Detalhe da pesquisa
1.
Deep Learning Approaches to Predict Exercise Exertion Levels Using Wearable Physiological Data.
AMIA Jt Summits Transl Sci Proc
; 2024: 419-428, 2024.
Artigo
em Inglês
| MEDLINE | ID: mdl-38827087
2.
Machine Learning Approaches for Exercise Exertion Level Classification Using Data from Wearable Physiologic Monitors.
Stud Health Technol Inform
; 310: 1428-1429, 2024 Jan 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-38269680
3.
Exercise Exertion Levels Prediction Based on Real-Time Wearable Physiological Signal Monitoring.
Stud Health Technol Inform
; 305: 172-175, 2023 Jun 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-37386988
4.
Automated Classification of Exercise Exertion Levels Based on Real-Time Wearable Physiological Signal Monitoring.
Stud Health Technol Inform
; 302: 1023-1024, 2023 May 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-37203570
5.
Development and Evaluation of Wireless Interfaces to Monitor and Control Cycling Exercise During Home Telerehabilitation.
Med Devices (Auckl)
; 16: 1-13, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-36698919
6.
Exercise Exertion Level Prediction Using Data from Wearable Physiologic Monitors.
AMIA Annu Symp Proc
; 2023: 653-662, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-38222331
7.
A Flexible Implant for Multi-Day Monitoring of Colon Segment Activity.
IEEE Trans Biomed Circuits Syst
; 17(5): 941-951, 2023 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-37363840
8.
Telemonitoring of Home-Based Biking Exercise: Assessment of Wireless Interfaces.
JMIR Biomed Eng
; 7(2): e41782, 2022 Oct 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-38875588
9.
Sensors Selection for Continuous Monitoring of Bowel State and Activity.
Annu Int Conf IEEE Eng Med Biol Soc
; 2018: 2997-3000, 2018 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-30441028
10.
Investigation of the correlation between diffuse infrared and ultrasound for transcranial ultrasound.
Biomed Phys Eng Express
; 2(3)2016 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-27298731