Wearable Devices

This competition aims to develop unique and innovative solutions using data to diagnose various health issues early. The participants must use the given dataset to develop innovative solutions to predict or early diagnose any disease or health condition. The details of the solutions need to be documented clearly, and a presentation on the same needs to be developed. Participants must describe the novelty, uniqueness, and impact of their given solution.

Last Updated On: 
Mon, 03/24/2025 - 11:58

Raw data of 'Tetherless Multi-targeted Bioimpedance Device for Monitoring Peripheral Artery Disease Progression'

 The dataset includes results from measurements of pulse signals from three different arteries using a commercial bioimpedance device mentioned in the paper, both using the conventional method and the proposed approach.

Moreover, the dataset encompasses simulated outcomes derived from HFSS (High-Frequency Structure Simulator), specifically investigating the impact of different plaque sizes on current induction at various frequencies.

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A folder that contains the Matlab code for the proposed design tool of the paper "Analysis and Preliminary Design of a Passive Upper Limb Exoskeleton" (authors: G. Vazzoler, P. Bilancia, G. Berselli, M. Fontana, A. Frisoli) can be freely downloaded.

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BS-HMS-Dataset is a dataset of the users' brainwave signals and the corresponding hand movement signals from a large number of volunteer participants. The dataset has two parts; (1) Neurosky based Dataset (collected over several months in 2016 from 32 volunteer participants), and (2) Emotiv based Dataset (collected from 27 volunteer participants over several months in 2019). 

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