A Comparison of Wearable Tonometry, Photoplethysmography, and Electrocardiography for Cuffless Measurement of Blood Pressure in an Ambulatory Setting (Mieloszyk et al., 2022) | accelerometer+ECG+PPG | Aurora-BP | personalization | 1.152125 | 1.351082 | Available | Available upon request |
A Comparison of Wearable Tonometry, Photoplethysmography, and Electrocardiography for Cuffless Measurement of Blood Pressure in an Ambulatory Setting (Mieloszyk et al., 2022) | accelerometer+tonometer | Aurora-BP | personalization | 1.189376 | 1.367003 | Available | Available upon request |
A Comparison of Wearable Tonometry, Photoplethysmography, and Electrocardiography for Cuffless Measurement of Blood Pressure in an Ambulatory Setting (Mieloszyk et al., 2022) | ECG | Aurora-BP | personalization | 1.149554 | 1.367003 | Available | Available upon request |
A h-Shirt-Based Body Sensor Network for Cuffless Calibration and Estimation of Arterial Blood Pressure (Gu et al., 2009) | ECG+PPG | Internal | subject split | 1.031746 | NaN | NaN | NaN |
A Novel Method for Calibration-Based Cuff-Less Blood Pressure Estimation (Li et al., 2019) | ECG+PPG | MIMIC | subject split | 0.976976 | 1.009723 | NaN | NaN |
A Probabilistic Beat-to-Beat Filtering Model for Continuous and Accurate Blood Pressure Estimation (Chen et al., 2020) | ECG+PPG | MIMIC | subject split | 1.106083 | 0.820419 | Unavailable. Check github profile. | NaN |
Accelerometric patch probe for cuffless blood pressure evaluation from carotid local pulse wave velocity: Design, development, and in vivo experimental study (Arathy et al., 2019) | PPG+PPG | Internal | subject split | 2.020992 | 1.640432 | NaN | NaN |
Accuracy of vital signs measurements by a smartwatch and a portable health device: validation study (Hahnen et al., 2020) | ECG+PPG | Internal | subject split | 1.111111 | 1.475410 | NaN | Available upon request |
An Ambulatory Blood Pressure Monitoring System Based on the Uncalibrated Steps of the Wrist (Wu et al., 2019) | BCG+PPG | Internal | subject split | 4.032634 | 4.454545 | NaN | NaN |
An investigation of the individualized, two-point calibration method for cuffless blood pressure estimation using pulse arrival time: an historical perspective using the … (Louka et al., 2021) | ECG+PPG | Internal | personalization | 0.147059 | 0.094787 | NaN | NaN |
Blood pressure estimation using photoplethysmogram signal and its morphological features (Hasanzadeh et al., 2019) | PPG | MIMIC | subject split | 2.470135 | 2.206161 | Available | Available. "Small Sample" uploaded to github. No pre-processing code. |
Carotid local pulse wave velocity measurement using dual-element accelerometric patch probe (Arathy et al., 2018) | PPG+PPG | Internal | subject split | 2.187413 | 1.925687 | NaN | NaN |
Combined deep CNN–LSTM network-based multitasking learning architecture for noninvasive continuous blood pressure estimation using difference in ECG … (Jeong et al., 2021) | ECG+PPG | MIMIC | subject split | 7.631250 | 5.730769 | NaN | NaN |
Continuous and Noninvasive Blood Pressure Estimation by Two-Sensor Measurement of Pulse Transit Time (Rasool et al., 2018) | PPG+pressure sensor | Internal | subject split | 1.638783 | NaN | Unavailable. Check github profile. | NaN |
Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques (Miao et al., 2020) | ECG | MIMIC | subject split | 1.955956 | 1.298887 | NaN | NaN |
Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques (Miao et al., 2020) | ECG | MIMIC+Internal | subject split | 3.357388 | 1.453737 | NaN | NaN |
Continuous Monitoring of Blood Pressure Using a Wrist-Worn Cuffless Device (Sayer et al., 2022) | biometrics+pressure sensor | Internal | subject split | 2.396040 | 1.893333 | NaN | NaN |
Continuous ppg-based blood pressure monitoring using multi-linear regression (Haddad et al., 2021) | PPG | MIMIC | subject split | 2.658416 | 1.893891 | NaN | NaN |
Crisp-BP: continuous wrist PPG-based blood pressure measurement (Cao et al., 2021) | contact pressure+PPG | Internal+MIMIC | subject split | 3.064122 | 1.615595 | NaN | NaN |
Cuff-less and Calibration-free Blood Pressure Estimation Using Convolutional Autoencoder with Unsupervised Feature Extraction (Zhang et al., 2019) | ECG+PPG | Internal | subject split | 2.490323 | 2.534113 | NaN | NaN |
Cuff-less Blood Pressure Measurement Based on Deep Convolutional Neural Network (Liu et al., 2019) | ECG+PPG | Internal | subject split | 2.219158 | 2.071283 | NaN | NaN |
Cuff-less blood pressure measurement using fingertip photoplethysmogram signals and physiological characteristics (Yang et al., 2018) | biometrics+PPG | PPG-BP | subject split | 1.621321 | 2.112167 | NaN | NaN |
Cuff-less blood pressure measurement using fingertip photoplethysmogram signals and physiological characteristics (Yang et al., 2018) | PPG | PPG-BP | subject split | 1.435211 | 1.426187 | NaN | NaN |
Cuffless Deep Learning-Based Blood Pressure Estimation for Smart Wristwatches (Song et al., 2020) | ECG+PPG | Internal | subject split | 1.716667 | 1.566667 | NaN | NaN |
eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear (Bui et al., 2019) | contact pressure+PPG | Internal | subject split | 1.481944 | 1.632911 | NaN | NaN |
Estimating blood pressure via artificial neural networks based on measured photoplethysmography waveforms (Priyanka et al., 2018) | PPG | Internal | subject split | 2.682051 | 3.477778 | NaN | NaN |
Feasibility of Noninvasive Blood Pressure Measurement using a Chest-worn Patch Sensor (Selvaraj et al., 2018) | ECG+PCG+PPG | Internal | subject split | 1.204545 | 1.340000 | NaN | NaN |
Feature Extraction and Parameter Estimation of Vital Signs for Wearable Multi-Channel Patient Monitoring System (Arunbhai et al., 2020) | ECG+PPG | MIMIC | subject split | 1.131364 | 1.139660 | NaN | NaN |
Finger-Wearable Blood Pressure Monitor (Narasimhan et al., 2018) | pressure sensor | Internal | subject split | 1.478261 | 1.242857 | NaN | NaN |
Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology (Ruiz-Rodríguez et al., 2013) | PPG | Internal | subject split | 1.076486 | 1.111623 | NaN | NaN |
KD-Informer: Cuff-Less Continuous Blood Pressure Waveform Estimation Approach Based on Single Photoplethysmography (Ma et al., 2022) | PPG | MIMIC | subject split | 5.084317 | 4.868217 | Unavailable. Pseudo-code available | NaN |
KD-Informer: Cuff-Less Continuous Blood Pressure Waveform Estimation Approach Based on Single Photoplethysmography (Ma et al., 2022) | PPG | Internal | subject split | 4.232804 | 4.022008 | Unavailable. Pseudo-code available | NaN |
Measurement of central systolic blood pressure by pulse volume plethysmography with a noninvasive blood pressure monitor. (Sung et al., 2012) | contact pressure+ECG+PCG+PPG | Internal | subject split | 3.174603 | 1.587302 | NaN | NaN |
Measurement of central systolic blood pressure by pulse volume plethysmography with a noninvasive blood pressure monitor. (Sung et al., 2012) | contact pressure+ECG+PCG+PPG | Internal | subject split | 2.047619 | 0.830769 | NaN | NaN |
Non-invasive cuff-less blood pressure estimation using a hybrid deep learning model (Yang et al., 2021) | biometrics+ECG+PPG | Internal | subject split | 3.705263 | 1.921182 | NaN | NaN |
Non-invasive cuffless blood pressure and heart rate monitoring using impedance cardiography (Ghosh et al., 2021) | ICG | Internal | subject split | 4.347826 | 1.250000 | NaN | NaN |
Non-invasive cuffless blood pressure and heart rate monitoring using impedance cardiography (Ghosh et al., 2021) | ICG | Internal | subject split | 3.421053 | 1.707317 | NaN | NaN |
Novel algorithms for cardiovascular parameters' estimation for long term monitoring systems (Al-Jaafreh et al., 2009) | PPG | MIMIC | subject split | 1.100725 | 1.109302 | NaN | NaN |
Novel Statistical Post Processing to Improve Blood Pressure Estimation from Smartphone Photoplethysmogram (Datta et al., 2017) | PPG | Internal | subject split | 1.507159 | 1.307967 | NaN | NaN |
Photoplethysmography fast upstroke time intervals can be useful features for cuff-less measurement of blood pressure changes in humans (Natarajan et al., 2021) | ECG+PPG | Internal | personalization | 1.146067 | 0.984615 | NaN | NaN |
Prediction Algorithms for Blood Pressure Based on Pulse Wave Velocity Using Health Checkup Data in Healthy Korean Men: Algorithm Development and Validation (Park et al., 2021) | PPG+PPG | Internal | subject split | 1.664499 | 1.532125 | NaN | NaN |
Prediction Algorithms for Blood Pressure Based on Pulse Wave Velocity Using Health Checkup Data in Healthy Korean Men: Algorithm Development and Validation (Park et al., 2021) | PPG+PPG | Internal | subject split | 1.356629 | 1.191554 | NaN | NaN |
Progress on the development of the MediWatch ambulatory blood pressure monitor and related devices (Ng et al., 2004) | tonometer | Internal | personalization | 0.885638 | 0.871429 | NaN | NaN |
Pulse Arrival Time Based Cuff-Less and 24-H Wearable Blood Pressure Monitoring and its Diagnostic Value in Hypertension (Zheng et al., 2016) | ECG+PPG | Internal | personalization | 1.021429 | 0.890000 | NaN | NaN |
Pulse Arrival Time Based Cuff-Less and 24-H Wearable Blood Pressure Monitoring and its Diagnostic Value in Hypertension (Zheng et al., 2016) | ECG+PPG | Internal | personalization | 1.545455 | 1.194030 | NaN | NaN |
Real-time, Cuff-less and Non-invasive Blood Pressure Monitoring (Abolhasani et al., 2020) | ultrasound | Internal | subject split | 2.485677 | 2.586534 | NaN | NaN |
Smartphone-based blood pressure monitoring via the oscillometric finger-pressing method (Chandrasekhar et al., 2018) | contact pressure+PPG | Internal | subject split | 1.537500 | 1.632468 | NaN | NaN |
SVR ensemble-based continuous blood pressure prediction using multi-channel photoplethysmogram (Fong et al., 2019) | PPG+PPG | Internal | subject split | 2.348554 | 0.962637 | NaN | NaN |
Unobtrusive Blood Pressure Estimation using Personalized Autoregressive Models (Zheng et al., 2020) | ECG+PPG | Internal | personalization | 1.265060 | 1.425926 | NaN | NaN |
Unobtrusive cuff-less arterial blood pressure measurement and cardiovascular risk evaluation (Zheng et al., 2014) | ECG+PPG | Internal | personalization | 1.731707 | 0.600000 | NaN | NaN |
Validation and acceptability of a cuffless wrist-worn wearable blood pressure monitoring device among users and health care professionals: mixed methods … (Islam et al., 2019) | PPG | Internal | subject split | 0.946970 | 0.782269 | NaN | NaN |
Validation and acceptability of a cuffless wrist-worn wearable blood pressure monitoring device among users and health care professionals: mixed methods … (Islam et al., 2019) | PPG | Internal | subject split | 0.946970 | 0.782269 | NaN | NaN |
Windkessel Model-Based Cuffless Blood Pressure Estimation Using Continuous Wave Doppler Ultrasound System (Jana et al., 2020) | ultrasound | Internal | subject split | 1.570330 | 1.094268 | NaN | NaN |
A new approach for blood pressure estimation based on phonocardiogram (Omari et al., 2019) | biometrics+PCG | Internal | subject split | 1.638865 | 1.942675 | NaN | NaN |
Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network (Slapničar et al., 2019) | PPG | MIMIC | subject split | 1.801842 | 1.185870 | Available | Available |
Comparison of Different Machine Learning Techniques for the Cuffless Estimation of Blood Pressure using PPG Signals (Kilickaya et al., 2020) | biometrics+PPG | PPG-BP | subject split | 1.163154 | 1.056555 | NaN | NaN |
Cuffless and Continuous Blood Pressure Monitoring Using a Single Chest-Worn Device (Park et al., 2019) | PPG+SCG | Internal | subject split | 1.422064 | 0.882905 | NaN | NaN |
Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring (Kachuee et al., 2017) | ECG+PPG | MIMIC | subject split | 1.335760 | 1.372063 | Unavailable. Check github profile. | Available |
HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive Population (Sasso et al., 2020) | PPG | EVAL Stress Test | subject split | 1.458277 | 1.479224 | Available | Available |
MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks (Huang et al., 2022) | ECG+PPG | MIMIC | subject split | 4.238762 | 3.446262 | Available | NaN |
MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks (Huang et al., 2022) | ECG+PPG | MIMIC+UoQ | subject split | 3.398734 | 2.889976 | Available | NaN |
Multi-level information fusion for learning a blood pressure predictive model using sensor data (Simjanoska et al., 2020) | ECG | CHARIS | subject split | 1.004085 | 1.015489 | NaN | NaN |
Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques (Simjanoska et al., 2018) | ECG | CHARIS | subject split | 1.929144 | 0.515556 | NaN | NaN |
Pulse arrival time as a surrogate of blood pressure (Finnegan et al., 2021) | ECG+PPG | Internal | subject split | 2.703942 | 2.079593 | Available | NaN |
Pulse arrival time as a surrogate of blood pressure (Finnegan et al., 2021) | ECG+ICG+PPG | Internal | subject split | 2.561629 | 1.987950 | Available | NaN |
Study of cuffless blood pressure estimation method based on multiple physiological parameters (Zhang et al., 2021) | ECG+PPG | MIMIC+VitalDB | subject split | 1.621225 | 1.652441 | NaN | NaN |
The accuracy of blood pressure measurement by a smartwatch and a portable health device (Helmond et al., 2019) | ECG+PPG | Internal | personalization | 1.364430 | 1.297764 | NaN | NaN |
The influence of physiological characteristics on blood pressure estimation using only PPG signals (Sen et al., 2019) | biometrics+PPG | PPG-BP | subject split | 1.779091 | 1.682068 | NaN | NaN |
Towards a portable-noninvasive blood pressure monitoring system utilizing the photoplethysmogram signal (Dagamseh et al., 2021) | PPG | Internal | subject split | 4.082991 | 5.214932 | NaN | NaN |
Wrist-worn blood pressure tracking in healthy free-living individuals using neural networks (Radha et al., 2018) | PPG | Internal | subject split | 0.321836 | 0.322378 | NaN | NaN |