- 2024
- Mohammad Ahmadasas, Mudassir M. Rashid, Mahmoud M. Abdel-Latif, Andrew Shahidehpour, Máté Siket, Ali Cinar:
Detecting and Mitigating Psychological Stress Effects on Glycemia in Type 1 Diabetes. BSN 2024: 1-4 - Saad Ahmed, Eren Yildiz, Shashank Holla, Noor Mohammed, Bashima Islam, Kasim Sinan Yildirim, Jeremy Gummeson, Sunghoon Ivan Lee, Josiah D. Hester:
Bootstrapping Health Wearables Powered by Intra-Body Power Transfer. BSN 2024: 1-4 - Mahad Ali, Patrick W. Moore, Tammer Barkouki, Laura J. Brattain:
Zero-Shot Forecasting for ECG Time Series Data Using Generative Foundation Models. BSN 2024: 1-4 - Julian Alonzo, Marinus H. Daling, Jihun Lee, Ah-Hyoung Lee, David Durfee, Peter M. Asbeck, Lawrence E. Larson, Arto V. Nurmikko, Vincent W. Leung:
Analysis of Wireless Power Transfer Efficiency and Specific Absorption Rate for a Distributed Brain Implant System. BSN 2024: 1-4 - W. Camilo Ariza-Zambrano, Vinicius H. Cene, Dayane Oliveira Gonçalves, Carlos Caetano, Otávio A. B. Penatti:
Data-Driven Autonomous Meal Session Detection Using Smartwatches. BSN 2024: 1-4 - Abdul Aziz, Bhawana Chhaglani, Amirmohammad Radmehr, Joseph Collins, Jeremy Gummeson, Sunghoon Ivan Lee, Ravi Karkar, Phuc Nguyen:
Hardware-Assisted Privacy-Preserving Multi-Channel EEG Computational Headwear. BSN 2024: 1-4 - Farnoush Baghestani, Mahdi Pirayesh Shirazi Nejad, Youngsun Kong, Ki H. Chon:
Towards Continuous Skin Sympathetic Nerve Activity Monitoring: Removing Muscle Noise. BSN 2024: 1-4 - Danielle Benesch, Philippe Chabot, Ajin Tom, Jérémie Voix, Rachel E. Bouserhal:
Template-Based Extraction of Interbeat Intervals from in-Ear Heartbeat Sounds. BSN 2024: 1-4 - Casey C. Bennett, Cedomir Stanojevic, Jiyeong Oh, Junyeong Ahn, Yeeun Jeon, Kanghee Son, Nikki Abbott:
Digital Health Sensor Data in Autism: Developing Few Shot Learning Approaches for Traditional Machine Learning Classifiers. BSN 2024: 1-4 - Teya S. Bergamaschi, Collin M. Stultz, Ridwan Alam:
Heart Block Identification from 12-Lead ECG: Exploring the Generalizability of Self-Supervised AI. BSN 2024: 1-4 - Keshav Bimbraw, Haichong K. Zhang, Bashima Islam:
Forearm Ultrasound Based Gesture Recognition on Edge. BSN 2024: 1-4 - Kayla Blalack, Leo Wang, Maximus Maldonado, Lauren Marbury, Soroush Zare, Ye Sun:
A Low-Cost Wearable Exoskeleton for Sitting and Standing Assistance. BSN 2024: 1-4 - Shingirirai Chakoma, Jerome Rajendran, Xiaochang Pei, Anita Ghandehari, Jorge Alfonso Tavares Negrete, Rahim Esfandyarpour:
Reusable and Wireless Sensor for On-Demand Molecular Stress Biomarker Assessment. BSN 2024: 1-4 - Shingirirai Chakoma, Jerome Rajendran, Xiaochang Pei, Anita Ghandehari, Jorge Alfonso Tavares Negrete, Rahim Esfandyarpour:
Innovative Self-Powered 3D-Printed Triboelectric Nanogenerator for Multimodal Force Sensing. BSN 2024: 1-4 - Qiangqiang Chen, Xiaoyu Chen, Chen Chen, Wenting Qin, Taiyang Liu, Bin Yin, Wei Chen, Hongyu Chen:
Evaluation of Stroke Rehabilitation Using Smart Pressure Insoles and Ensemble Learning Algorithm. BSN 2024: 1-4 - Pin-Jhao Chen, Woan-Shiuan Chien, Huan-Yu Chen, Chi-Chun Lee:
Stress Detection Using HRV Features Augmentation Based on Heart Rate Signal Transformation. BSN 2024: 1-4 - Darren Chen, Dong Han, Luís Roberto Mercado Díaz, Jihye Moon, Ki H. Chon:
Smartwatch Photoplethysmogram-Based Atrial Fibrillation Detection with Premature Atrial and Ventricular Contraction Differentiation Using Densely Connected Convolutional Neural Networks. BSN 2024: 1-4 - Josh Cherian, Bryn C. Loftness, Jenna G. Cohen, Julia Halvorson-Phelan, Ellen W. McGinnis, Ryan S. McGinnis:
Multimodal Markers of Transdiagnostic Childhood Mental Health Impairment. BSN 2024: 1-4 - Woan-Shiuan Chien, Chi-Chun Lee:
Understanding Missing Data Bias in Longitudinal Mental Stress Detection. BSN 2024: 1-4 - Meghna Roy Chowdhury, Archisman Ghosh, Md Faizul Bari, Shreyas Sen:
Leveraging Ultra-Law-Power Wearables Using Distributed Neural Networks. BSN 2024: 1-4 - Moshfiq-Us-Saleheen Chowdhury, Sutirtha Roy, Krishna Prasad Aryal, Henry Leung, Richa Pandey:
FabSense - A DIY Approach for Development of Electrochemical Sweat Glucose Sensor. BSN 2024: 1-4 - Geffen Cooper, Radu Marculescu:
Packet Pruning: Finding Better Energy Spending Policies for Batteryless Human Activity Recognition. BSN 2024: 1-4 - Anurag Das, Edmund Do, Namino Glanz, Wendy Bevier, Rony Santiago, David Kerr, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna:
Macronutrient Constraints and Priors Improve Carbohydrate Predictions from Continuous Glucose Monitors. BSN 2024: 1-4 - Parmida Davarmanesh, Qian Lin, Irene Tenison, Gabriel Jabbour, Ridwan Alam:
Detection of Acute Myocardial Infarction Using Deep Learning on Lead-I ECG Data. BSN 2024: 1-4 - Luís Roberto Mercado Díaz, Yedukondala Rao Veeranki, Fernando Marmolejo-Ramos, Hugo F. Posada-Quintero:
Emotional States Detection Using Electrodermal Activity and Graph Signal Processing. BSN 2024: 1-4 - Ziad A. Elhajjaji, Amar S. Basu:
Predicting Orthostatic Symptoms Using a Multiparameter Wearable Sensor. BSN 2024: 1-4 - Ruijie Fang, Sally Hang, Ruoyu Zhang, Chongzhou Fang, Setareh Rafatirad, Camelia Hostinar, Houman Homayoun:
Validation of WeBe Band During Physical Activities. BSN 2024: 1-4 - Daniel Fehr, Lorenz M. Brunner, Christoph Kirsch, Martin Loeser, Anna Kedracka, Michael Detmar, Mathias Bonmarin:
Semi-Wearable LymphMeter: Preliminary Results From In-Vivo Validation. BSN 2024: 1-4 - Glenn Fernandes, Boyang Wei, Christopher Romano, Deniz Ulusel, Henry K. Dambanemuya, Yang Gao, Roozbeh Ghaffari, John A. Rogers, Nabil Alshurafa:
HealthSense: Unobtrusive Continuous Stress Monitoring Using a Novel Dual ECG-PPG Patch. BSN 2024: 1-4 - Neha Gahlan, Divyashikha Sethia, Sonia Baloni Ray:
Emotion Analysis Using Auditory ASMR via Physiological Signals and Federated Learning. BSN 2024: 1-4
