Parkinson's disease

<p>Electrocardiogram (ECG) interpretation is critical for diagnosing a wide range of cardiovascular conditions. To streamline and accelerate the development of deep learning models in this domain, we present a novel, image-based version of the PTB Diagnostic ECG Database tailored for use with convolutional neural networks (CNNs), vision transformers (ViTs), and other image classification architectures. This enhanced dataset consists of 516 grayscale .png images, each representing a 12-lead ECG signal arranged as a 2D matrix (12 × T, where T is the number of time steps).

A flexible pressure sensing system built with a flexible pressure sensor collected footprint image video of mice in a dark environment and open field, including footprint data of Parkinson's mice and normal mice at 6 months and 9 months old. Among them, 804, 811, 812 and 825 were normal mice; Mice 1, 2, 3, 4, 653, 682 were normal mice, and the rest were PD mice.