Low-cost smartphone based imaging device to detect subsurface tissue oxygenation of wounds

Kaile, Kacie; Leiva, Kevin; Mahadevan, Jagadeesh; Ramnarayan, V; Miguel, Alonso; Vishwanathan, Mohan; Godavarty, Anuradha

doi:10.1117/12.2510425

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…Infrared foot imaging using a smartphone equipped with an add-on thermal sensor is also possible (Bougrine et al, 2017). Smartphone-based imaging devices for detecting wound subsurface tissue oxygenation (Kaile et al, 2019), chatbots for wound dressing (da Silva Lima Roque et al, 2021), three-dimensional (3D) wound measurements (Kuang et al, 2021) and wireless electronic dressing systems for wound analysis and biophysical therapy (Yang et al, 2022) are among the emerging electronic and computerized wound care tools. This evolution will continue to become more common and nurses must leverage these tools when they become available (Kulikov et al, 2019).…”

Section: Mhealth: To Support Not Replace Clinical Judgementmentioning

confidence: 99%

Self‐supporting wound care mobile applications for nurses: A scoping review

Gagnon,

Probst,

Chartrand

et al. 2024

Journal of Advanced Nursing

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AimThis study provides an overview of the literature to identify and map the types of available evidence on self‐supporting mobile applications used by nurses in wound care regarding their development, evaluation and outcomes for patients, nurses and the healthcare system.DesignScoping review.Review MethodJoanna Briggs Institute scoping review methodology was used.Data SourcesA search was performed using MEDLINE, Embase, CINAHL (via EBSCO), Web of Science, LiSSa (Littérature Scientifique en Santé), Cochrane Wounds, Érudit and grey literature, between April and October 2022, updated in April 2023, to identify literature published in English and French.ResultsEleven studies from 14 publications met the inclusion criteria. Mostly descriptive, the included studies presented mobile applications that nurses used, among other things, to assess wounds and support clinical decision‐making. The results described how nurses were iteratively involved in the process of developing and evaluating mobile applications using various methods such as pilot tests. The three outcomes most frequently reported by nurses were as follows: facilitating care, documentation on file and access to evidence‐based data.ConclusionThe potential of mobile applications in wound care is within reach. Nurses are an indispensable player in the successful development of these tools.Implications for the Profession and Patient CareIf properly developed and evaluated, mobile applications for wound care could enhance nursing practices and improve patient care. The development of ethical digital competence must be ensured during initial training and continued throughout the professional journey.ImpactWe identified a dearth of studies investigating applications that work without Internet access. More research is needed on the development of mobile applications in wound care and their possible impact on nursing practice in rural areas and the next generation of nurses.Reporting MethodThe Preferred Reporting Items for Systematic Reviews and Meta‐analysis Extension for Scoping Review guidelines were used.Patient or Public ContributionNo patient or public contribution.

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Section: Mhealth: To Support Not Replace Clinical Judgementmentioning

confidence: 99%

Self‐supporting wound care mobile applications for nurses: A scoping review

Gagnon,

Probst,

Chartrand

et al. 2024

Journal of Advanced Nursing

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“…In the area of medical imaging, there are a few smartphone-based imaging technologies that have been developed to cater to various applications [16,17,18,19,20,21,22,23]. These technologies are summarized in Table 1.…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of a Smartphone-Based Near-Infrared Optical Imaging Device to Measure Physiological Changes In-Vivo

Kaile

Godavarty

2019

Micromachines

Self Cite

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Smartphone-based technologies for medical imaging purposes are limited, especially when it involves the measurement of physiological information of the tissues. Herein, a smartphone-based near-infrared (NIR) imaging device was developed to measure physiological changes in tissues across a wide area and without contact. A custom attachment containing multiple multi-wavelength LED light sources (690, 800, and 840 nm; and <4 mW of optical power per LED), source driver, and optical filters and lenses was clipped onto a smartphone that served as the detector during data acquisition. The ability of the device to measure physiological changes was validated via occlusion studies on control subjects. Noise removal techniques using singular value decomposition algorithms effectively removed surface noise and distinctly differentiated the physiological changes in response to occlusion. In the long term, the developed smartphone-based NIR imaging device with capabilities to capture physiological changes will be a great low-cost alternative for clinicians and eventually for patients with chronic ulcers and bed sores, and/or in pre-screening for potential ulcers in diabetic subjects.

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