IEEE Transactions on Biomedical Engineering
Featured Articles
Electro-optical classification of pollen grains via microfluidics and machine learning
Michele D’Orazio, Riccardo Reale, Adele De Ninno, Maria A. Brighetti, Arianna Mencattini, Luca Businaro, Eugenio Martinelli, Paolo Bisegna, Alessandro Travaglini, Federica Caselli
This interdisciplinary work involves sensor science, microfluidics, machine learning, and palynology. Palynology - i.e., the study of pollen and fungal spores - finds applications in high-impact fields like air quality control, allergology, and agriculture. Traditionally, the study of pollen takes place through microscopic analysis performed by specialized operators, after staining of the sample. The procedure requires long times and is prone to human errors. Therefore, there is an unmet need for accurate, label-free, and automated systems for the analysis of pollen, ideally within a field-portable and cost-effective platform. In this framework, we propose an original multimodal approach...
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Posted on 1 FEB 2022
Featured Articles
Semi-Automatic Planning and Three-Dimensional Electrospinning of Patient-Specific Grafts for Fontan Surgery
Xiaolong Liu, Byeol Kim, Yue-Hin Loke, Paige Mass, Olivieri Laura, Narutoshi Hibino, Mark Fuge, Axel Krieger
This work aims to develop a semi-automatic tissue engineered vascular graft (TEVG) planning method for designing and 3D-printing hemodynamically optimized Fontan TEVGs. We present a computation framework by parameterizing Fontan grafts to explore patient-specific vascular graft design space and search for optimal designs. We employed nonlinear constrained optimization technique to minimize indexed power loss of Fontan grafts while keeping hepatic flow distribution (HFD) and percentage of abnormal wall shear stress (%WSS) within clinically acceptable thresholds. Our work significantly reduces the collaborative effort and turnaround time between clinicians and engineering teams for designing patient-specific hemodynamically optimized TEVGs...
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Posted on 30 DEC 2021
Featured Articles
Mechanical Imaging of Soft Tissues with Miniature Climbing robots
We propose a method that uses our previously developed skin-crawling robots to noninvasively test the mechanical properties of soft tissue. We explore the use of two miniature sensors: an indenter and a cutometer. We evaluate the sensor's performance from data collected on simulated tissue, classifying the depth and size of a simulated lump with over 98.8% accuracy using convolutional neural nets. Finally, we do limited on-body testing to map dry skin on the forearm with a cutometer. We hope to improve the ability to test tissues noninvasively, providing better sensitivity and systematic data collection...
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Posted on 30 SEP 2021
Articles
A Framework for Efficient N-Way Interaction Testing in Case/Control Studies With Categorical Data
Aristos Aristodimou, Athos Antoniades, Efthimios Dardiotis, Eleni M. Loizidou, George M. Spyrou, Christina Votsi, Kyproula Christodoulou, Marios Pantzaris, Nikolaos Grigoriadis, Georgios M. Hadjigeorgiou, Theodoros Kyriakides, Constantinos S. Pattichis
Most common diseases are influenced by multiple gene interactions and interactions with the environment. Performing an exhaustive search to identify such interactions is computationally expensive and needs to address the multiple testing problem. A four-step framework is proposed for the...
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Posted on 28 SEP 2021
Featured Articles
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection
Obstructive Sleep Apnea (OSA) is a highly prevalent but inconspicuous disease that seriously jeopardizes the health of human beings. Polysomnography (PSG), the gold standard of detecting OSA, requires multiple specialized sensors for signal collection, hence patients have to physically visit...
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Posted on 3 AUG 2021
Articles
Continuous Gait Phase Estimation using LSTM for Robotic Transfemoral Prosthesis Across Walking Speeds
User gait phase estimation plays a key role for the seamless control of the lower-limb robotic assistive devices (e.g., exoskeletons or prostheses) during ambulation. To achieve this, several studies have attempted to estimate the gait phase using a thigh or...
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Posted on 28 JUL 2021
Articles
Characterization of a Benchmark Database for Myoelectric Movement Classification
Manfredo Atzori, Arjan Gijsberts, Ilja Kuzborskij, Simone Elsig, Anne-Gabrielle Mittaz Hager, Olivier Deriaz, Claudio Castellini, Henning Müller, Barbara Caputo
In this paper, we characterize the Ninapro database and its use as a benchmark for hand prosthesis evaluation. The database is a publicly available resource that aims to support research on advanced myoelectric hand prostheses. The database is obtained by...
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Posted on 21 JUL 2021
Articles
A Novel Wearable Device for Continuous Temperature Monitoring & Fever Detection
Nishant Verma, Iman Haji-Abolhassani, Suhas Ganesh, Jesus Vera-Aguilera, Jonas Paludo, Roxana Heitz, Svetomir Markovic, Kimary Kulig, Atiyeh Ghoreyshi
Continuous temperature monitoring in high-risk patients can enable healthcare providers to remotely track patients’ temperatures, promptly detect fevers and timely intervene to improve clinical outcomes. We evaluated if a novel wearable, continuous temperature monitor (Verily Patch) can reliably estimate body...
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Posted on 20 JUL 2021
Articles
Using Wearables and Machine Learning to Enable Personalized Lifestyle Recommendations to Improve Blood Pressure
Background: Blood pressure (BP) is an essential indicator for human health and is known to be greatly influenced by lifestyle factors, like activity and sleep factors. However, the degree of impact of each lifestyle factor on BP is unknown and...
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Posted on 20 JUL 2021
Featured Articles
Quantification of Motor Function Post-stroke using Novel Combination of Wearable Inertial and Mechanomyographic Sensors
Subjective clinical rating scales represent the gold-standard diagnosis of motor function following stroke, however in practice they suffer from well-recognized limitations including assessor variance, low inter-rater reliability and low resolution. Automated systems have been proposed for empirical quantification but have...
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Posted on 21 JUN 2021