- Autism Spectrum Disorder Research
- Digital Mental Health Interventions
- Technology Use by Older Adults
- ICT in Developing Communities
- ECG Monitoring and Analysis
- Non-Invasive Vital Sign Monitoring
- Cold Atom Physics and Bose-Einstein Condensates
- Innovation and Socioeconomic Development
- Heart Rate Variability and Autonomic Control
- EEG and Brain-Computer Interfaces
- Quantum Mechanics and Applications
- COVID-19 and Mental Health
- Family and Disability Support Research
- Advanced Thermodynamics and Statistical Mechanics
- Child Development and Digital Technology
- Assistive Technology in Communication and Mobility
Marquette University
2020-2022
Background Care for children with autism spectrum disorder (ASD) can be challenging families and medical care systems. This is especially true in low- and- middle-income countries such as Bangladesh. To improve family–practitioner communication developmental monitoring of ASD, mCARE (Mobile-Based Children Autism Spectrum Disorder Using Remote Experience Sampling Method) was developed. Within this study, used to track child milestone achievement family sociodemographic assets inform...
This paper describes a mobile-based care system (mCARE), which is novel tool to routinely and systematically collect behavior developmental parameter children with Autism Spectrum Disorder (ASD) from the low-and middle-income countries (LMICs) like Bangladesh. It first clinical decision support for ASD in LMICs that has been proved efficient assist them data-driven making by using remote Experience Sampling Method (ESM). Unlike other ESM, instead of taking report patients, mCARE introduce...
In low-and-middle-income countries, especially in Bangladesh, Autism Spectrum Disorder (ASD) may be considered an anathema, and social-cultural-financial constraints mean that there are few facilities available for treatment ASD children. The revolution the use of mobile phone (~80%) by majority people Bangladesh recent years has created opportunity to improve overall scenario or remote monitoring process children with ASD. this grant project, we planned developed a phone-based system...
Abstract Community-wide lockdowns in response to COVID-19 influenced many families, but the developmental cascade for children with autism spectrum disorder (ASD) may be especially detrimental. Our objective was evaluate behavioral patterns of risk and resilience ASD across parent-report assessments before (from November 2019 February 2020), during (March 2020 May after (June 2020) an extended lockdown. In 2020, our study Mobile-based care using remote experience sampling method ( mCARE )...
This paper describes a cloud-based heart rate (HR) and variability (HRV) monitor, which can monitor an individual's using minimal resources at the user's end. HR HRV does not involve any contact sensors or costly medical equipment, it require high-definition camera to video record face. monitoring system simply requires webcam of personal computer mobile device such as cell phone tablet in order face user. The utilizes while recording encoding segments before transferring them server. All...
Heart rate variability (HRV) is a measurement for cardiovascular health condition, and it can be obtained from photo-plethysmography signal by capturing the slight color change in human skin as result of blood volume change. Remote photoplethysmography signals (rPPG) extracted videos faces. Current rPPG postprocessing typicall y selects certain fixed range frequency power spectrum signal. This paper describes method to use noise ratio assist selection adaptive that may contain HRV...
<sec> <title>BACKGROUND</title> Care for children with autism spectrum disorder (ASD) can be challenging families and medical care systems. This is especially true in low- and- middle-income countries such as Bangladesh. To improve family–practitioner communication developmental monitoring of ASD, mCARE (Mobile-Based Children Autism Spectrum Disorder Using Remote Experience Sampling Method) was developed. Within this study, used to track child milestone achievement family sociodemographic...