Biomedical and Health Sciences
The pathology files of 194 colon cancer patients, 137 breast cancer patients, 124 gastric cancer patients, and 169 thyroid cancer patients who were referred to the healthcare facilities of Qazvin Province, Iran were examined for age, sex, surgery type, and pathological information. We collected information between 2010 and 2020.
- Categories:
1065 Views
Blood pressure (BP) measurement is an indispensable parameter for diagnosing many diseases, e.g., heart attack, stroke, vascular disease, and kidney disease. All these disease sometimes lead to fatal injuries due to the failure of vital human organs. The measurement of BP using BP device has several inaccuracies due to the non-availability of SI traceable calibration systems, which can also meet the criteria of International Organization of Legal Metrology (OIML) particularly OIML R 148 and OIML R 149 guidelines.
- Categories:
105 Views
EEG Data Acquisition Using the Muse Device: Meditation and Rest Stages of Participants
This study aimed to investigate electroencephalogram (EEG) patterns during meditation to gain insights into the distinctions among practitioners with differing levels of experience. We analyzed EEG data from a cohort of seven participants with a unique background in Vipassana meditation, in order to discern how disparities in experience levels manifest in their neural activity.
- Categories:
480 Views
The Numerical Latin Letters (DNLL) dataset consists of Latin numeric letters organized into 26 distinct letter classes, corresponding to the Latin alphabet. Each class within this dataset encompasses multiple letter forms, resulting in a diverse and extensive collection. These letters vary in color, size, writing style, thickness, background, orientation, luminosity, and other attributes, making the dataset highly comprehensive and rich.
- Categories:
492 Views
Cardiovascular diseases (CVD) are a leading global health concern. Comprehensive data on CVD and key biomarkers play a pivotal role in deciphering individual symptomatology. These biomarkers encompass a range of physiological indicators, such as cholesterol levels, blood pressure, and inflammatory markers like C-reactive protein.
- Categories:
1658 Views
This dataset is from our study that challenges the conventional interpretation of electrocardiogram (ECG) measurements, suggesting a paradigm shift in our understanding. Traditionally, ECGs are seen as reflections of the electric potential on the body's surface, but we propose an alternative hypothesis: ECGs may represent the gradient of the electric potential rather than the potential itself. To investigate this, we use computational methods based on the boundary element method (BEM) within the SCIRun numerical package.
- Categories:
47 Views
Drug development is a process that is incredibly expensive and time-consuming. Computational drug repurposing can help to assign new indications for approved drugs. It is capable to reduce the cost of drug developments. Machine learning models have been introduced to repurpose drugs long before. Recent studies formulate computational drug repurposing problem as a latent link prediction task on a heterogenous network. A number of computational methods have been developed based on graph neural networks.
- Categories:
18 Views
Quantifying performance of methods for tracking and mapping tissue in endoscopic environments is essential for enabling image guidance and automation of medical interventions and surgery. Datasets developed so far either use rigid environments, visible markers, or require annotators to label salient points in videos after collection. These are respectively: not general, visible to algorithms, or costly and error-prone. We introduce a novel labeling methodology along with a dataset that uses said methodology, Surgical Tattoos in Infrared (STIR).
- Categories:
2034 Views
This dataset is used in conjunction with the manuscript submission entitled: “Training with a Visual-Haptic Simulator for Trocar Insertion,” which is submitted for consideration as a short paper in Transactions on Haptics for presentation with the 2024 Haptics Symposium Conference. Trocar insertions have the greatest risk of injuring a patient during laparoscopic surgery, with most of the injuries being attributed to surgeon error. However, surgeon error can be reduced through proper training.
- Categories:
80 Views
This dataset contains the Supplementary Information of the article "Discovering Mathematical Patterns Behind HIV-1 Genetic Recombination: a new methodology to identify viral features" (Manuscript DOI: 10.1109/ACCESS.2023.3311752).
- Categories:
296 Views