Saman Parvaneh

Saman Parvaneh
Edwards Lifesciences · THV

PhD

About

91
Publications
18,637
Reads
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1,036
Citations
Citations since 2016
52 Research Items
956 Citations
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Introduction
Senior biomedical engineer with over a decade of research experience in multiple technology areas related to both acute and chronic disease (geriatric-related disease, cardiovascular disease, and diabetes).
Additional affiliations
July 2021 - present
Edwards Lifesciences
Position
  • Distinguished Data Science
January 2020 - July 2021
Edwards Lifesciences
Position
  • Analyst
October 2016 - January 2020
Philips
Position
  • Senior Researcher

Publications

Publications (91)
Conference Paper
Automatic lying posture tracking is an important factor in human health monitoring. The increasing popularity of the wrist-based trackers provides the means for unobtrusive, affordable, and long-term monitoring with minimized privacy concerns for the end-users and promising results in detecting the type of physical activity, step counting, and slee...
Article
Full-text available
Background: The true incidence of abnormal vital signs on post-surgical wards may be seriously underestimated based on nurse obtained conventional measurement. We sought to determine the incidence and severity of postoperative tachycardia, bradycardia and hypoxemia detected by continuous remote automated monitoring (RAM) versus the incidence of the...
Article
Full-text available
Background Previous research showed association between frailty and an impaired autonomic nervous system; however, the direct effect of frailty on heart rate (HR) behavior during physical activity is unclear. The purpose of the current study was to determine the association between HR increase and decrease with frailty during a localized upper-extr...
Article
Previous research showed that frailty can influence autonomic nervous system and consequently heart rate response to physical activities, which can ultimately influence the homeostatic state among older adults. While most studies have focused on resting state heart rate characteristics or heart rate monitoring without controlling for physical activ...
Article
Full-text available
IntroductionResearch suggests that frailty not only influence individual systems, but also it affects the interconnection between them. However, no study exists to show how the interplay between cardiovascular and motor performance is compromised with frailty.AimTo investigate the effect of frailty on the association between heart rate (HR) dynamic...
Preprint
Full-text available
Background: Previous research showed association between frailty and an impaired autonomic nervous system; however, the direct effect of frailty on heart rate (HR) behavior during physical activity is unclear. The purpose of the current study was to determine the association between HR increase and decrease with frailty during a localized upper-ext...
Conference Paper
Full-text available
The Poincare plot is a geometrical representation of RR time series to study heart rate dynamics. Analysis of Poincare plot with different lags provides insights into the autonomic control of the heart. In this research, various descriptors of points in the Poincare plot of RR time series reconstructed in 10 different lags are used for detecting sl...
Conference Paper
Full-text available
ECG is an essential tool for the clinical diagnosis of cardiac electrical abnormalities. As part of the PhysioNet/Computing in Cardiology Challenge 2021, eight and two folds from the 10-folds iterative splitting of public training data set were used as in-house training and internal validation sets. We used extracted features from RandOm Convolutio...
Conference Paper
Hospital-acquired pressure injuries (PI) are associated with longer hospital stays, pain, infection, and higher care costs. The traditional assessment techniques such as Braden scale, the most widely used PI risk assessment tool, lack predictive power. This study implements a machine learning algorithm using XGBoost and Braden subscales as its inpu...
Article
Background Although previous studies showed that frail older adults are more susceptible to develop cardiovascular diseases, the underlying effect of frailty on heart rate dynamics is still unclear. The goal of the current study was to measure heart rate changes due to normal speed and rapid walking among non-frail and pre-frail/frail older adults,...
Article
Full-text available
Automated lying-posture tracking is important in preventing bed-related disorders, such as pressure injuries, sleep apnea, and lower-back pain. Prior research studied in-bed lying posture tracking using sensors of different modalities (e.g., accelerometer and pressure sensors). However, there remain significant gaps in research regarding how to des...
Conference Paper
Full-text available
The main goal of this study is to develop an automatic classification algorithm for normal sinus rhythm (NSR) versus Atrial Fibrillation (AF) from a single channel short ECG segment. For this purpose, AF and NSR from PhysioNet/Computing in Cardiology Challenge 2017 training dataset were used in this study. RR intervals were extracted using GQRS alg...
Preprint
There exist significant gaps in research about how to design efficient in-bed lying posture tracking systems. These gaps can be articulated through several research questions as follows. First, can we design a single-sensor, pervasive, and inexpensive system that can accurately detect lying postures? Second, what computational models are most effec...
Article
Development of post-operative atrial fibrillation (POAF) following open-heart surgery is a significant clinical and economic burden. Despite advancements in medical therapies, the incidence of POAF remains elevated at 25-40%. Early work focused on detecting arrhythmias from electrocardiograms as well as identifying pre-operative risk factors from m...
Article
Due to its simplicity and low cost, analyzing an electrocardiogram (ECG) is the most common technique for detecting cardiac arrhythmia. The massive amount of ECG data collected every day, in home and hospital, may preclude data review by human operators/technicians. Therefore, several methods are proposed for either fully automatic arrhythmia detec...
Conference Paper
Nurses in a hospital are responsible for the monitoring and care of a large number of patients. Regularly checking if patients are sufficiently covered by their blankets is part of a nurse's normal workload. In this paper, an algorithm based on 3D images is proposed that can automatically and unobtrusively detect if a patient is covered with a blan...
Preprint
Full-text available
The visual scoring of arousals during sleep routinely conducted by sleep experts is a challenging task warranting an automatic approach. This paper presents an algorithm for automatic detection of arousals during sleep. Using the Physionet/CinC Challenge dataset, an 80-20% subject-level split was performed to create in-house training and test sets,...
Conference Paper
Full-text available
Cardiac arrhythmia can lead to morbidity and mortality and is a substantial economic burden. Electrocardiogram (ECG) monitoring is widely used to detect arrhythmia. The number of ECG recordings is increasing due to aging populations and availability of easy-to-use wearable devices. Manual interpretation of the high volume of recorded ECGs might not...
Conference Paper
Full-text available
The Poincare plot is a geometrical representation of RR time series constructed by plotting successive RR intervals on a 2D phase space. In this article, the impact of age on the shape of Poincare plot of RR intervals and extracted features for quantification of this space is considered. Fantasia database from Physionet databank is used in this pap...
Conference Paper
Full-text available
The visual scoring of arousals during sleep routinely conducted by sleep experts is a challenging task warranting an automatic approach. This paper presents an algorithm for automatic detection of arousals during sleep. Using the Physionet/CinC Challenge dataset, an 80-20% subject-level split was performed to create in-house training and test sets,...
Article
The development of new technology such as wearables that record high-quality single channel ECG, provides an opportunity for ECG screening in a larger population, especially for atrial fibrillation screening. The main goal of this study is to develop an automatic classification algorithm for normal sinus rhythm (NSR), atrial fibrillation (AF), othe...
Article
Objective: Prevalence of Atrial Fibrillation (AF) in the general population is 0.5-1%. As AF is the most common sustained cardiac arrhythmia that is associated with an increased morbidity and mortality, its timely diagnosis is clinically desirable. The main aim of this study as our contribution to PhysioNet/CinC challenge 2017 was to develop an aut...
Conference Paper
For older adults living independently or living alone for part of a day, unrecognized and unmitigated home safety hazards are a leading risk factor for injury resulting in adverse outcomes. We propose a system that uses existing utility monitors combined with external factors along with deep learning-based anomaly detection algorithm to identify po...
Patent
The described embodiments relate to computing devices capable of assessing handgrip strength, and using data collected during a handgrip strength assessment to assist a user or medical provider. The computing device can include an array of pressure sensitive elements to determine a force of pressure applied at different locations on the computing d...
Patent
A non-transitory computer-readable medium stores instructions readable and executable by at least one electronic processor (20) to perform an atrial fibrillation (AF) detection method (100). The method includes: generating a time-frequency representation of an electrocardiogram (ECG) signal acquired over a time interval; processing the time-frequen...
Conference Paper
Full-text available
Sleep apnea detection using ECG-derived parameters is non-invasive and inexpensive. This article presents novel ECG-derived features to be used in conjunction with existing standard features for improving the detection of sleep apnea. The features presented here were derived using Poincare plots of RR intervals. Global features are based on countin...
Conference Paper
Full-text available
Food intake induces significant changes in heart rate (HR) and heart rate variability (HRV) among healthy individuals. It is known that the cardiac autonomic nervous system (CANS) is impaired in patients with type 2 diabetes. The main goal of this pilot study was to investigate whether snack intake can affect CANS in this patient population. For th...
Conference Paper
Full-text available
Heart rate asymmetry (HRA) quantifies imbalance of heart rate acceleration and deceleration. The impact of different colored lights on autonomic nervous system captured by HRA was studied in this paper. Using electrocardiogram (ECG) data for 16 female volunteers exposed to four different colored lights (red, green, blue, and yellow), three common H...
Conference Paper
Full-text available
In this paper, extracted features from Parabolic Phase Space Mapping (PPSM) of RR time series and its extended version were used to distinguish four emotionstates (energetic, calm, happy, and anxious) induced by picture stimuli. In order to induce emotions, four groups of pictures with different emotional concepts were used as a visual stimulus whi...
Conference Paper
Full-text available
Early diagnosis of cardiac arrhythmia is important for a better management of arrhythmia. The main goal of this article was to compare conventional and new features extracted from Poincare plot between normal sinus rhythm, atrial fibrillation, acute myocardial infarction, and congestive heart failure. Furthermore, extracted features from Poincare p...
Conference Paper
Full-text available
Traditional features extracted from Poincare plot (e.g., SD1 and SD2) ignore temporal information and only quantify point distribution. In this article, a new feature set is proposed to capture the dynamic of point distribution in the Poincare plot. For quantification of temporal information in Poincare plot, extracted ADP features (angle, directio...
Conference Paper
Full-text available
The development of new technology such as wearables that record high-quality single channel ECG, provides an opportunity for ECG screening in a larger population, especially for atrial fibrillation screening. The main goal of this study is to develop an automatic classification algorithm for normal sinus rhythm (NSR), atrial fibrillation (AF), othe...
Article
Background: Impairment of physical function is a major indicator of frailty. Functional performance tests have been shown to be useful for identification of frailty in older adults. However, these tests are often not translatable into unsupervised and remote monitoring of frailty status at home and/or community settings. Objective: In this study...
Conference Paper
Full-text available
The goal of the 2016 PhysioNet/CinC Challenge is the development of an algorithm to classify normal/abnormal heart sounds. A total of 124 time-frequency features were extracted from the phonocardiogram (PCG) and input to a variant of the AdaBoost classifier. A second classifier using convolutional neural network (CNN) was trained using PCGs cardiac...
Conference Paper
Full-text available
Uni-channel ECG was recorded using a wearable-sensor in 45 female elders aged 65 and above. Participants were categorized as non-fallers (n=22) and fallers (n=23) based on historical report of falling in the last 12 month. For data analysis, PVC episodes were extracted using an automatic code developed in Matlab, and checked manually by an expert t...
Conference Paper
Full-text available
An increased prevalence of ventricular ectopy (Premature Ventricular Contraction, PVC) is associated with increased incidence of congestive heart failure and increased mortality. Increase in incidence of ventricular ectopy with age has been demonstrated in previous studies, but to the best of our knowledge, its association with frailty, a geriatric...
Article
Background: Atrial fibrillation (AF) is a common heart arrhythmia with a prevalence of 0.4% in the general population. Detection of spontaneous termination of AF is a challenging task, however it can prevent unnecessary intervention and help in better management of patients. A new method based on study of ECG in phase space was utilized to discrimi...
Article
Background: The adverse effects of stress on the wellness of trauma team members is well established, however, the level of stress has never been quantitatively assessed. The aim of our study was to assess the level of stress using subjective data and objective heart rate variability (HRV) among attending surgeons (AS), junior (JR) (PGY2/PGY3), an...
Conference Paper
Full-text available
Background: Atrial fibrillation (AF) is a common heart arrhythmia with a prevalence of 0.4% in the general population. Detection of spontaneous termination of AF is a challenging task, however, it can prevent unnecessary intervention and help in better management of patients. A new method based on study of ECG in phase space was utilized to discrim...
Conference Paper
Full-text available
Background: Assessment of fall-risk in patients with diabetic peripheral neuropathy (DPN) can facilitate timely intervention to prevent fall. This study examined heart rate (HR) response during simple postural balance (PB) test to objectively assess fall-risk. Methods: 18 DPN patients (Age: 56.8±7.7 years) were recruited and categorized as fallers...
Conference Paper
Full-text available
Low and high valence were induced in 20 male volunteers using two groups of pictures stimuli. Heart response was compared between two groups from RR series extracted from recorded ECG measurements. Mean heart rate and heart rate variability measures including time, frequency and Poincare domain were extracted. The results revealed that HRV triangul...
Conference Paper
Full-text available
This article studies the impact of mental stress induced by open-road driving on heart rate asymmetry (HRA), a physiological phenomenon that quantifies imbalance of heart rate acceleration and deceleration. Using ECG data of 10 individuals from a retrospective database from Physionet, three common HRA indexes (i.e., Porta Index-PI, Guzik Index-GI,...
Article
Frailty is a geriatric syndrome that leads to impairment in interrelated physiological systems and progressive homeostatic dysregulation in physiological systems. The focus of the present systematic review was to study the association between the activity of the cardiac autonomic nervous system (ANS) and frailty. A systematic literature search was...
Article
Full-text available
Advances in wearable technology allow for the objective assessment of motor performance in both in-home and in-clinic environments and were used to explore motor impairments in Parkinson's disease (PD). The aims of this study were to: 1) assess differences between in-clinic and in-home gait speed, and sit-to-stand and stand-to-sit duration in PD pa...
Patent
Full-text available
Methods, devices, and systems according to present principles provide ways to diagnose frailty and assess the severity of its clinical status—e.g., non-frail, pre-frail, and frail, especially as measured and quantified during activities of daily living. Systems and methods according to present principles objectively quantify physical activity behav...
Article
Full-text available
Background: Individuals with diabetic peripheral neuropathy (DPN) have deficits in sensory and motor skills leading to inadequate proprioceptive feedback, impaired postural balance and higher fall risk. Objective: This study investigated the effect of sensor-based interactive balance training on postural stability and daily physical activity in old...
Conference Paper
Background: Clinical frailty leads to a progressive homeostatic dysregulation in physiological systems, including cardiac autonomic nervous system (CANS). Reduction of heart rate variability (HRV) and sympathovagal balance (SVB) reflect this multisystem homeostenosis. Our objective was to develop HRV and SVB algorithms based on acquired ECG data us...
Conference Paper
Full-text available
Background: Undetected repeated foot loading and temperature changes during walking in diabetic patients with peripheral neuropathy significantly increases risk of foot ulceration. Early detection of inflammation due to foot temperature and pressure changes from walking has shown to be a potentially effective strategy in prevention of foot ulcers....
Conference Paper
Objective(s): 1) To explore the practicality of using an innovative wearable sensor to monitor activity behavior of hospitalized patients, 2) To explore the association between sleep quality or activity behavior during night time, with risk of falling, 3) to identify sensitive activity related parameters for falls and risk of readmission in hospita...
Conference Paper
Full-text available
web: http://surgery.arizona.edu/iCAMP Abstract Trans-catheter Aortic Valve Implantation (TAVI) is an endovascular treatment for critical aortic stenosis. An early " learning curve " is important drawback of TAVI that can dramatically alter patient safety and hospital costs. There is paucity of data regarding the quantification of learning experienc...
Article
Purpose: Approximately 80% of lower extremity amputations are preceded by diabetic foot ulcers (DFU). It has been reported that stress is an important risk factor for slower wound healing and susceptibility to infection. Patients with DFU are likely to be more prone to chronic stress due to their reduced mobility, which could lead to social isolati...
Conference Paper
OBJECTIVE: Technical challenges associated with robotic cardiac surgery can lead to mental stress in the surgeon. While moderate stress improves performance, severe stress has been shown to reduce surgical skill and lead to poor outcomes. The purpose of this study was to quantify the stress response (SR) in real-time as evidenced by reduced heart r...
Conference Paper
Background: Decrease in ability to perform timed up and go (TUG) has been found to be associated to level of frailty and now with advancement in technology a functional task can be quantified more accurately. However, a functional task still might overtax older adults, therefore the purpose of this study was to evaluate efficacy of TUG for identifi...
Conference Paper
OBJECTIVE: Assessing effectiveness of a standardized electro-acupuncture (EA) regimen for improving balance and gait in patients with idiopathic Parkinson’s Disease (PD) using objective modalities employing innovative body-worn sensor technology.BACKGROUND: Balance and gait disturbances, predictors of falling risk and impaired quality of life, have...