Biomedical and Health Sciences

The use of modern Mobile Brain-Body imaging techniques, combined with hyperscanning (simultaneous and synchronous recording of brain activity of multiple participants) has allowed researchers to explore a broad range of different types of social interactions from the neuroengineering perspective. In specific, this approach allows to study such type of interactions under an ecologically valid approach.

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Please cite the following paper when using this dataset:

N. Thakur, “MonkeyPox2022Tweets: The first public Twitter dataset on the 2022 MonkeyPox outbreak,” Preprints, 2022, DOI: 10.20944/preprints202206.0172.v2

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This dataset contains tool-tissue interaction data from a series of partial meniscectomy punches, using an Acufex 1.5 mm upbiter punch. The data was collected from a cadaveric meniscus. The intended use of the data is haptic rendering of arthroscopic partial meniscectomy procedures.

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Many individuals after stroke exhibit upper extremity (UE) motor impairments. Manual interactions with objects are ubiquitous in everyday life and impaired interactive abilities result in loss of independence. Hence, understanding how deficits of UE manifest in functional interactions with objects is important for neurorehabilitation. However, detailed quantitative measurements of such intricate skills have been elusive so that current quantification of motor impairment has focused on impairment.

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PopMedNet™ is an open-source application used to facilitate multi-site health data networks. It uses a distributed network design that enables data holders to retain full control of their data. Investigators send questions to data holders for review and response. PopMedNet eliminates the need for assembling patient records in a centralized repository, thus preserving patient privacy and confidentiality.

This Dataset contains sample data using the PCORnet Common Data Model for running the regression tests supplied with PopMedNet™.

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Akshi IMAGE, a new Indian ethnicity retinal fundus image database, has been established for the evaluation of computer-assisted glaucoma prescreening methods. ‘Akshi’ is a Sanskrit word for the ‘Eye’ and ‘IMAGE’ is an acronym for IISc-MAHE Glaucoma Evaluation database. This database is a result of an interdisciplinary collaboration between Indian Institute of Science (IISc) and Manipal Academy of Higher Education (MAHE). The database consists of retinal color fundus images acquired using three different devices.

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A parametric microstrip patch antenna is designed inside a homogeneous spherical eyeball model in order to take into consideration mismatching caused by surrounding tissues. Biocompatible encapsulation is achieved by using Zirconia (εr = 29, tanδ~0). Safety and radiation performance studies for telemetry in the MedRadio band (401 - 406 MHz) are carried out using the SEMCAD X suite, based on the finite difference time domain (FDTD) method.

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For whole-testis cross-section analysis the output predictions from 1024x1024 images were merged and the whole-testis cross-section image was recompiled, with the annotated cellular and tubular objects, which were derived from cell and tubule models, respectively . This figure provides a high-resolution image of whole-testis cross-section analysis with cellular and tubular labels. 

 

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<p>Dataset contains 20000+ records of patients data. Of their medical history of getting cardiovascular disease.</p>

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