Technology roadmap for flexible sensors
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 …
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 …
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
Accurate monitoring of the depth of anesthesia (DoA) is essential for intraoperative and
postoperative patient's health. Commercially available electroencephalograph (EEG)-based …
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
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 …
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 …
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 …
processor based on single lead electrocardiogram (ECG) is presented. The proposed SCA …
A 0.5 V PPG-based heart rate and variability detection system
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 Photoplethysmographic (PPG) based HRV detection system with a low-power readout …
A wearable neuro-degenerative diseases detection system based on gait dynamics
Neurodegenerative disorders (NDDs) are chronic diseases of the human central nervous
system that cause degradation in mobility and cognitive functioning. Continuous assessment …
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
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 …
(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
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 …
breakthrough is the use of in vivo wireless medical devices, which provide scalable and cost …