Showing Results from 1 to 12 of 35.
09 : 00 AM
A dual probe ultrasound vector Doppler method for a robust and reliable estimation of blood flow volume and pulse wave velocity on the carotid artery
Mattesini Paolo, Ramalli Alessandro, Travagliati Marco, Confalonieri Federica, Baldasarre Leonardo
Final Pr. ID: P-450
Authors: Mattesini Paolo , Ramalli Alessandro , Travagliati Marco , Confalonieri Federica , Baldasarre Leonardo
Keywords: Blood flow, Carotid arteries, Doppler ultrasound, Pulse wave velocity (PWV), Wearables
Liao Shun, Di Achille Paolo, Vakharia Tanay, Faranesh Tony, Shreibati Jacqueline, Poh Ming-zher
Final Pr. ID: MDP1536
Authors: Liao Shun , Di Achille Paolo , Vakharia Tanay , Faranesh Tony , Shreibati Jacqueline , Poh Ming-zher
Keywords: Artificial Intelligence, Electrocardiography, Wearables, Self-monitoring, Atrial fibrillation
01 : 30 PM
An Innovative telemonitoring-wearable device with third heart sound detection for early detection of worsening heart failure
Masuda Hirotada, Ekuni Shota, Misumi Yusuke, Akazawa Yasuhiro, Sakata Yasushi, Miyagawa Shigeru
Final Pr. ID: MDP1537
Authors: Masuda Hirotada , Ekuni Shota , Misumi Yusuke , Akazawa Yasuhiro , Sakata Yasushi , Miyagawa Shigeru
Keywords: Acute heart failure, Prevention, Wearables, Deep learning, Device
10 : 30 AM
An Interpretable Model for Predicting Preoperative Cardiorespiratory Fitness Using Wearable Data in Free-Living Conditions.
Hussain Iqram, Zeepvat Julianna, Reid Cary, Czaja Sara, Pryor Kane, Boyer Richard
Final Pr. ID: Sa4141
Authors: Hussain Iqram , Zeepvat Julianna , Reid Cary , Czaja Sara , Pryor Kane , Boyer Richard
Keywords: Preoperative, Wearables, Machine Learning, Cardiorespiratory fitness, Activities of daily living
10 : 45 AM
Association Between Circadian Rest/Activity Rhythms and Incident Dementia in Older Adults: The Atherosclerosis Risk in Communities (ARIC) Study
Wang Wendy, Crainiceanu Ciprian, Spira Adam, Schrack Jennifer, Chen Lin, Wanigatunga Amal, Etzkorn Lacey, Rabinowitz Jill, Palta Priya, Pike James, Dougherty Ryan, Zipunnikov Vadim, Marino Francesca
Final Pr. ID: 4136762
Authors: Wang Wendy , Crainiceanu Ciprian , Spira Adam , Schrack Jennifer , Chen Lin , Wanigatunga Amal , Etzkorn Lacey , Rabinowitz Jill , Palta Priya , Pike James , Dougherty Ryan , Zipunnikov Vadim , Marino Francesca
Keywords: Circadian, Cognitive impairment, Wearables, Epidemiology
04 : 45 PM
Automated cardiac arrest detection incorporated in a wristband: First experience with spontaneous cardiac arrest detection
Edgar Roos, Van Mieghem Nicolas, Boersma Eric, Cetinyurek Yavuz Aysun, Stas Peter, Royen Niels, Bonnes Judith, Scholte Niels, Ebrahimkheil Kambiz, Brouwer Marc, Beukema Rypko, Mafi-rad Masih, Vernooy Kevin, Yap Sing, Ronner Eelko
Final Pr. ID: Or106
Authors: Edgar Roos , Van Mieghem Nicolas , Boersma Eric , Cetinyurek Yavuz Aysun , Stas Peter , Royen Niels , Bonnes Judith , Scholte Niels , Ebrahimkheil Kambiz , Brouwer Marc , Beukema Rypko , Mafi-rad Masih , Vernooy Kevin , Yap Sing , Ronner Eelko
Keywords: Cardiac arrest, Wearables
11 : 30 AM
Automated cardiac arrest detection using a photoplethysmography wristband: Evaluation of the time to detection of the circulatory arrest event
Edgar Roos, Van Mieghem Nicolas, Boersma Eric, Cetinyurek Yavuz Aysun, Stas Peter, Royen Niels, Bonnes Judith, Scholte Niels, Ebrahimkheil Kambiz, Brouwer Marc, Beukema Rypko, Mafi-rad Masih, Vernooy Kevin, Yap Sing, Ronner Eelko
Final Pr. ID: MDP1050
Authors: Edgar Roos , Van Mieghem Nicolas , Boersma Eric , Cetinyurek Yavuz Aysun , Stas Peter , Royen Niels , Bonnes Judith , Scholte Niels , Ebrahimkheil Kambiz , Brouwer Marc , Beukema Rypko , Mafi-rad Masih , Vernooy Kevin , Yap Sing , Ronner Eelko
Keywords: Cardiac arrest, Wearables
06 : 50 PM
Carotid Artery Assessment via Blood Acoustic Signatures Captured by a Wearable Seismometer Patch
Sang Brian, Desai Nia, Park Jin-woo, Junek Greg, Wen Haoran, Fonseca Michael, Kvantaliani Nino, Nahab Fadi, Ayazi Farrokh
Final Pr. ID: WMP107
Authors: Sang Brian , Desai Nia , Park Jin-woo , Junek Greg , Wen Haoran , Fonseca Michael , Kvantaliani Nino , Nahab Fadi , Ayazi Farrokh
Keywords: Wearables, Carotid arteries, Atherosclerosis, Dissection, Blood flow
Baughman Carter, Monroe Janet, Hanlon Emma, Bandi Keerthi, Larbi Fredrick, Cluett Jennifer, Turkson-ocran Ruth-alma, Hadrick Lariel, Juraschek Stephen
Final Pr. ID: P-312
Authors: Baughman Carter , Monroe Janet , Hanlon Emma , Bandi Keerthi , Larbi Fredrick , Cluett Jennifer , Turkson-ocran Ruth-alma , Hadrick Lariel , Juraschek Stephen
Keywords: Blood pressure, Hypertension, Quality improvement, Wearables
09 : 30 AM
Comparison of Right Ventricular Failure Prediction Models to Predict Right Ventricular Assist Device (RVAD) After HeartMate3 Implantation
Liu Zhiyu, Mackie Benjamin, Dumitru Ioana, Lee Dae Hyun, Lewellen Chase, Lee Jason, Wu Robby, Restrepo-jaramillo Ricardo, Oliveira Guilherme, Rinde-hoffman Debbie, Feliberti Jason
Final Pr. ID: MDP850
Authors: Liu Zhiyu , Mackie Benjamin , Dumitru Ioana , Lee Dae Hyun , Lewellen Chase , Lee Jason , Wu Robby , Restrepo-jaramillo Ricardo , Oliveira Guilherme , Rinde-hoffman Debbie , Feliberti Jason
Keywords: Ventricular assist devices, Heart failure, Outcomes, Wearables, Pulmonary heart disease
09 : 40 AM
Deep Learning-enabled Detection of Aortic Stenosis from Noisy Single-lead Electrocardiograms
Aminorroaya Arya, Dhingra Lovedeep, Pedroso Aline, Vasisht Shankar Sumukh, Oikonomou Evangelos, Khera Rohan
Final Pr. ID: MDP416
Authors: Aminorroaya Arya , Dhingra Lovedeep , Pedroso Aline , Vasisht Shankar Sumukh , Oikonomou Evangelos , Khera Rohan
Keywords: Aortic valve stenosis, Wearables, Artificial Intelligence, Electrocardiography, Prevention
01 : 40 PM
Detecting ST Elevation Myocardial Infarction on a Noisy Single Limb-lead ECG: An Artificial Intelligence-enabled Approach Adaptable to Portable Devices
Dhingra Lovedeep, Khunte Akshay, Shankar Sumukh, Khera Rohan
Final Pr. ID: MDP1538
Authors: Dhingra Lovedeep , Khunte Akshay , Shankar Sumukh , Khera Rohan
Keywords: Myocardial infarction, STEMI, Wearables, Emergency care, Artificial Intelligence, Deep learning