Materials-driven soft wearable bioelectronics for connected healthcare
In the era of Internet-of-things, many things can stay connected; however, biological
systems, including those necessary for human health, remain unable to stay connected to …
systems, including those necessary for human health, remain unable to stay connected to …
Heart rate variability in psychology: A review of HRV indices and an analysis tutorial
The use of heart rate variability (HRV) in research has been greatly popularized over the
past decades due to the ease and affordability of HRV collection, coupled with its clinical …
past decades due to the ease and affordability of HRV collection, coupled with its clinical …
Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals
In this study, a deep-transfer learning approach is proposed for the automated diagnosis of
diabetes mellitus (DM), using heart rate (HR) signals obtained from electrocardiogram …
diabetes mellitus (DM), using heart rate (HR) signals obtained from electrocardiogram …
Aging, heart rate variability and patterns of autonomic regulation of the heart
MA Almeida-Santos, JA Barreto-Filho… - Archives of gerontology …, 2016 - Elsevier
Objectives To evaluate the effects of aging, gender and body mass index on the heart rate
variability (HRV), and to compare the patterns of global autonomic regulation (GAR) and …
variability (HRV), and to compare the patterns of global autonomic regulation (GAR) and …
Automated identification of normal and diabetes heart rate signals using nonlinear measures
Diabetes mellitus (DM) affects considerable number of people in the world and the number
of cases is increasing every year. Due to a strong link to the genetic basis of the disease, it is …
of cases is increasing every year. Due to a strong link to the genetic basis of the disease, it is …
Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method
UR Acharya, KS Vidya, DN Ghista, WJE Lim… - Knowledge-based …, 2015 - Elsevier
Diabetes Mellitus (DM), a chronic lifelong condition, is characterized by increased blood
sugar levels. As there is no cure for DM, the major focus lies on controlling the disease …
sugar levels. As there is no cure for DM, the major focus lies on controlling the disease …
[PDF][PDF] QRS detection and heart rate variability analysis: A survey
RJ Oweis, BO Al-Tabbaa - Biomed. Sci. Eng, 2014 - academia.edu
Cardiac-related diseases have been one major cause of death for an ever increasing
number of patients over the last few decades throughout the world. In response, automatic …
number of patients over the last few decades throughout the world. In response, automatic …
Application of empirical mode decomposition for analysis of normal and diabetic RR-interval signals
Large number of people are affected by Diabetes Mellitus (DM) which is difficult to cure due
to its chronic nature and genetic link. The uncontrolled diabetes may lead to heart related …
to its chronic nature and genetic link. The uncontrolled diabetes may lead to heart related …
Diabetes detection and management through photoplethysmographic and electrocardiographic signals analysis: A systematic review
(1) Background: Diabetes mellitus (DM) is a chronic, metabolic disease characterized by
elevated levels of blood glucose. Recently, some studies approached the diabetes care …
elevated levels of blood glucose. Recently, some studies approached the diabetes care …
Spectral analysis of photoplethysmographic signals: The importance of preprocessing
Heart rate variability (HRV) is an important and useful index to assess the responses of the
autonomic nervous system (ANS). HRV analysis is performed using electrocardiography …
autonomic nervous system (ANS). HRV analysis is performed using electrocardiography …