Results 41 to 50 of about 528 (146)

Developed wearable miniature sensor to diagnose initial perturbations of cardiorespiratory system

Healthcare Technology Letters, Volume 5, Issue 6, Page 231-235, December 2018., 2018
The progress of microelectromechanical systems tends to fabricate miniature motion sensors that can be used for various purposes of biomedical systems, particularly on‐body applications. A miniature wireless sensor is developed that not only monitors heartbeat and respiration rate based on chest movements but also identifies initial problems in the ...
Reza Abbasi‐Kesbi, Alireza Nikfarjam, Ardalan Akhavan Hezaveh   +2 more
wiley   +1 more source

Cardiorespiratory system monitoring using a developed acoustic sensor

Healthcare Technology Letters, Volume 5, Issue 1, Page 7-12, February 2018., 2018
This Letter proposes a wireless acoustic sensor for monitoring heartbeat and respiration rate based on phonocardiogram (PCG). The developed sensor comprises a processor, a transceiver which operates at industrial, scientific and medical band and the frequency of 2.54 GHz as well as two capacitor microphones which one for recording the heartbeat and ...
Reza Abbasi‐Kesbi, Atefeh Valipour, Khadije Imani   +2 more
wiley   +1 more source

Accelerometer‐Based Method for Extracting Respiratory and Cardiac Gating Information for Dual Gating during Nuclear Medicine Imaging

International Journal of Biomedical Imaging, Volume 2014, Issue 1, 2014., 2014
Both respiratory and cardiac motions reduce the quality and consistency of medical imaging specifically in nuclear medicine imaging. Motion artifacts can be eliminated by gating the image acquisition based on the respiratory phase and cardiac contractions throughout the medical imaging procedure.
Mojtaba Jafari Tadi, Tero Koivisto, Mikko Pänkäälä, Ari Paasio, Jyh-Cheng Chen   +4 more
wiley   +1 more source

Machine Learning Enhanced Multimodal Bioelectronics: Advancement Toward Intelligent Healthcare Systems

Advanced Sensor Research, Volume 4, Issue 7, July 2025.
This review examines recent advancements in multimodal bioelectronics, emphasizing machine learning integration to enhance functionality. The application of machine learning methodologies improving biosignal processing, device adaptability, and diagnostic accuracy is discussed to introduce Machine Learning enhanced bioelectronics as a pathway toward ...
Myoungjae Oh, Enji Kim, Jakyoung Lee, Inhea Jeong, Eunmin Kim, Joonho Paek, Taekyeong Lee, Dayeon Kim, Seung Hyun An, Sumin Kim, Jung Ah Lim, Jang‐Ung Park   +11 more
wiley   +1 more source

Deep Learning-Based Translation of Compressed Seismocardiogram Into Electrocardiogram and Breathing Signals

IEEE Access
Wireless wearable biosignal monitoring systems face two major challenges: 1) the large volume of data generated during long-term monitoring, which heavily burdens storage and transmission, and 2) the need to use many electrodes or sensors, which is ...
Cheolsun Kim, Ji Heon Lee, Chan-Hwa Hong, Hye Jin Kim, Young-Kyu Hong   +4 more
doaj   +1 more source

Advancements in wearable heart sounds devices for the monitoring of cardiovascular diseases

SmartMat, Volume 6, Issue 1, February 2025.
This article presents the recent advancements in wearable and flexible heart sound devices, focusing on their mechanics, types of sensors, flexible sensing materials, and prospective denoising techniques. Furthermore, the potential applications of heart sounds for the monitoring of cardiovascular diseases are reviewed as well along with its future ...
Rafi u Shan Ahmad, Muhammad Shehzad Khan, Mohamed Elhousseini Hilal, Bangul Khan, Yuanting Zhang, Bee Luan Khoo   +5 more
wiley   +1 more source

A comparison of heartbeat detectors for the seismocardiogram [PDF]

, 2013
The study aimed to study the accuracy in RR time series derived from the seismocardiogram when employing different heartbeat detectors in subjects measured in a quiet environment.
Argelagós Palou, Ariadna, Fernández Chimeno, Mireya, García González, Miguel Ángel, Ramos Castro, Juan José   +3 more
core  

Beyond Flexible: Unveiling the Next Era of Flexible Electronic Systems

Advanced Materials, Volume 36, Issue 51, December 19, 2024.
Flexible electronics are essential in various fields like wearables, healthcare, and environmental sensing due to their flexibility, lightweight construction, and low profile. These systems conform to diverse surfaces, enhancing or replacing bulky instruments in many applications.
Min Sung Kim, Amani S. Almuslem, Wedyan Babatain, Rabab R. Bahabry, Uttam K. Das, Nazek El‐Atab, Mohamed Ghoneim, Aftab M. Hussain, Arwa T. Kutbee, Joanna Nassar, Nadeem Qaiser, Jhonathan P. Rojas, Sohail F. Shaikh, Galo A. Torres Sevilla, Muhammad M. Hussain   +14 more
wiley   +1 more source

MMW‐FC: A novel railway fastener detecting method based on millimetre wave radar for train positioning

IET Radar, Sonar &Navigation, Volume 18, Issue 7, Page 1094-1105, July 2024.
A novel method is proposed for rail fastener detection based on millimetre‐wave radar, which can accurately detect and enumerate the fasteners in real‐time as the train traverses its route. Under circumstances where GNSS signals remain unavailable for prolonged durations, precise train localisation can be accomplished by correlating the number of ...
Yangang Sun, Jinhai Li, Chaosan Yang, Zhankun Du, Jifeng Zhang, Xin Qiu   +5 more
wiley   +1 more source

Reconstruction of 3-Axis Seismocardiogram from Right-to-left and Head-to-foot Components Using A Long Short-Term Memory Network

, 2023
This pilot study aims to develop a deep learning model for predicting seismocardiogram (SCG) signals in the dorsoventral direction from the SCG signals in the right-to-left and head-to-foot directions ($\textrm{SCG}_x$ and $\textrm{SCG}_y$).
Rahman, Mohammad Muntasir, Taebi, Amirtahà   +1 more
core   +1 more source