Now you see it! Using wearable cameras to gain insights into the lived experience of cardiovascular conditions

被引:10
作者
Nourse, Rebecca [1 ]
Cartledge, Susie [1 ,2 ]
Tegegne, Teketo [1 ]
Gurrin, Cathal [3 ]
Maddison, Ralph [1 ]
机构
[1] Deakin Univ, Inst Phys Act & Nutr, 221 Burwood Highway, Burwood, Vic 3125, Australia
[2] Monash Univ, Sch Publ Hlth & Prevent Med, Melbourne, Vic, Australia
[3] Dublin City Univ, Sch Comp, Dublin, Ireland
关键词
Wearable camera; Ethnography; Research methods; Qualitative; Machine learning; Images; HEART-FAILURE; SELF-CARE; CLASSIFICATION;
D O I
10.1093/eurjcn/zvac053
中图分类号
R5 [内科学];
学科分类号
100201 [内科学];
摘要
Wearable cameras offer an innovative way to discover new insights into the lived experience of people with cardiovascular conditions. Wearable cameras can be used alone or supplement more traditional research methods, such as interviews and participant observations. This paper provides an overview of the benefits of using wearable cameras for data collection and outlines some key considerations for researchers and clinicians interested in this method. We provide a case study describing a study design using wearable cameras and how the data were used.
引用
收藏
页码:750 / 755
页数:6
相关论文
共 25 条
[1]
Cartledge S, 2018, HEART LUNG CIRC, V27, pS129, DOI 10.1016/j.hlc.2018.06.192
[2]
Describing self-care in Italian adults with heart failure and identifying determinants of poor self-care [J].
Cocchieri, Antonello ;
Riegel, Barbara ;
D'Agostino, Fabio ;
Rocco, Gennaro ;
Fida, Roberta ;
Alvaro, Rosaria ;
Vellone, Ercole .
EUROPEAN JOURNAL OF CARDIOVASCULAR NURSING, 2015, 14 (02) :126-136
[3]
Dingler Tilman, 2021, Technology-Augmented Perception and Cognition, P47, DOI DOI 10.1007/978-3-030-30457-7_3
[4]
Nurses' use of monitors in patient surveillance: an ethnographic study on a coronary care unit [J].
Freysdottir, Gerdur Ran ;
Bjornsdottir, Kristin ;
Svavarsdottir, Margret Hronn .
EUROPEAN JOURNAL OF CARDIOVASCULAR NURSING, 2019, 18 (04) :272-279
[5]
Self-management in heart failure: where have we been and where should we go? [J].
Gardetto, Nancy Jean .
JOURNAL OF MULTIDISCIPLINARY HEALTHCARE, 2011, 4 :39-51
[6]
Acceptability of a lifelogging wearable camera in older adults with mild cognitive impairment: a mixed-method study [J].
Gelonch, Olga ;
Ribera, Mireia ;
Codern-Bove, Nuria ;
Ramos, Silvia ;
Quintana, Maria ;
Chico, Gloria ;
Cerulla, Noemi ;
Lafarga, Paula ;
Radeva, Petia ;
Garolera, Maite .
BMC GERIATRICS, 2019, 19 (1)
[7]
Visual Methodologies in Qualitative Research: Autophotography and Photo Elicitation Applied to Mental Health Research [J].
Glaw, Xanthe ;
Inder, Kerry ;
Kable, Ashley ;
Hazelton, Michael .
INTERNATIONAL JOURNAL OF QUALITATIVE METHODS, 2017, 16 (01)
[8]
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs [J].
Gulshan, Varun ;
Peng, Lily ;
Coram, Marc ;
Stumpe, Martin C. ;
Wu, Derek ;
Narayanaswamy, Arunachalam ;
Venugopalan, Subhashini ;
Widner, Kasumi ;
Madams, Tom ;
Cuadros, Jorge ;
Kim, Ramasamy ;
Raman, Rajiv ;
Nelson, Philip C. ;
Mega, Jessica L. ;
Webster, R. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2016, 316 (22) :2402-2410
[9]
LifeLogging: Personal big data [J].
Gurrin, Cathal ;
Smeaton, Alan F. ;
Doherty, Aiden R. .
Foundations and Trends in Information Retrieval, 2014, 8 (01) :1-125
[10]
The European Heart Failure Self-care Behaviour scale revised into a nine-item scale (EHFScB-9): a reliable and valid international instrument [J].
Jaarsma, Tiny ;
Arestedt, Kristofer Franzen ;
Martensson, Jan ;
Dracup, Kathleen ;
Stromberg, Anna .
EUROPEAN JOURNAL OF HEART FAILURE, 2009, 11 (01) :99-105