The current and future role of technology in respiratory care

P Honkoop, O Usmani, M Bonini - Pulmonary Therapy, 2022 - Springer
Over the past few decades, technology and improvements in artificial intelligence have
dramatically changed major sectors of our day-to-day lives, including the field of healthcare …

Healthguard: A machine learning-based security framework for smart healthcare systems

AKMI Newaz, AK Sikder, MA Rahman… - … conference on social …, 2019 - ieeexplore.ieee.org
The integration of Internet-of-Things and pervasive computing in medical devices have
made the modern healthcare system “smart.” Today, the function of the healthcare system is …

HealthGuard: An intelligent healthcare system security framework based on machine learning

A Sundas, S Badotra, S Bharany, A Almogren… - Sustainability, 2022 - mdpi.com
Utilization of the Internet of Things and ubiquitous computing in medical apparatuses have
“smartified” the current healthcare system. These days, healthcare is used for more than …

[HTML][HTML] Wearable finger pulse oximetry for continuous oxygen saturation measurements during daily home routines of patients with chronic obstructive pulmonary …

J Buekers, J Theunis, P De Boever… - JMIR mHealth and …, 2019 - mhealth.jmir.org
Background Chronic obstructive pulmonary disease (COPD) patients can suffer from low
blood oxygen concentrations. Peripheral blood oxygen saturation (SpO2), as assessed by …

Interactive biometric touch scanner

BT Khuri-Yakub, MF Rasmussen, G Touma… - US Patent …, 2020 - Google Patents
2019-08-16 Assigned to THE BOARD OF TRUSTEES OF THE LELAND STANFORD
JUNIOR UNIVERSITY reassignment THE BOARD OF TRUSTEES OF THE LELAND …

[HTML][HTML] Lengthening battery life expectancy of sensors in WBANs: A multifactorial approach

J Ramis-Bibiloni, L Carrasco-Martorell - Internet of Things, 2024 - Elsevier
Abstract Wireless Body Area Networks (WBANs) are emerging as a key component in
healthcare within the Internet of Things (IoT) ecosystem, with sensor battery life being crucial …

Formal threat analysis of machine learning-based control systems: A study on smart healthcare systems

NI Haque, MA Rahman, S Uluagac - Computers & Security, 2024 - Elsevier
Modern cyber-physical systems (CPSs) use the Internet of Things (IoT) to collect and
exchange data efficiently, monitor device/sensor level interaction effectively, and adopt new …

More random motor activity fluctuations predict incident frailty, disability, and mortality

P Li, ASP Lim, L Gao, C Hu, L Yu, DA Bennett… - Science translational …, 2019 - science.org
Mobile healthcare increasingly relies on analytical tools that can extract meaningful
information from ambulatory physiological recordings. We tested whether a nonlinear tool of …

Physiological network approach to prognosis in cirrhosis: A shifting paradigm

T Oyelade, KP Moore, AR Mani - Physiological Reports, 2024 - Wiley Online Library
Decompensated liver disease is complicated by multi‐organ failure and poor prognosis. The
prognosis of patients with liver failure often dictates clinical management. Current prognostic …

A novel framework for threat analysis of machine learning-based smart healthcare systems

NI Haque, MA Rahman, MH Shahriar, AA Khalil… - arXiv preprint arXiv …, 2021 - arxiv.org
Smart healthcare systems (SHSs) are providing fast and efficient disease treatment
leveraging wireless body sensor networks (WBSNs) and implantable medical devices …