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)

An end-to-end implementation of intent prediction with Metaflow and other cool tools

You Don't Need a Bigger Boat An end-to-end (Metaflow-based) implementation of an intent prediction flow for kids who can't MLOps good and wanna learn

Jacopo Tagliabue 614 Dec 31, 2022
Group R-CNN for Point-based Weakly Semi-supervised Object Detection (CVPR2022)

Group R-CNN for Point-based Weakly Semi-supervised Object Detection (CVPR2022) By Shilong Zhang*, Zhuoran Yu*, Liyang Liu*, Xinjiang Wang, Aojun Zhou,

Shilong Zhang 129 Dec 24, 2022
A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

CLEVR Dataset Generation This is the code used to generate the CLEVR dataset as described in the paper: CLEVR: A Diagnostic Dataset for Compositional

Facebook Research 503 Jan 04, 2023
Python interface for SmartRF Sniffer 2 Firmware

#TI SmartRF Packet Sniffer 2 Python Interface TI Makes available a nice packet sniffer firmware, which interfaces to Wireshark. You can see this proje

Colin O'Flynn 3 May 18, 2021
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks

CyGNet This repository reproduces the AAAI'21 paper “Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Network

CunchaoZ 89 Jan 03, 2023
Code accompanying the paper "Wasserstein GAN"

Wasserstein GAN Code accompanying the paper "Wasserstein GAN" A few notes The first time running on the LSUN dataset it can take a long time (up to an

3.1k Jan 01, 2023
Automatic Video Captioning Evaluation Metric --- EMScore

Automatic Video Captioning Evaluation Metric --- EMScore Overview For an illustration, EMScore can be computed as: Installation modify the encode_text

Yaya Shi 17 Nov 28, 2022
Exploring Versatile Prior for Human Motion via Motion Frequency Guidance (3DV2021)

Exploring Versatile Prior for Human Motion via Motion Frequency Guidance [Video Demo] [Paper] Installation Requirements Python 3.6 PyTorch 1.1.0 Pleas

Jiachen Xu 19 Oct 28, 2022
Angora is a mutation-based fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without symbolic execution.

Angora Angora is a mutation-based coverage guided fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without s

833 Jan 07, 2023
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extens

TensorLayer Community 7.1k Dec 29, 2022
Classic Papers for Beginners and Impact Scope for Authors.

There have been billions of academic papers around the world. However, maybe only 0.0...01% among them are valuable or are worth reading. Since our limited life has never been forever, TopPaper provi

Qiulin Zhang 228 Dec 18, 2022
Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)

Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)

7 Jun 22, 2022
iris - Open Source Photos Platform Powered by PyTorch

Open Source Photos Platform Powered by PyTorch. Submission for PyTorch Annual Hackathon 2021.

Omkar Prabhu 137 Sep 10, 2022
This is a repository of our model for weakly-supervised video dense anticipation.

Introduction This is a repository of our model for weakly-supervised video dense anticipation. More results on GTEA, Epic-Kitchens etc. will come soon

2 Apr 09, 2022
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

S2-BNN (Self-supervised Binary Neural Networks Using Distillation Loss) This is the official pytorch implementation of our paper: "S2-BNN: Bridging th

Zhiqiang Shen 52 Dec 24, 2022
Homepage of paper: Paint Transformer: Feed Forward Neural Painting with Stroke Prediction, ICCV 2021.

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction [Paper] [PaddlePaddle Implementation] Homepage of paper: Paint Transformer: Fee

442 Dec 16, 2022
Unofficial PyTorch code for BasicVSR

Dependencies and Installation The code is based on BasicSR, Please install the BasicSR framework first. Pytorch=1.51 Training cd ./code CUDA_VISIBLE_

Long 59 Dec 06, 2022
Object Detection and Multi-Object Tracking

Object Detection and Multi-Object Tracking

Bobby Chen 1.6k Jan 04, 2023
Baseline and template code for node21 detection track

Nodule Detection Algorithm This codebase implements a baseline model, Faster R-CNN, for the nodule detection track in NODE21. It contains all necessar

node21challenge 11 Jan 15, 2022