We apply the AES Encryption algorithm and the Lempel Ziv(LZ) Compression algorithms on each data record and record the times. Then we apply combinations of AES and LZ on the data records - namely AES(LZ()) and LZ(AES()). We record the 4 times and derive scatter plots.


AIM: Population aging is a worldwide phenomenon leading to increased life expectancy without necessarily meaning more years of autonomous life. Frailty is characterized by diminished strength, resistance and physiological function that increase vulnerability leading to dependency and mortality. While frailty diagnoses requires a clinical assessment of the patients overall health including at least five different criteria, the relationship among them it is little explored.


Computational modelling of metabolic processes has proven to be a useful approach to formulate our knowledge and improve our understanding of core biochemical systems that are crucial to maintain cellular functions. Recently, it has become evident that metabolism is not only responsible for generating the required energy and controlling the abundance of metabolites within a cell, but also has an important role in and influence on cellular fate specification.


Modified characteriograph-assisted testings of spectrozonal analog lab-on-a-chip under laser beams



  • “Development of the novel physical methods for complex biomedical diagnostics based on position-sensitive mapping with the angular resolution at the tissue and cellular levels using analytical labs-on-a-chip” (RFBR grant # 16-32-00914) [6 838,27 $ per year; 2016-2017];
  • “Lab-on-a-chip development for personalized diagnostics” (FASIE grant 0019125) [3 039,00 $ per year; 2016-2017].

Objective: During laparoscopic sacrocolpopexy vaginal vault prolapse is repaired by restoring the anatomical state ofthe vagina with a surgical mesh. A vaginal manipulator is placed inside the vagina to provide proper exposure to the surgeon forfixation of the mesh on the vaginal surface and vault by laparoscopy. Vaginal vault manipulation is done manually by an assistantand long operation times lead to fatigue and inconsistent application of tensioning forces.


Datasets of confocal microscopy images of cardiomyocytes aimed at development of image recognition systems. Images of live and healthy cardiomyocytes with fluorescently stained sarcolemma were assigned into 5 classes according to their development stages. The least developed cardiomyocytes were considered to be at stage 1 (class 1) while the most developed ones were assigned stage 5 (class 5). All other images belong to a class 0.


For the development and evaluation of organ localization methods, we build a set of annotations of organ bounding boxes based on the MICCAI Liver Tumor Segmentation (LiTS) challenge dataset. Bounding boxes of 11 body organs are included:  heart (53/28), left lung (52/21), right lung (52/21), liver (131/70), spleen (131/70), pancreas (131/70), left kidney (129/70), right kidney (131/69), bladder (109/67), left femoral head (109/66) and right femoral head (105/66). The number in the parentheses indicates the number of the organs annotated in training and testing sets.


In the era of increasing connectivity, everything including upcoming medical devices is being connected to the internet. These medical devices are monitoring units which measure application specific parameters, process them, perform data encoding and send them to a cloud server. Intravenous (IV) therapy is a common medical procedure which requires a continuous monitoring of the setup to avoid complications which can be achieved by running the system for hours. Traditionally, doctors and nurses use their experience to estimate the time required by an IV to run.


Electroencephalography (EEG) signal data was collected from twelve healthy subjects with no known musculoskeletal or neurological deficits (mean age 25.5 ± 3.7, 11 male, 1 female, 1 left handed, 11 right handed) using an EGI Geodesics© Hydrocel EEG 64-Channel spongeless sensor net. All subjects gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of the University of Wisconsin-Milwaukee (17.352).



This repository aims to publish a sEMG database for hand gesture recongnition, which is suitable for intra-session, inter-session, inter-day and inter-subject tests. Six subjects were involved in data collection on ten days, and two sessions a day with the interval of half an hour. In each session, one trial (10 secondes) for each geature was conducted. The electrode sleeve did not reweared between two sessions in a day. The utilised sEMG device was customised by the Intelligent System and Biomedical Robotics Group, which was discussed in [1].