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Article: A Study on CKD Progression and Health Disparities Using System Dynamics Modeling.

Yinusa, Ahmeed / Faezipour, Misagh / Faezipour, Miad

2022 Volume 10, Issue 9

Abstract: Chronic kidney disease (CKD) is one of the most prevalent national health problems in the United States. According to the Center for Disease Control and Prevention (CDC), as of 2019, 37 million of the US's adult population have been estimated to have CKD. ...

Abstract	Chronic kidney disease (CKD) is one of the most prevalent national health problems in the United States. According to the Center for Disease Control and Prevention (CDC), as of 2019, 37 million of the US's adult population have been estimated to have CKD. In this respect, health disparities are major national concerns regarding the treatments for patients with CKD nationwide. The disparities observed in the healthcare interventions for patients with this disease usually indicate some significant healthcare gaps in the national public health system. However, there is a need for immediate intervention to improve the present healthcare conditions of minorities experiencing CKD nationwide. In this research, the application of system dynamics modeling is proposed to model the CKD progression and health disparities. This process is based on the health interventions administered to minorities experiencing CKD. The graphical results from the model show that there are relationships among the dynamic factors influencing the incidence and prevalence of CKD. Hence, healthcare disparities are inherent challenges in the treatment and management of this disease.
Language	English
Publishing date	2022-08-26
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2721009-1
ISSN	2227-9032
ISSN	2227-9032
DOI	10.3390/healthcare10091628
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: PID++: A Computationally Lightweight Humanoid Motion Control Algorithm.

Arciuolo, Thomas F / Faezipour, Miad

Sensors (Basel, Switzerland)

2021 Volume 21, Issue 2

Abstract: Currently robotic motion control algorithms are tedious at best to implement, are lacking in automatic situational adaptability, and tend to be static in nature. Humanoid (human-like) control is little more than a dream, for all, but the fastest ... ...

Abstract	Currently robotic motion control algorithms are tedious at best to implement, are lacking in automatic situational adaptability, and tend to be static in nature. Humanoid (human-like) control is little more than a dream, for all, but the fastest computers. The main idea of the work presented in this paper is to define a radically new, simple, and computationally lightweight approach to humanoid motion control. A new Proportional-Integral-Derivative (PID) controller algorithm called PID++ is proposed in this work that uses minor adjustments with basic arithmetic, based on the real-time encoder position input, to achieve a stable, precise, controlled, dynamic, adaptive control system, for linear motion control, in any direction regardless of load. With no PID coefficients initially specified, the proposed PID++ algorithm dynamically adjusts and updates the PID coefficients Kp, Ki and Kd periodically. No database of values is required to be stored as only the current and previous values of the sensed position with an accurate time base are used in the computations and overwritten in each read interval, eliminating the need of deploying much memory for storing and using vectors or matrices. Complete in its implementation, and truly dynamic and adaptive by design, engineers will be able to use this algorithm in commercial, industrial, biomedical, and space applications alike. With characteristics that are unmistakably human, motion control can be feasibly implemented on even the smallest microcontrollers (MCU) using a single command and without the need of reprogramming or reconfiguration.
MeSH term(s)	Algorithms ; Computer Simulation ; Engineering ; Humans ; Motion ; Robotics
Language	English
Publishing date	2021-01-11
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s21020456
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Article ; Online: Sustainable Smartphone-Based Healthcare Systems

Misagh Faezipour / Miad Faezipour

Sustainability, Vol 12, Iss 5061, p

A Systems Engineering Approach to Assess the Efficacy of Respiratory Monitoring Apps

2020 Volume 5061

Abstract: Recent technological developments along with advances in smart healthcare have been rapidly changing the healthcare industry and improving outcomes for patients. To ensure reliable smartphone-based healthcare interfaces with high levels of efficacy, a ... ...

Abstract	Recent technological developments along with advances in smart healthcare have been rapidly changing the healthcare industry and improving outcomes for patients. To ensure reliable smartphone-based healthcare interfaces with high levels of efficacy, a system dynamics model with sustainability indicators is proposed. The focus of this paper is smartphone-based breathing monitoring systems that could possibly use breathing sounds as the data acquisition input. This can especially be useful for the self-testing procedure of the ongoing global COVID-19 crisis in which the lungs are attacked and breathing is affected. The method of investigation is based on a systems engineering approach using system dynamics modeling. In this paper, first, a causal model for a smartphone-based respiratory function monitoring is introduced. Then, a systems thinking approach is applied to propose a system dynamics model of the smartphone-based respiratory function monitoring system. The system dynamics model investigates the level of efficacy and sustainability of the system by studying the behavior of various factors of the system including patient wellbeing and care, cost, convenience, user friendliness, in addition to other embedded software and hardware breathing monitoring system design and performance metrics (e.g., accuracy, real-time response, etc.). The sustainability level is also studied through introducing various indicators that directly relate to the three pillars of sustainability. Various scenarios have been applied and tested on the proposed model. The results depict the dynamics of the model for the efficacy and sustainability of smartphone-based breathing monitoring systems. The proposed ideas provide a clear insight to envision sustainable and effective smartphone-based healthcare monitoring systems.
Keywords	system dynamics ; modeling ; systems engineering ; sustainability ; respiration ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	690
Language	English
Publishing date	2020-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Sustainable Smartphone-Based Healthcare Systems

Misagh Faezipour / Miad Faezipour

Sustainability ; Volume 12 ; Issue 12

A Systems Engineering Approach to Assess the Efficacy of Respiratory Monitoring Apps

2020

Abstract	Recent technological developments along with advances in smart healthcare have been rapidly changing the healthcare industry and improving outcomes for patients. To ensure reliable smartphone-based healthcare interfaces with high levels of efficacy, a system dynamics model with sustainability indicators is proposed. The focus of this paper is smartphone-based breathing monitoring systems that could possibly use breathing sounds as the data acquisition input. This can especially be useful for the self-testing procedure of the ongoing global COVID-19 crisis in which the lungs are attacked and breathing is affected. The method of investigation is based on a systems engineering approach using system dynamics modeling. In this paper, first, a causal model for a smartphone-based respiratory function monitoring is introduced. Then, a systems thinking approach is applied to propose a system dynamics model of the smartphone-based respiratory function monitoring system. The system dynamics model investigates the level of efficacy and sustainability of the system by studying the behavior of various factors of the system including patient wellbeing and care, cost, convenience, user friendliness, in addition to other embedded software and hardware breathing monitoring system design and performance metrics (e.g., accuracy, real-time response, etc.). The sustainability level is also studied through introducing various indicators that directly relate to the three pillars of sustainability. Various scenarios have been applied and tested on the proposed model. The results depict the dynamics of the model for the efficacy and sustainability of smartphone-based breathing monitoring systems. The proposed ideas provide a clear insight to envision sustainable and effective smartphone-based healthcare monitoring systems.
Keywords	system dynamics ; modeling ; systems engineering ; sustainability ; respiration ; covid19
Subject code	690
Language	English
Publishing date	2020-06-22
Publisher	Multidisciplinary Digital Publishing Institute
Publishing country	ch
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Smartphone-Based Self-Testing of COVID-19 Using Breathing Sounds.

Faezipour, Miad / Abuzneid, Abdelshakour

Telemedicine journal and e-health : the official journal of the American Telemedicine Association

2020 Volume 26, Issue 10, Page(s) 1202–1205

MeSH term(s)	COVID-19 ; Coronavirus Infections/diagnosis ; Coronavirus Infections/epidemiology ; Female ; Humans ; Male ; Mobile Applications/statistics & numerical data ; Monitoring, Physiologic/instrumentation ; Pandemics/prevention & control ; Pandemics/statistics & numerical data ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/epidemiology ; Respiratory Sounds/physiology ; Self-Management/methods ; Sensitivity and Specificity ; Smartphone/statistics & numerical data ; Telemedicine/instrumentation
Keywords	covid19
Language	English
Publishing date	2020-06-02
Publishing country	United States
Document type	Journal Article
ZDB-ID	2035659-6
ISSN	1556-3669 ; 1530-5627
ISSN (online)	1556-3669
ISSN	1530-5627
DOI	10.1089/tmj.2020.0114
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Article: Yellowstone Caldera Volcanic Power Generation Facility: A new engineering approach for harvesting emission-free green volcanic energy on a national scale

Arciuolo, Thomas F. / Faezipour, Miad

Renewable energy. 2022 Oct., v. 198

2022

Abstract: The USA is confronted with three epic-size problems: (1) the need for production of energy on a scale that meets the current and future needs of the nation, (2) the need to confront the climate crisis head-on by only producing renewable, green energy, ... ...

Abstract	The USA is confronted with three epic-size problems: (1) the need for production of energy on a scale that meets the current and future needs of the nation, (2) the need to confront the climate crisis head-on by only producing renewable, green energy, that is 100% emission-free, and (3) the need to forever forestall the eruption of the Yellowstone Supervolcano. This paper offers both a provable practical, novel solution, and a thought experiment, to simultaneously solve all of the above stated problems. Through a new copper-based engineering approach on an unprecedented scale, this paper proposes a safe means to draw up the mighty energy reserve of the Yellowstone Supervolcano from within the Earth, to superheat steam for spinning turbines at sufficient speed and on a sufficient scale, in order to power the entire USA. The proposed, single, multi-redundant facility utilizes the star topology in a grid array pattern to accomplish this. Over time, bleed-off of sufficient energy could potentially forestall this Supervolcano from ever erupting again. With obvious importance to our planet and the research community alike, COMSOL simulation demonstrates and proves the solution proposed herein, to bring vast amounts of green, emission-free energy to the planet’s surface for utilization. Well over 11 Quadrillion Watt hours of electrical energy generated over the course of one full year, to meet the current and future needs of the USA is shown to be practical. Going beyond other current and past research efforts, this methodology offers tremendous benefits, potentially on a planetary scale.
Keywords	climate ; copper ; electric power ; energy ; power generation ; renewable energy sources ; steam ; topology
Language	English
Dates of publication	2022-10
Size	p. 415-425.
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	2001449-1
ISSN	1879-0682 ; 0960-1481
ISSN (online)	1879-0682
ISSN	0960-1481
DOI	10.1016/j.renene.2022.08.063
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Real-Time Generation of Hyperbolic Neuronal Spiking Patterns.

Prendergast, Aidan J / Hosseini, Mohammad Javad Mirshojaeian / Nawrocki, Robert A / Faezipour, Miad

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

2022 Volume 2022, Page(s) 707–710

Abstract: Neuronal spikes are referred to as the electric activity of neurons (in terms of voltage) in response to various biological events such as the sodium and calcium ionic current channels in the brain. Currently, both biological models as well as ... ...

Abstract	Neuronal spikes are referred to as the electric activity of neurons (in terms of voltage) in response to various biological events such as the sodium and calcium ionic current channels in the brain. Currently, both biological models as well as mathematical models of neuronal spiking patterns have been introduced in the literature. However, very little attempt has been made to run these models in real-time. With applications ranging from hardware neuromorphic circuit designs, artificial intelligence (AI) architectures, to deep brain stimulation, real-time generation of these models is of particular interest in the brain-inspired computing/architecture and neuro-modulation/stimulation research communities. This paper proposes the development of a framework for generating the hyperbolic based single neuronal spiking patterns in real-time. Simulation results confirm that the generated spikes resemble the existing models of neuronal spiking patterns, with additional real-time run capability as well as the ability to change the parameters on the fly. Clinical relevance-Real-time models of neuronal spiking patterns have significant clinical relevance with respect to applications of neuromorphic/AI chips for medical image processing/computer vision, as well as clinical neuroscience, neuromodulation and neurostimulation such as deep brain stimulation for modulating the abnormal effects of neurological diseases.
MeSH term(s)	Artificial Intelligence ; Brain/physiology ; Computer Simulation ; Neural Networks, Computer ; Neurons/physiology
Language	English
Publishing date	2022-09-09
Publishing country	United States
Document type	Journal Article
ISSN	2694-0604
ISSN (online)	2694-0604
DOI	10.1109/EMBC48229.2022.9870915
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Sustainable smartphone-based healthcare systems: A systems engineering approach to assess the efficacy of respiratory monitoring apps

Faezipour, Misagh / Faezipour, Miad

Sustainability

Abstract	Recent technological developments along with advances in smart healthcare have been rapidly changing the healthcare industry and improving outcomes for patients. To ensure reliable smartphone-based healthcare interfaces with high levels of efficacy, a system dynamics model with sustainability indicators is proposed. The focus of this paper is smartphone-based breathing monitoring systems that could possibly use breathing sounds as the data acquisition input. This can especially be useful for the self-testing procedure of the ongoing global COVID-19 crisis in which the lungs are attacked and breathing is affected. The method of investigation is based on a systems engineering approach using system dynamics modeling. In this paper, first, a causal model for a smartphone-based respiratory function monitoring is introduced. Then, a systems thinking approach is applied to propose a system dynamics model of the smartphone-based respiratory function monitoring system. The system dynamics model investigates the level of efficacy and sustainability of the system by studying the behavior of various factors of the system including patient wellbeing and care, cost, convenience, user friendliness, in addition to other embedded software and hardware breathing monitoring system design and performance metrics (e.g., accuracy, real-time response, etc.). The sustainability level is also studied through introducing various indicators that directly relate to the three pillars of sustainability. Various scenarios have been applied and tested on the proposed model. The results depict the dynamics of the model for the efficacy and sustainability of smartphone-based breathing monitoring systems. The proposed ideas provide a clear insight to envision sustainable and effective smartphone-based healthcare monitoring systems.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #610601
Database	COVID19

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Article ; Online: Sustainable Smartphone-Based Healthcare Systems

Faezipour, Misagh / Faezipour, Miad

A Systems Engineering Approach to Assess the Efficacy of Respiratory Monitoring Apps

2020

Abstract	Recent technological developments along with advances in smart healthcare have been rapidly changing the healthcare industry and improving outcomes for patients. To ensure reliable smartphone-based healthcare interfaces with high levels of efficacy, a system dynamics model with sustainability indicators is proposed. The focus of this paper is smartphone-based breathing monitoring systems that could possibly use breathing sounds as the data acquisition input. This can especially be useful for the self-testing procedure of the ongoing global COVID-19 crisis in which the lungs are attacked and breathing is affected. The method of investigation is based on a systems engineering approach using system dynamics modeling. In this paper, first, a causal model for a smartphone-based respiratory function monitoring is introduced. Then, a systems thinking approach is applied to propose a system dynamics model of the smartphone-based respiratory function monitoring system. The system dynamics model investigates the level of efficacy and sustainability of the system by studying the behavior of various factors of the system including patient wellbeing and care, cost, convenience, user friendliness, in addition to other embedded software and hardware breathing monitoring system design and performance metrics (e.g., accuracy, real-time response, etc.). The sustainability level is also studied through introducing various indicators that directly relate to the three pillars of sustainability. Various scenarios have been applied and tested on the proposed model. The results depict the dynamics of the model for the efficacy and sustainability of smartphone-based breathing monitoring systems. The proposed ideas provide a clear insight to envision sustainable and effective smartphone-based healthcare monitoring systems. https://doi.org/10.3390/su12125061
Keywords	System dynamics ; Modeling ; Systems engineering ; Sustainability ; Respiration ; covid19
Subject code	690
Language	English
Publishing date	2020-06-22
Publisher	MDPI
Publishing country	us
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Smartphone-Based Self-Testing of COVID-19 Using Breathing Sounds

Faezipour, Miad / Abuzneid, Abdelshakour

Telemedicine and e-Health

2020 Volume 26, Issue 10, Page(s) 1202–1205

Keywords	Health Informatics ; Health Information Management ; General Medicine ; covid19
Language	English
Publisher	Mary Ann Liebert Inc
Publishing country	us
Document type	Article ; Online
ZDB-ID	2035659-6
ISSN	1556-3669 ; 1530-5627
ISSN (online)	1556-3669
ISSN	1530-5627
DOI	10.1089/tmj.2020.0114
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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ab Jg. 2022: Lesesaal (EG)

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