shangjianshizhe

Bilibili346623

Examples shown in Bilibili Live 346623

Blood_Pressure-Prediction-by-Pulse_Wave_transit_time

Blood Pressure prediction based on Heart Rate & Pulse Wave Transit Time (GraduationProject)

bloodflow

Implementation of the 1D blood flow equations using FEniCS

BP_annotate

Blood pressure waveform annotation

CardioFAN

Finite volume-based monotone code for blood flow hemodynamics simulations!

CNN_LSTM_HeartRateEstimation

CNN-LSTM based Heart Rate Estimation from PPG and Accleration

Cuff_less_BP_Prediction

Prediction of Blood Pressure from EEG and PPG signals using regression methods.

lstm-ecg

Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network

PPG2ABP

PPGSQI

The PPG signals are preprocessed and transformed into 2D STFT spectra with 250 × 334 pixels. The STFT figures are as the input of the CNN networks, and the model gives the result as good or bad quality.

shangjianshizhe/PPGSQI

The PPG signals are preprocessed and transformed into 2D STFT spectra with 250 × 334 pixels. The STFT figures are as the input of the CNN networks, and the model gives the result as good or bad quality.

shangjianshizhe/lstm-ecg

Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network

shangjianshizhe/PPG2ABP

shangjianshizhe/Bilibili346623

Examples shown in Bilibili Live 346623

shangjianshizhe/Blood_Pressure-Prediction-by-Pulse_Wave_transit_time

Blood Pressure prediction based on Heart Rate & Pulse Wave Transit Time (GraduationProject)

shangjianshizhe/bloodflow

Implementation of the 1D blood flow equations using FEniCS

shangjianshizhe/BP_annotate

Blood pressure waveform annotation

shangjianshizhe/CardioFAN

Finite volume-based monotone code for blood flow hemodynamics simulations!

shangjianshizhe/CNN_LSTM_HeartRateEstimation

CNN-LSTM based Heart Rate Estimation from PPG and Accleration

shangjianshizhe/Cuff_less_BP_Prediction

Prediction of Blood Pressure from EEG and PPG signals using regression methods.

shangjianshizhe/Cuff_less_BP_Prediction-1

Prediction of Blood Pressure from ECG and PPG signals using regression methods.

shangjianshizhe/Deep-Learning-Based-ECG-Annotator

Annotation of ECG signals using deep learning, tensorflow’ Keras

shangjianshizhe/ECG-Segment-LSTM

Data:qtdb Model： LSTM Env：python3+pytorch

shangjianshizhe/keras

Deep Learning for humans

shangjianshizhe/no-OS

Software drivers for systems without OS

shangjianshizhe/openBF

1D blood flow model

shangjianshizhe/physionet

A convolutional neural network to detect atrial fibrillation from a single-lead ECG

shangjianshizhe/PPG

Code to estimate HR from PPG signals using Subspace Decomposition and Kalman filter for the dataset of 22 PPG recordings provided for the 2015 IEEE Signal Processing Cup (SP Cup) competition. The traces are stored in folder 'DATABASE'. Please cite this publication when referencing this material: "Measuring Heart Rate During Physical Exercise by Subspace Decomposition and Kalman Smoothing", IEEE Transaction on Instrumentation & Measurement.

shangjianshizhe/ppg_cnn

this is a cnn_net to achieve the goal of using ppg to predict blood pressure

shangjianshizhe/pulse-wave-signals-recognition-and-CNN-RNN

shangjianshizhe/pwdb

Scripts for generating and analysing the simulated Pulse Wave DataBase

shangjianshizhe/pyvital

Open source python implementation of medical algorithms

shangjianshizhe/RPNet

shangjianshizhe/STARFiSh_v0.4

shangjianshizhe/vampy

Python package implementing the 1D blood flow equations using the Lax-Wendroff method.

shangjianshizhe/vitalutils

Open source code for processing vital files

shangjianshizhe/wfdb-python

Native Python WFDB package