Embedded real-time fall detection with deep learning on wearable devices
Unintentional falls are the leading cause of fatal injuries and nonfatal trauma among older
adults. An automated monitoring system that detects occurring falls and issues remote …
adults. An automated monitoring system that detects occurring falls and issues remote …
A fetal ECG monitoring system based on the android smartphone
L Yuan, Y Yuan, Z Zhou, Y Bai, S Wu - Sensors, 2019 - mdpi.com
In this paper, a fetal electrocardiogram (ECG) monitoring system based on the Android
smartphone was proposed. We designed a portable low-power fetal ECG collector, which …
smartphone was proposed. We designed a portable low-power fetal ECG collector, which …
Embedding recurrent neural networks in wearable systems for real-time fall detection
Accidental falls are the preminent cause of fatal injuries and the most common cause of
nonfatal trauma-related hospital admissions among elderly adults. An automated monitoring …
nonfatal trauma-related hospital admissions among elderly adults. An automated monitoring …
Fault-tolerant medical imaging system with quintuple modular redundancy (QMR) configurations
E Abdulhay, V Elamaran, N Arunkumar… - Journal of Ambient …, 2018 - Springer
The reliability issues are major concern in safety, mission, and business-critical applications
such as Aircraft flight control, Aerospace applications, Defense communications, Bank …
such as Aircraft flight control, Aerospace applications, Defense communications, Bank …
Antepartum fetal monitoring through a wearable system and a mobile application
Prenatal monitoring of Fetal Heart Rate (FHR) is crucial for the prevention of fetal
pathologies and unfavorable deliveries. However, the most commonly used …
pathologies and unfavorable deliveries. However, the most commonly used …
Fetal ECG extraction via type-2 adaptive neuro-fuzzy inference systems
H Ahmadieh, BM Asl - Computer Methods and Programs in Biomedicine, 2017 - Elsevier
Abstract Background and Objective We proposed a noninvasive method for separating the
fetal ECG (FECG) from maternal ECG (MECG) by using Type-2 adaptive neuro-fuzzy …
fetal ECG (FECG) from maternal ECG (MECG) by using Type-2 adaptive neuro-fuzzy …
Efficient implementation of LMS adaptive filter‐based FECG extraction on an FPGA
In this Letter, the field programmable gate array (FPGA) implementation of a foetal heart rate
(FHR) monitoring system is presented. The system comprises a preprocessing unit to …
(FHR) monitoring system is presented. The system comprises a preprocessing unit to …
The Development and Implementation of Innovative Blind Source Separation Techniques for Real-Time Extraction and Analysis of Fetal and Maternal …
This article presents an innovative approach to analyzing and extracting electrocardiogram
(ECG) signals from the abdomen and thorax of pregnant women, with the primary goal of …
(ECG) signals from the abdomen and thorax of pregnant women, with the primary goal of …
A low power and real-time hardware recurrent neural network for time series analysis on wearable devices
E Torti, C D'Amato, G Danese, F Leporati - Microprocessors and …, 2021 - Elsevier
The research presented in this paper addresses the exploitation of Deep Learning methods
on wearable devices. We propose a hardware architecture capable of analyzing time series …
on wearable devices. We propose a hardware architecture capable of analyzing time series …
[HTML][HTML] A portable prototype for diagnosing fetal arrhythmia
A Corona-Figueroa - Informatics in Medicine Unlocked, 2019 - Elsevier
Expert knowledge and proper techniques are necessary for diagnosing and treating fetal
cardiac disease. Fetal arrhythmia represents an important part of fetal cardiac disease as it …
cardiac disease. Fetal arrhythmia represents an important part of fetal cardiac disease as it …