HeartRate detector with ArduinoandPython - Use Arduino and Python create a heartrate detector.

Overview

Contributors Forks Stargazers Issues MIT License

Syllabus of Contents

Introduction Of Project

Use Arduino and Python create a heartrate detector.

Features

  • Read Arduino signal
  • use filter to deal with noise
  • Calculate heartrate
  • Show Electrocardiography

Develop With

(back to top)

Installation

1.install Matplotib

  conda install -c conda-forge matplotlib
  • We are using version = 3.5.1

2.install Serial

  conda install -c anaconda pyserial
  • We are using version = 3.4

3.install Scipy

  conda install -c anaconda scipy
  • We are using version = 1.7.1

4.install tkinter

  conda install -c anaconda tk
  • We are using verion = 8.6.11

(back to top)

Python code introduction

1.Pulse_plot.py

We create a signal process code to handle arduino heart rate data. Since the data readed from Arduino is not the correct heart rate number. We use filter to deal with noise and turn the data into correct Heart rate. After all to math function and filter , we print out the instant heart rate and use Matplotlib to show the user their Electrocardiography.

2.HeartRate_detector with tkinter.py

We think the most of people do not have the professional knowlegde to understand how Electrocardiography word.People only know what Electrocardiography look like when someone is dead. So we create a small UI program with promptly showing your heartrat and serval buttons. The button with "Analyse" is able to compare your heartrate with standard data. There will be a small windows pop up after you click the "Analyse" buttom.Show how is your heartrate and Is there anything you should notice. After seeing the result,you can just close the small windows and click the "Quit" buttom. After that the program will automatically close.

(back to top)

License

Distributed under the MIT License. See LICENSE for more information.

(back to top)

Developer Contact

(back to top)

Training RNNs as Fast as CNNs

News SRU++, a new SRU variant, is released. [tech report] [blog] The experimental code and SRU++ implementation are available on the dev branch which

ASAPP Research 2.1k Jan 01, 2023
Riemannian Convex Potential Maps

Modeling distributions on Riemannian manifolds is a crucial component in understanding non-Euclidean data that arises, e.g., in physics and geology. The budding approaches in this space are limited b

Facebook Research 61 Nov 28, 2022
Research code for the paper "Variational Gibbs inference for statistical estimation from incomplete data".

Variational Gibbs inference (VGI) This repository contains the research code for Simkus, V., Rhodes, B., Gutmann, M. U., 2021. Variational Gibbs infer

Vaidotas Šimkus 1 Apr 08, 2022
piSTAR Lab is a modular platform built to make AI experimentation accessible and fun. (pistar.ai)

piSTAR Lab WARNING: This is an early release. Overview piSTAR Lab is a modular deep reinforcement learning platform built to make AI experimentation a

piSTAR Lab 0 Aug 01, 2022
RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems

RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems This is our implementation for the paper: Weibo Gao, Qi Liu*, Zhenya Hu

BigData Lab @USTC 中科大大数据实验室 10 Oct 16, 2022
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

StarGAN v2 - Official PyTorch Implementation StarGAN v2: Diverse Image Synthesis for Multiple Domains Yunjey Choi*, Youngjung Uh*, Jaejun Yoo*, Jung-W

Clova AI Research 3.1k Jan 09, 2023
Official code for "Mean Shift for Self-Supervised Learning"

MSF Official code for "Mean Shift for Self-Supervised Learning" Requirements Python = 3.7.6 PyTorch = 1.4 torchvision = 0.5.0 faiss-gpu = 1.6.1 In

UMBC Vision 44 Nov 21, 2022
Personal implementation of paper "Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval"

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval This repo provides personal implementation of paper Approximate Ne

John 8 Oct 07, 2022
NVIDIA Deep Learning Examples for Tensor Cores

NVIDIA Deep Learning Examples for Tensor Cores Introduction This repository provides State-of-the-Art Deep Learning examples that are easy to train an

NVIDIA Corporation 10k Dec 31, 2022
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion

A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion This repo intends to release code for our work: Zhaoyang Lyu*, Zhifeng

Zhaoyang Lyu 68 Jan 03, 2023
Dense Unsupervised Learning for Video Segmentation (NeurIPS*2021)

Dense Unsupervised Learning for Video Segmentation This repository contains the official implementation of our paper: Dense Unsupervised Learning for

Visual Inference Lab @TU Darmstadt 173 Dec 26, 2022
Implementation of our recent paper, WOOD: Wasserstein-based Out-of-Distribution Detection.

WOOD Implementation of our recent paper, WOOD: Wasserstein-based Out-of-Distribution Detection. Abstract The training and test data for deep-neural-ne

8 Dec 24, 2022
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

This is the official implementation of our paper: Bowen Wen, Wenzhao Lian, Kostas Bekris, and Stefan Schaal. "CaTGrasp: Learning Category-Level Task-R

Bowen Wen 199 Jan 04, 2023
Realtime micro-expression recognition using OpenCV and PyTorch

Micro-expression Recognition Realtime micro-expression recognition from scratch using OpenCV and PyTorch Try it out with a webcam or video using the e

Irfan 35 Dec 05, 2022
Does MAML Only Work via Feature Re-use? A Data Set Centric Perspective

Does-MAML-Only-Work-via-Feature-Re-use-A-Data-Set-Centric-Perspective Does MAML Only Work via Feature Re-use? A Data Set Centric Perspective Installin

2 Nov 07, 2022
Code for the paper "JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular Design"

JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular Design This repository contains code for the paper: JA

Aspuru-Guzik group repo 55 Nov 29, 2022
ACV is a python library that provides explanations for any machine learning model or data.

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based mod

Salim Amoukou 85 Dec 27, 2022
Totally Versatile Miscellanea for Pytorch

Totally Versatile Miscellania for PyTorch Thomas Viehmann [email protected] Thi

Thomas Viehmann 428 Dec 28, 2022
Auto-updating data to assist in investment to NEPSE

Symbol Ratios Summary Sector LTP Undervalued Bonus % MEGA Strong Commercial Banks 368 5 10 JBBL Strong Development Banks 568 5 10 SIFC Strong Finance

Amit Chaudhary 16 Nov 01, 2022
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding

Vision Longformer This project provides the source code for the vision longformer paper. Multi-Scale Vision Longformer: A New Vision Transformer for H

Microsoft 209 Dec 30, 2022