Detalles de la búsqueda
1.
Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images.
BMC Med Imaging
; 22(1): 103, 2022 05 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-35644612
2.
Melanoma Classification Using a Novel Deep Convolutional Neural Network with Dermoscopic Images.
Sensors (Basel)
; 22(3)2022 Feb 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-35161878
3.
Real-Time and Offline Evaluation of Myoelectric Pattern Recognition for the Decoding of Hand Movements.
Sensors (Basel)
; 21(16)2021 Aug 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-34451119
4.
Classification and Identification of Industrial Gases Based on Electronic Nose Technology.
Sensors (Basel)
; 19(22)2019 Nov 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-31752238
5.
A Systematic Review of Wearable Sensors and IoT-Based Monitoring Applications for Older Adults - a Focus on Ageing Population and Independent Living.
J Med Syst
; 43(8): 233, 2019 Jun 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-31203472
6.
Identification of Chinese Herbal Medicines with Electronic Nose Technology: Applications and Challenges.
Sensors (Basel)
; 17(5)2017 May 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-28486407
7.
A Systematic Review of Wearable Patient Monitoring Systems - Current Challenges and Opportunities for Clinical Adoption.
J Med Syst
; 41(7): 115, 2017 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-28631139
8.
Falls risk assessment for hospitalised older adults: a combination of motion data and vital signs.
Aging Clin Exp Res
; 28(6): 1159-1168, 2016 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-26786585
9.
Smart health monitoring systems: an overview of design and modeling.
J Med Syst
; 37(2): 9898, 2013 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-23321968
10.
Use of pager devices in New Zealand public hospitals as a critical communication tool: Barriers & way forward.
Heliyon
; 9(8): e18717, 2023 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-37560695
11.
Failure mode and effect analysis (FMEA) to identify and mitigate failures in a hospital rapid response system (RRS).
Heliyon
; 8(2): e08944, 2022 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-35243066
12.
Vital signs and early warning score monitoring: perceptions of clinical staff about current practices and introducing an electronic rapid response system.
Heliyon
; 8(10): e11182, 2022 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-36325132
13.
Workload involved in vital signs-based monitoring & responding to deteriorating patients: A single site experience from a regional New Zealand hospital.
Heliyon
; 8(10): e10955, 2022 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-36254295
14.
Anaesthesia monitoring using fuzzy logic.
J Clin Monit Comput
; 25(5): 339-47, 2011 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-22033574
15.
Early Detection of Prediabetes and T2DM Using Wearable Sensors and Internet-of-Things-Based Monitoring Applications.
Appl Clin Inform
; 12(1): 1-9, 2021 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-33406540
16.
A systematic review of rapid response applications based on early warning score for early detection of inpatient deterioration.
Inform Health Soc Care
; 46(2): 148-157, 2021 Jun 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-33472485
17.
A Usability and User-Experience Analysis of VitalsAssist: A mHealth Application to Monitor Vital Signs in Acute Care Settings.
Annu Int Conf IEEE Eng Med Biol Soc
; 2020: 5132-5135, 2020 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-33019141
18.
Evaluation of surface EMG-based recognition algorithms for decoding hand movements.
Med Biol Eng Comput
; 58(1): 83-100, 2020 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-31754982
19.
Non-invasive continuous blood pressure monitoring systems: current and proposed technology issues and challenges.
Australas Phys Eng Sci Med
; 2019 Nov 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-31677058
20.
A Cox-Based Risk Prediction Model for Early Detection of Cardiovascular Disease: Identification of Key Risk Factors for the Development of a 10-Year CVD Risk Prediction.
Adv Prev Med
; 2019: 8392348, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-31093375