Beren Semiz, Ph.D.
Affiliations: | Department of Electrical and Electronics Engineering | Koc University, Turkey |
Area:
Biomedical signal processing, wearable device design, physiological monitoring systems, acoustic analysis, digital biomarkers, artificial intelligence for healthcare, applied machine learningWebsite:
https://mysite.ku.edu.tr/besemizGoogle:
"Beren Semiz"Parents
Sign in to add mentor| Omer Inan | grad student | 2020 | Georgia Tech (Neurotree) | |
| (Digital Biomarker Discovery for Non-Invasive Health Monitoring with Acoustic and Vibration Signals) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Ozmen GC, Safaei M, Semiz B, et al. (2021) Detection of Meniscal Tear Effects on Tibial Vibration Using Passive Knee Sound Measurements. Ieee Transactions On Bio-Medical Engineering |
| Semiz B, Carek AM, Johnson JC, et al. (2020) Non-Invasive Wearable Patch Utilizing Seismocardiography for Peri-Operative Use in Surgical Patients. Ieee Journal of Biomedical and Health Informatics |
| Semiz B, Inan O, Hersek S, et al. (2020) Detecting Suspected Pump Thrombosis in Left Ventricular Assist Devices via Acoustic Analysis. Ieee Journal of Biomedical and Health Informatics |
| Hersek S, Semiz B, Shandhi MMH, et al. (2019) A Globalized Model for Mapping Wearable Seismocardiogram Signals to Whole-Body Ballistocardiogram Signals Based on Deep Learning. Ieee Journal of Biomedical and Health Informatics |
| Zia JS, Kimball J, Hersek S, et al. (2019) A Unified Framework for Quality Indexing and Classification of Seismocardiogram Signals. Ieee Journal of Biomedical and Health Informatics |
| Shandhi MMH, Semiz B, Hersek S, et al. (2019) Performance Analysis of Gyroscope and Accelerometer Sensors for Seismocardiography-Based Wearable Pre-Ejection Period Estimation. Ieee Journal of Biomedical and Health Informatics |
| Semiz B, Hersek S, Partida C, et al. (2019) BLOOD-BIOMARKER-BASED ACOUSTICAL FEATURE SELECTION IMPROVES OVERALL CLASSIFICATION ACCURACY FOR PUMP THROMBOSIS IN LEFT VENTRICULAR ASSIST DEVICES Journal of the American College of Cardiology. 73: 897 |
| Semiz B, Hersek S, Whittingslow DC, et al. (2018) Using Knee Acoustical Emissions for Sensing Joint Health in Patients with Juvenile Idiopathic Arthritis: A Pilot Study. Ieee Sensors Journal. 18: 9128-9136 |
| Semiz B, Hersek S, Pouyan MB, et al. (2018) Use of Ventricular Assist Device Acoustical Signatures to Detect Device Thrombosis Journal of Cardiac Failure. 24: S19 |