Biomedical and Health Sciences
Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. One of the major stumbling blocks for manual retinal examination is the lack of a sufficient number of qualified medical personnel per capita to diagnose diseases.
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The Framingham Township Heart Institute offers a 10-year data set on coronary heart disease
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Please cite the following paper when using this dataset:
N. Thakur and C.Y. Han, “An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection,” Journal of COVID, 2022, Volume 5, Issue 3, pp. 1026-1049
Abstract
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This dataset contains Wi-Fi sensing data using Channel State Information (CSI) for respiration rate measurements in a standard 3m x 3m room. The Wi-Fi CSI data was collected using the Wi-Fi module on the ESP32 Microcontroller units using the esp32-csi-tool. The Wi-Fi CSI data is accompanied by respiration belt data taken with the Wi-Fi measurements simultaneously using the Neulog NUL-236 respiration belt logger as ground truth.
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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: A large-scale Twitter dataset on the 2022 Monkeypox outbreak, findings from analysis of Tweets, and open research questions,” Infect. Dis. Rep., vol. 14, no. 6, pp. 855–883, 2022, DOI: https://doi.org/10.3390/idr14060087.
Abstract
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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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