Health

The purpose of this data collection was for the validation of a cuffless blood pressure estimation model during activities of daily living. Data were collected on five young healthy individuals (four males, age 28 ± 6.6 yrs) of varied fitness levels, ranging from sedentary to regularly active, and free of cardiovascular and peripheral vascular disease. Arterial blood pressure was continuously measured using finger PPG (Portapres; Finapres Medical Systems, the Netherlands).

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2259 Views

The PD-BioStampRC21 dataset provides data from a wearable sensor
accelerometry study conducted for studying activity, gait, tremor, and
other motor symptoms in individuals with Parkinson's disease (PD).  In
addition to individuals with PD, the dataset also includes data for
controls that also went through the same study protocol as the PD
participants.  Data were acquired using lightweight MC 10 BioStamp RC
sensors (MC 10 Inc, Lexington, MA), five of which were attached to
each participant for gathering data over a roughly two day
interval.

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9626 Views

This folder contains the onboard sensor measurements for the EksoGT robotic exoskeleton during experiments with three able-bodied individuals and three non-able-bodied individuals with a spinal cord injury. The data is divided into .mat files by the trial. All able-bodied subjects completed three repetitions of each commanded intent change (Speed Up, Slow Down, and No Change) for each trial set.

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231 Views

This dataset is in support of my following Research papers  

Preprint  (Make sure you have read Caution) :

  • Novel ß Transtibial Prosthetic 9-DoF Artificial Leg Adaptive Controller - Part I* 

  https://doi.org/10.36227/techrxiv.19758517.v1

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2149 Views

Image : Image was made by me for other International Contest (held by some Medical Institute,USA in the year 2021), 'An intuitive of electromagnetic radiation flowing over epithelial tissue'.

This is an open-access page. All the content can be freely downloaded after sign-up. This webpage contains datasets and models, which are in support of my Research claim/discovery and also used in my Invited/Keynote/Featured/Speaker Presentations.

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4265 Views

This dataset is in support of my research paper 'ElectroMagnetic Fields in Wireless Charging of Electric Vehicles '.

Preprint :

This is useful for industries, manufacturers,doctors,environmentalists, who are curious to see and know.

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2314 Views

Amidst the COVID-19 pandemic, cyberbullying has become an even more serious threat. Our work aims to investigate the viability of an automatic multiclass cyberbullying detection model that is able to classify whether a cyberbully is targeting a victim’s age, ethnicity, gender, religion, or other quality. Previous literature has not yet explored making fine-grained cyberbullying classifications of such magnitude, and existing cyberbullying datasets suffer from quite severe class imbalances.

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4651 Views

This heart disease dataset is curated by combining 3 popular heart disease datasets. The first dataset (Collected from Kaggle)  contains 70000 records with 11 independent features which makes it the largest heart disease dataset available so far for research purposes. These data were collected at the moment of medical examination and information given by the patient. Second and third datasets contain 303 and 293 intstances respectively with 13 common features. The three datasets used for its curation are:

  1. Cardio Data (Kaggle Dataset)

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22326 Views

It contains the four biomarkers which we have selected for the instrument, in the first column we have the recordings for heart, in second we have recordings for temperature, third is for muscle activity and last column is for oxygen levels.

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This heart disease dataset is curated by combining 5 popular heart disease datasets already available independently but not combined before. In this dataset, 5 heart datasets are combined over 11 common features which makes it the largest heart disease dataset available so far for research purposes. The five datasets used for its curation are:

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57506 Views

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