequences of symbols were generated on the basis of an analysis of local extremes determined on diagrams of dynamic features of signatures. For this purpose, the method proposed by G.K. Gupta and R.C. Joyce has been modified. The determined sequences were then used as input data for the HMM method. The studies were conducted with the use of the SVC2004 database. The results are competitive in relation to other methods known from the literature.

The paper introduces a significant improvement of the signature recognition method based on characteristic preprocessing of an input data. The original approach transforms an input data into a sorted set of points obtained from intersections of a signature with generated lines going through it’s center point. For further analysis the discrete Walsh transform was used. The solution presented in this paper divides points obtained in the preprocessing phase into groups. This step allows the method to preserve more unique features, which positively reflects on the results. Preprocessed data is used to build a fuzzy structure called the fuzzy signature. The method considering a natural imprecision makes the verification system flexible.

As a global feature of fingerprint, orientation field plays important roles in most of image preprocessing methods used in automatic fingerprint identification system (AFIS). Many algorithms have been proposed for orientation field estimation. This paper reviews the advantages and disadvantages of existing fingerprint orientation estimation methods. Issues on possible directions of further development have been presented.