Cargando…

Smartphone-Based Light Detection and Ranging for Remote Patient Evaluation and Monitoring

LIDAR (from “light detection and ranging” or “laser imaging, detection, and ranging”) is an evolving three-dimensional scanning technology with historical applications in various fields. However, the applicability of LIDAR in the field of medicine has mostly not been examined thus far. Here, we revi...

Descripción completa

Detalles Bibliográficos
Autores principales: Bhandarkar, Archis R, Bhandarkar, Shaan, Jarrah, Ryan M, Rosenman, David, Bydon, Mohamad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416260/
https://www.ncbi.nlm.nih.gov/pubmed/34513461
http://dx.doi.org/10.7759/cureus.16886
_version_ 1783748142567522304
author Bhandarkar, Archis R
Bhandarkar, Shaan
Jarrah, Ryan M
Rosenman, David
Bydon, Mohamad
author_facet Bhandarkar, Archis R
Bhandarkar, Shaan
Jarrah, Ryan M
Rosenman, David
Bydon, Mohamad
author_sort Bhandarkar, Archis R
collection PubMed
description LIDAR (from “light detection and ranging” or “laser imaging, detection, and ranging”) is an evolving three-dimensional scanning technology with historical applications in various fields. However, the applicability of LIDAR in the field of medicine has mostly not been examined thus far. Here, we review the basic principles governing LIDAR and its potential to be used in three notable use cases in the context of remote patient monitoring: geriatric fall prevention, postoperative recovery monitoring, and home safety assessment. For assisting geriatric populations, LIDAR can create 3D renderings of their home environments and classify which objects may be associated with risk for falls. These risk factors can then be forwarded to both patients and providers in order for them to discuss how to make the patient’s environment safer. LIDAR is also capable of mapping the range of extremity motion in patients undergoing postoperative recovery. Such LIDAR data is simple to acquire and record for these patients and could enable unique metrics to be developed to assess patient outcomes in postoperative recovery. Finally, LIDAR can also reproduce 3D home models to identify attributes of their environments that could be harmful to infants. Given the recent momentum in telehealth following the events of the coronavirus 2019 disease (COVID-19) pandemic, LIDAR may also be a powerful tool in driving new insights from quality improvement initiatives through remote patient monitoring.
format Online
Article
Text
id pubmed-8416260
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Cureus
record_format MEDLINE/PubMed
spelling pubmed-84162602021-09-10 Smartphone-Based Light Detection and Ranging for Remote Patient Evaluation and Monitoring Bhandarkar, Archis R Bhandarkar, Shaan Jarrah, Ryan M Rosenman, David Bydon, Mohamad Cureus Medical Simulation LIDAR (from “light detection and ranging” or “laser imaging, detection, and ranging”) is an evolving three-dimensional scanning technology with historical applications in various fields. However, the applicability of LIDAR in the field of medicine has mostly not been examined thus far. Here, we review the basic principles governing LIDAR and its potential to be used in three notable use cases in the context of remote patient monitoring: geriatric fall prevention, postoperative recovery monitoring, and home safety assessment. For assisting geriatric populations, LIDAR can create 3D renderings of their home environments and classify which objects may be associated with risk for falls. These risk factors can then be forwarded to both patients and providers in order for them to discuss how to make the patient’s environment safer. LIDAR is also capable of mapping the range of extremity motion in patients undergoing postoperative recovery. Such LIDAR data is simple to acquire and record for these patients and could enable unique metrics to be developed to assess patient outcomes in postoperative recovery. Finally, LIDAR can also reproduce 3D home models to identify attributes of their environments that could be harmful to infants. Given the recent momentum in telehealth following the events of the coronavirus 2019 disease (COVID-19) pandemic, LIDAR may also be a powerful tool in driving new insights from quality improvement initiatives through remote patient monitoring. Cureus 2021-08-04 /pmc/articles/PMC8416260/ /pubmed/34513461 http://dx.doi.org/10.7759/cureus.16886 Text en Copyright © 2021, Bhandarkar et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Medical Simulation
Bhandarkar, Archis R
Bhandarkar, Shaan
Jarrah, Ryan M
Rosenman, David
Bydon, Mohamad
Smartphone-Based Light Detection and Ranging for Remote Patient Evaluation and Monitoring
title Smartphone-Based Light Detection and Ranging for Remote Patient Evaluation and Monitoring
title_full Smartphone-Based Light Detection and Ranging for Remote Patient Evaluation and Monitoring
title_fullStr Smartphone-Based Light Detection and Ranging for Remote Patient Evaluation and Monitoring
title_full_unstemmed Smartphone-Based Light Detection and Ranging for Remote Patient Evaluation and Monitoring
title_short Smartphone-Based Light Detection and Ranging for Remote Patient Evaluation and Monitoring
title_sort smartphone-based light detection and ranging for remote patient evaluation and monitoring
topic Medical Simulation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416260/
https://www.ncbi.nlm.nih.gov/pubmed/34513461
http://dx.doi.org/10.7759/cureus.16886
work_keys_str_mv AT bhandarkararchisr smartphonebasedlightdetectionandrangingforremotepatientevaluationandmonitoring
AT bhandarkarshaan smartphonebasedlightdetectionandrangingforremotepatientevaluationandmonitoring
AT jarrahryanm smartphonebasedlightdetectionandrangingforremotepatientevaluationandmonitoring
AT rosenmandavid smartphonebasedlightdetectionandrangingforremotepatientevaluationandmonitoring
AT bydonmohamad smartphonebasedlightdetectionandrangingforremotepatientevaluationandmonitoring