Biomedical and Health Sciences

This data set consists of 16 half-hour EEG recordings, obtained from 10 volunteers, as described below.

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MS-BioGraphs are a family of sequence similarity graph datasets with up to 2.5 trillion edges. The graphs are weighted edges and presented in compressed WebGraph format. The dataset include symmetric and asymmetric graphs. The largest graph has been created by matching sequences in Metaclust dataset with 1.7 billion sequences. These real-world graph dataset are useful for measuring contributions in High-Performance Computing and High-Performance Graph Processing.

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749 Views

Healthcare 4.0 introduces the groundbreaking notion of the "Digital Twin (DT)," utilizing a digital model to encompass an individual's biological traits. This technology allows for the development of tailored treatment approaches, supports timely interventions, monitors respiratory issues, and offers decision-making assistance to healthcare professionals, ultimately advancing healthcare capabilities.

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We investigated the effect of CW radiation at 0.6 THz on pathological protein aggregates in the form of amyloid fibrils, i.e. ordered protein complexes linked to neurodegenerative diseases such as Parkinson's and Frontotemporal Dementia. To monitor the effect of THz irradiation we exploited mid-infrared (mid-IR) vibrational spectroscopy in the amide-I band range, whose lineshape is known to depend on the protein conformation and on how proteins arrange into ordered supramolecular complexes such as fibrils.

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209 Views

The rapid development of highly multiplexed microscopy systems has enabled the study of cells embedded within their native tissue. The rich spatial data provided by these techniques have yielded exciting insights into the spatial features of human disease. However, computational methods for analyzing these high-content images are still emerging, and there is a need for more robust and generalizable tools for evaluating the cellular constituents and underlying stroma captured by high-plex imaging.

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99 Views

A dataset comprising a total of 21 individuals has been meticulously compiled, with 9 individuals identified as exhibiting Major Depressive Disorder (MDD) based on the outcomes derived from the PHQ-9 Questionnaire. The remaining 12 individuals in the dataset are classified as non-MDD. 

The dataset encompasses diverse sensor data, including temperature measurements, SpO2 readings, pulse rates, and accelerometer data. It is important to note that all data points were collected within a controlled environment, ensuring reliability and consistency throughout the dataset.

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2303 Views

This dataset contains the 3D data of nine different grasp type handles that were developed specifically to investigate the influence of the telemanipulator handle on surgical teleoperation tasks with a customized, six degrees of freedom, handleless lambda.6 haptic device (Force Dimension, Nyon, Switzerland). Each of these handles is designed to be grasped with a different grasp type: power disk, quadpod, power sphere, tripod, precision disk, parallel extension, fixed hook, writing tripod, and adducted thumb.

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This is the raw data for the article "Algorithm for Gait Parameters Estimation Based on Heel-Mounted Inertial Sensors", which includes walking data recorded by IMUs and data recorded by an optical motion capture (OMC) system, where the experimental data consisted of three parts:

Validity Experiment Data includes gait data (both IMU and OMC) of 30 participants who were instructed to walk in a straight line within the motion capture area and return upon reaching the end to ensure a sufficient step count.

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427 Views

<p><span style="color: #3c4043; font-family: Inter, sans-serif; font-size: 14px;">The dataset is collected from 3 MPU9250 sensors connected simultaneously on different positions of the hand. One sensor was placed on the wrist, another between wrist and elbow and another between elbow and shoulder. The dataset contains a 3-axis accelerometer, 3-axis gyroscope and 3-axis magnetometer readings along with a result column in which '1' denoted shaking hand and '0' denoted stable hand.

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Seventeen male participants (age: 22.8 ± 3.0 years old, height: 1.76 ± 6.2 m, weight: 67.7 ± 5.9 kg, resting heart rate: 66.5 ± 7.0 bpm) without cardiovascular and chronic respiratory problems were recruited. None of the gathered participants had a history of neuromuscular disorders within the past six months. Each participant performed three 30-minute treadmill or terrain running experiences every week in order to maintain his aerobic capability. Participants provided their informed consent after receiving an overview of procedures and potential risks.

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