Yohanna MejiaCruz, Jean Franco, Garret Hainline, Stacy Fritz, Zhaoshuo Jiang, Juan M Caicedo, Benjamin Davis, Victor Hirth
{"title":"步行速度测量技术综述。","authors":"Yohanna MejiaCruz, Jean Franco, Garret Hainline, Stacy Fritz, Zhaoshuo Jiang, Juan M Caicedo, Benjamin Davis, Victor Hirth","doi":"10.1007/s13670-020-00349-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>This article presents an overview of the main technologies used to estimate gait parameters, focusing on walking speed (WS).</p><p><strong>Recent findings: </strong>New wearable and environmental technologies to estimate WS have been developed in the last five years. Wearable technologies refer to sensors attached to parts of the patient's body that capture the kinematics during walking. Alternatively, environmental technologies capture walking patterns using external instrumentation. In this review, wearable and external technologies have been included.From the different works reviewed, external technologies face the challenge of implementation outside controlled facilities; an advantage that wearable technologies have, but have not been fully explored. Additionally, systems that can track WS changes in daily activities, especially at-home assessments, have not been developed.</p><p><strong>Summary: </strong>Walking speed is a gait parameter that can provide insight into an individual's health status. Image-based, walkways, wearable, and floor-vibrations technologies are the most current used technologies for estimating WS. In this paper, research from the last five years that explore each technology's capabilities on WS estimation and an evaluation of their technical and clinical aspects is presented.</p>","PeriodicalId":38089,"journal":{"name":"Current Geriatrics Reports","volume":"10 1","pages":"32-41"},"PeriodicalIF":1.1000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s13670-020-00349-z","citationCount":"13","resultStr":"{\"title\":\"Walking speed measurement technology: A review.\",\"authors\":\"Yohanna MejiaCruz, Jean Franco, Garret Hainline, Stacy Fritz, Zhaoshuo Jiang, Juan M Caicedo, Benjamin Davis, Victor Hirth\",\"doi\":\"10.1007/s13670-020-00349-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose of review: </strong>This article presents an overview of the main technologies used to estimate gait parameters, focusing on walking speed (WS).</p><p><strong>Recent findings: </strong>New wearable and environmental technologies to estimate WS have been developed in the last five years. Wearable technologies refer to sensors attached to parts of the patient's body that capture the kinematics during walking. Alternatively, environmental technologies capture walking patterns using external instrumentation. In this review, wearable and external technologies have been included.From the different works reviewed, external technologies face the challenge of implementation outside controlled facilities; an advantage that wearable technologies have, but have not been fully explored. Additionally, systems that can track WS changes in daily activities, especially at-home assessments, have not been developed.</p><p><strong>Summary: </strong>Walking speed is a gait parameter that can provide insight into an individual's health status. Image-based, walkways, wearable, and floor-vibrations technologies are the most current used technologies for estimating WS. In this paper, research from the last five years that explore each technology's capabilities on WS estimation and an evaluation of their technical and clinical aspects is presented.</p>\",\"PeriodicalId\":38089,\"journal\":{\"name\":\"Current Geriatrics Reports\",\"volume\":\"10 1\",\"pages\":\"32-41\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2021-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s13670-020-00349-z\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Geriatrics Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s13670-020-00349-z\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/1/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Geriatrics Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13670-020-00349-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/1/20 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
Purpose of review: This article presents an overview of the main technologies used to estimate gait parameters, focusing on walking speed (WS).
Recent findings: New wearable and environmental technologies to estimate WS have been developed in the last five years. Wearable technologies refer to sensors attached to parts of the patient's body that capture the kinematics during walking. Alternatively, environmental technologies capture walking patterns using external instrumentation. In this review, wearable and external technologies have been included.From the different works reviewed, external technologies face the challenge of implementation outside controlled facilities; an advantage that wearable technologies have, but have not been fully explored. Additionally, systems that can track WS changes in daily activities, especially at-home assessments, have not been developed.
Summary: Walking speed is a gait parameter that can provide insight into an individual's health status. Image-based, walkways, wearable, and floor-vibrations technologies are the most current used technologies for estimating WS. In this paper, research from the last five years that explore each technology's capabilities on WS estimation and an evaluation of their technical and clinical aspects is presented.
期刊介绍:
This journal aims to offer in-depth review articles on the most recent innovative publications in geriatrics and gerontology. By providing clear, insightful contributions by international experts, the journal intends to serve clinicians and researchers involved in the diagnosis, management, treatment, prevention, and study of patients affected by age-related conditions. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas, such as the age-related change in cognitive function, the influence of genetics on neurodegenerative disorders, and traumatic brain injury and dementia. Section Editors select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. An international Editorial Board of more than 20 members reviews the annual table of contents, suggests articles of special interest to their country/region, and ensures that topics are current and include emerging research. We also provide commentaries from well-known figures in the field.