Technology roadmap for flexible sensors

Y Luo, MR Abidian, JH Ahn, D Akinwande… - ACS …, 2023 - ACS Publications
Humans rely increasingly on sensors to address grand challenges and to improve quality of
life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are …

Past results, present trends, and future challenges in intrabody communication

D Naranjo-Hernández, A Callejón-Leblic… - Wireless …, 2018 - Wiley Online Library
Intrabody communication (IBC) is a wireless communication technology using the human
body to develop body area networks (BANs) for remote and ubiquitous monitoring. IBC uses …

Design and implementation of a machine learning based EEG processor for accurate estimation of depth of anesthesia

W Saadeh, FH Khan, MAB Altaf - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Accurate monitoring of the depth of anesthesia (DoA) is essential for intraoperative and
postoperative patient's health. Commercially available electroencephalograph (EEG)-based …

A 1.1-mW ground effect-resilient body-coupled communication transceiver with pseudo OFDM for head and body area network

W Saadeh, MAB Altaf, H Alsuradi… - IEEE Journal of Solid …, 2017 - ieeexplore.ieee.org
This paper presents a body-coupled communication (BCC) transceiver (TRX) that mitigates
all the practical impairments of the body channel at once. The proposed pseudo orthogonal …

A single led photoplethysmography-based noninvasive glucose monitoring prototype system

A Hina, H Nadeem, W Saadeh - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Continuous glucose monitoring is essential for patients to avoid complications of both
hypoglycemia and hyperglycemia. This paper presents a novel non-invasive continuous …

A wearable auto-patient adaptive ECG processor for shockable cardiac arrhythmia

SM Abubakar, MR Khan, W Saadeh… - 2018 IEEE Asian Solid …, 2018 - ieeexplore.ieee.org
A non-machine learning patient-specific shockable cardiac arrhythmia (SCA) classification
processor based on single lead electrocardiogram (ECG) is presented. The proposed SCA …

A 0.5 V PPG-based heart rate and variability detection system

W Saadeh, SZ Aslam, A Hina… - 2018 IEEE Biomedical …, 2018 - ieeexplore.ieee.org
Heart Rate Variability (HRV) is a diagnostic and predictive tool for multiple health conditions.
A Photoplethysmographic (PPG) based HRV detection system with a low-power readout …

A wearable neuro-degenerative diseases detection system based on gait dynamics

W Saadeh, MAB Altaf, SA Butt - 2017 IFIP/IEEE International …, 2017 - ieeexplore.ieee.org
Neurodegenerative disorders (NDDs) are chronic diseases of the human central nervous
system that cause degradation in mobility and cognitive functioning. Continuous assessment …

A patient-specific machine learning based EEG processor for accurate estimation of depth of anesthesia

FH Khan, U Ashraf, MAB Altaf… - 2018 IEEE biomedical …, 2018 - ieeexplore.ieee.org
An electroencephalograph (EEG) based classification processor for the depth of Anesthesia
(DoA) during the intraoperative procedure is presented. To enable a DoA to monitor the …

Data Transmission Enhancement Using Optimal Coding Technique Over In Vivo Channel for Interbody Communication

MA Mezher, S Din, M Ilyas, O Bayat, QH Abbasi… - Big Data, 2024 - liebertpub.com
Wireless in vivo actuators and sensors are examples of sophisticated technologies. Another
breakthrough is the use of in vivo wireless medical devices, which provide scalable and cost …