Yohanna MejiaCruz1, Jean Franco2, Garret Hainline2, Stacy Fritz2, Zhaoshuo Jiang1, Juan M Caicedo2, Benjamin Davis3, Victor Hirth4. 1. San Francisco State University, 1600 Holloway Ave, San Francisco, CA 94132. 2. University of South Carolina, 300 Main St, Columbia SC, 29201. 3. Advanced Smart Systems and Evaluation Technologies (ASSET), LLC, 1400 Laurel Street, Suite 1B, Columbia, South Carolina 29201. 4. Geriatric Health and Wellness, LTD, One Still Hopes Drive, West Columbia, SC 29169.
Abstract
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.
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.
Authors: Stacy J Morris Bamberg; Ari Y Benbasat; Donna Moxley Scarborough; David E Krebs; Joseph A Paradiso Journal: IEEE Trans Inf Technol Biomed Date: 2008-07
Authors: Jeanine M Van Ancum; Kimberley S van Schooten; Nini H Jonkman; Bas Huijben; Rob C van Lummel; Carel G M Meskers; Andrea B Maier; Mirjam Pijnappels Journal: Maturitas Date: 2018-12-07 Impact factor: 4.342
Authors: Alexander M Keppler; Timur Nuritidinow; Arne Mueller; Holger Hoefling; Matthias Schieker; Ieuan Clay; Wolfgang Böcker; Julian Fürmetz Journal: PLoS One Date: 2019-08-30 Impact factor: 3.240
Authors: Benjamin T Davis; Brianna I Bryant; Stacy L Fritz; Reed Handlery; Alicia Flach; Victor A Hirth Journal: Measurement (Lond) Date: 2022-03-31 Impact factor: 5.131
Authors: Hafizur Rahman; Iraklis I Pipinos; Jason M Johanning; George Casale; Mark A Williams; Jonathan R Thompson; Yohanis O'Neill-Castro; Sara A Myers Journal: J Vasc Surg Date: 2021-05-31 Impact factor: 4.268