An Efficient Heart Rate Measurement System Using Medical Radar and LSTM Neural Network

An Efficient Heart Rate Measurement System Using Medical Radar and LSTM Neural Network

This research proposes a noncontact heart rate measurement method using medical radar and artificial intelligence techniques. This technique has a significant role in the design and development of a wireless system that monitors the body’s vital signs. Firstly, based on a signal model describing che...

Full description

Bibliographic Details
Main Authors:	Thanh Han-Trong, Hoang Nguyen Viet
Format:	Article
Language:	English
Published:	Hindawi Limited 2022-01-01
Series:	Journal of Electrical and Computer Engineering
Online Access:	http://dx.doi.org/10.1155/2022/4696163

Similar Items

Contactless analysis of heart rate variability during cold pressor test using radar interferometry and bidirectional LSTM networks
by: Kilin Shi, et al.
Published: (2021-02-01)

Medical Radar Signal Dataset for Non-Contact Respiration and Heart Rate Measurement
by: Keisuke Edanami, et al.
Published: (2022-02-01)

Long short-term memory (LSTM) neural networks for short-term water level prediction in Mekong river estuaries
by: Thai Thanh Tran, et al.
Published: (2022-08-01)

Person-Specific Heart Rate Estimation With Ultra-Wideband Radar Using Convolutional Neural Networks
by: Shuqiong Wu, et al.
Published: (2019-01-01)

Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting
by: Xuan-Hien Le, et al.
Published: (2019-07-01)

Kernel Point Convolution LSTM Networks for Radar Point Cloud Segmentation
by: Felix Nobis, et al.
Published: (2021-03-01)

Multi-Headed Conv-LSTM Network for Heart Rate Estimation during Daily Living Activities
by: Michał Wilkosz, et al.
Published: (2021-07-01)

Forecasting electricity consumption by LSTM neural network
by: Vasily Ya. Ushakov, et al.
Published: (2023-12-01)

Prediction of stock return by LSTM neural network
by: Risheng Qiao, et al.
Published: (2022-12-01)

A Clutter Suppression Method Based on LSTM Network for Ground Penetrating Radar
by: Jianrong Geng, et al.
Published: (2022-06-01)

MM-Wave Radar-Based Recognition of Multiple Hand Gestures Using Long Short-Term Memory (LSTM) Neural Network
by: Piotr Grobelny, et al.
Published: (2022-03-01)

Systematic Literature Review Regarding Heart Rate and Respiratory Rate Measurement by Means of Radar Technology
by: Magdalena Liebetruth, et al.
Published: (2024-02-01)

Contactless Heart and Respiration Rates Estimation and Classification of Driver Physiological States Using CW Radar and Temporal Neural Networks
by: Amal El Abbaoui, et al.
Published: (2023-11-01)

A non-contact infection screening system using medical radar and Linux-embedded FPGA: Implementation and preliminary validation
by: Cuong V. Nguyen, et al.
Published: (2019-01-01)

Research on radar clutter recognition method based on LSTM
by: Li Song, et al.
Published: (2019-07-01)

Polarimetric radar target recognition framework based on LSTM
by: Wei Chen, et al.
Published: (2019-09-01)

Performance evaluation of LSTM neural networks for consumption prediction
by: Davi Guimarães da Silva, et al.
Published: (2022-01-01)

Stock market volatility simulation with the LSTM neural network
by: Dmitry Aleksandrovich Patlasov, et al.
Published: (2024-04-01)

Using LSTM neural network for power consumption forecasting
by: Abdurazakov Nosirbek, et al.
Published: (2024-01-01)

Sequential Fault Diagnosis Based on LSTM Neural Network
by: Haitao Zhao, et al.
Published: (2018-01-01)

Statistical and neural classifiers in estimating rain rate from weather radar measurements
by: S. C. Michaelides, et al.
Published: (2007-04-01)

Research on Leak Detection Algorithms Based on CNN-LSTM Neural Networks
by: Jiahao HAN, et al.
Published: (2022-09-01)

Motion-Tolerant Non-Contact Heart-Rate Measurements from Radar Sensor Fusion
by: Yu Rong, et al.
Published: (2021-03-01)

Remote Measurement of Short-Term Heart Rate With Narrow Beam Millimeter Wave Radar
by: Wenjie Lv, et al.
Published: (2021-01-01)

Real‐time photoplethysmographic heart rate measurement using deep neural network filters
by: Ji Woon Kim, et al.
Published: (2021-10-01)

A Disentangled VAE-BiLSTM Model for Heart Rate Anomaly Detection
by: Alessio Staffini, et al.
Published: (2023-06-01)

Efficient Prediction of Court Judgments Using an LSTM+CNN Neural Network Model with an Optimal Feature Set
by: Daniyal Alghazzawi, et al.
Published: (2022-02-01)

Extrapolation method of precipitation nowcasting radar echo based on GCA-ConvLSTM prediction network
by: Wei FANG, et al.
Published: (2023-08-01)

The Use of LSTM Neural Networks to Implement the NARX Model. A Case Study of EUR-USD Exchange Rates
by: Catalina Lucia COCIANU, et al.
Published: (2020-01-01)

Forecasting of the Prevalence of Dementia Using the LSTM Neural Network in Taiwan
by: Stephanie Yang, et al.
Published: (2021-02-01)

Speech emotion recognition based on Graph-LSTM neural network
by: Yan Li, et al.
Published: (2023-10-01)

Prediction of Key Parameters of Wheelset Based on LSTM Neural Network
by: Duo Ye, et al.
Published: (2023-10-01)

Business Purchase Prediction Based on XAI and LSTM Neural Networks
by: Bratislav Predić, et al.
Published: (2023-11-01)

Forecasting crude oil price using LSTM neural networks
by: Kexian Zhang, et al.
Published: (2022-07-01)

Building LSTM neural network based speaker identification system
by: Laurynas Dovydaitis, et al.
Published: (2018-06-01)

Spatiotemporal prediction of air quality based on LSTM neural network
by: Dewen Seng, et al.
Published: (2021-04-01)

Finger-Vein Verification Based on LSTM Recurrent Neural Networks
by: Huafeng Qin, et al.
Published: (2019-04-01)

Prediction of Sea Surface Temperature in the East China Sea Based on LSTM Neural Network
by: Xiaoyan Jia, et al.
Published: (2022-07-01)

Comparing Long Short-Term Memory (LSTM) and bidirectional LSTM deep neural networks for power consumption prediction
by: Davi Guimarães da Silva, et al.
Published: (2023-11-01)

LSTM-DGMDH: High-Dimensional Index Tracking Based on LSTM and Adaptive Deep Evolutionary GMDH Neural Network
by: He Tong, et al.
Published: (2023-01-01)