15
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Development and Validation of Ambulosono: A Wearable Sensor for Bio-Feedback Rehabilitation Training

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Wearable technology-based measurement systems hold potential for the therapeutic and rehabilitation management of patients with various chronic diseases. The purpose of this study was to assess the accuracy and test–retest reliability of a new-generation wearable sensor-based system, dubbed Ambulosono, for bio-feedback training. The Ambulosono sensor system was cross-validated by comparing its functionality with the iPod touch (4th generation) sensor system. Fifteen participants underwent a gait test to measure various gait parameters while wearing both the iPod-based and Ambulosono sensors simultaneously. The physically measured values (i.e., the true values) of step length, distance traveled, velocity, and cadence were then compared to those obtained via the two-sensor systems using the same calculation algorithms. While the mean percentage error was <10% for all measured parameters, and the intra-class correlation coefficient revealed a high level of agreement between trials for both sensor systems, it was found that the Ambulosono sensor system outperformed the iPod-based system in some respects. The Ambulosono sensor system possessed both reliability and accuracy in obtaining gait parameter measurements, which suggests it can serve as an economical alternative to the iPod-based system that is currently used in various clinical rehabilitation programs.

          Related collections

          Most cited references23

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Wearable Sensors for Remote Health Monitoring

          Life expectancy in most countries has been increasing continually over the several few decades thanks to significant improvements in medicine, public health, as well as personal and environmental hygiene. However, increased life expectancy combined with falling birth rates are expected to engender a large aging demographic in the near future that would impose significant  burdens on the socio-economic structure of these countries. Therefore, it is essential to develop cost-effective, easy-to-use systems for the sake of elderly healthcare and well-being. Remote health monitoring, based on non-invasive and wearable sensors, actuators and modern communication and information technologies offers an efficient and cost-effective solution that allows the elderly to continue to live in their comfortable home environment instead of expensive healthcare facilities. These systems will also allow healthcare personnel to monitor important physiological signs of their patients in real time, assess health conditions and provide feedback from distant facilities. In this paper, we have presented and compared several low-cost and non-invasive health and activity monitoring systems that were reported in recent years. A survey on textile-based sensors that can potentially be used in wearable systems is also presented. Finally, compatibility of several communication technologies as well as future perspectives and research challenges in remote monitoring systems will be discussed.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Characterization of freezing of gait subtypes and the response of each to levodopa in Parkinson's disease.

            To assess the effect of levodopa on distinct freezing of gait (FOG) subtypes in patients with 'off' FOG. Nineteen patients (12 men, mean age 62.0 +/- 8.4 years) with Parkinson's disease and clinically significant FOG during 'off' states were videotaped whilst walking 130 m during 'off' and 'on' states. Three independent observers characterized the type, duration, and clinical manifestations and quantified FOG by analyzing the videotapes. Their combined mean scores were used for statistical analysis. The intra-class correlation coefficient assessed inter-observer reliability. Wilcoxon and Friedman tests evaluated differences in mean frequencies of FOG characteristics. During 'off' states, FOG was elicited by turns (63%), starts (23%), walking through narrow spaces (12%) and reaching destinations (9%). These respective values were only 14, 4, 2 and 1% during 'on' states (P < 0.011). Moving forward with very small steps and leg trembling in place were the most common manifestations of FOG; total akinesia was rare. Most FOG episodes took <10 s and tended to be shorter during 'on' states. Levodopa significantly decreased FOG frequency (P < 0.0001) and the number of episodes with akinesia (P < 0.001). Distinction amongst FOG subtypes enables evaluation of distinctive therapeutic response. Levodopa helps in reducing the frequency and duration of 'off'-related FOG.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Reliability, internal consistency, and validity of data obtained with the functional gait assessment.

              The Functional Gait Assessment (FGA) is a 10-item gait assessment based on the Dynamic Gait Index. The purpose of this study was to evaluate the reliability, internal consistency, and validity of data obtained with the FGA when used with people with vestibular disorders. Seven physical therapists from various practice settings, 3 physical therapist students, and 6 patients with vestibular disorders volunteered to participate. All raters were given 10 minutes to review the instructions, the test items, and the grading criteria for the FGA. The 10 raters concurrently rated the performance of the 6 patients on the FGA. Patients completed the FGA twice, with an hour's rest between sessions. Reliability of total FGA scores was assessed using intraclass correlation coefficients (2,1). Internal consistency of the FGA was assessed using the Cronbach alpha and confirmatory factor analysis. Concurrent validity was assessed using the correlation of the FGA scores with balance and gait measurements. Intraclass correlation coefficients of.86 and.74 were found for interrater and intrarater reliability of the total FGA scores. Internal consistency of the FGA scores was.79. Spearman rank order correlation coefficients of the FGA scores with balance measurements ranged from.11 to.67. The FGA demonstrates what we believe is acceptable reliability, internal consistency, and concurrent validity with other balance measures used for patients with vestibular disorders.
                Bookmark

                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                08 February 2019
                February 2019
                : 19
                : 3
                : 686
                Affiliations
                [1 ]Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N 4N1, Canada; sidhuas@ 123456ucalgary.ca (A.S.S.); awatts@ 123456ualberta.ca (A.W.)
                [2 ]Alberta Children’s Hospital Research Institute, Calgary, AB T2N 4N1, Canada
                [3 ]Cumming School of Medicine Bachelor of Health Sciences, University of Calgary, Calgary, AB T2N 4N1, Canada
                [4 ]Faculty of Medicine and Dentistry, University of Alberta, T6G 2R7, Edmonton, AB, Canada
                [5 ]Softwisys Professionals Inc., Calgary, AB T2L 2K7, Canada; luke.su@ 123456softwisys.com (L.S.); brian.graham@ 123456softwisys.com (B.G.); joshua.wu@ 123456softwisys.com (J.W.); suzanne.classen@ 123456softwisys.com (S.C.)
                [6 ]Electronic Innovation Inc., Calgary, AB T2W 1Z7, Canada; bfalter@ 123456telus.net
                Author notes
                [* ]Correspondence: tgchomia@ 123456ucalgary.ca (T.C.); hub@ 123456ucalgary.ca (B.H.); Tel.: +1-403-220-6263 (T.C.); +1-403-210-8640 (B.H.)
                [†]

                These authors contributed equally.

                Author information
                https://orcid.org/0000-0002-2116-5029
                Article
                sensors-19-00686
                10.3390/s19030686
                6387196
                30743986
                a2c68ee5-ea40-4f55-9822-5cfb1db9e643
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 11 January 2019
                : 01 February 2019
                Categories
                Communication

                Biomedical engineering
                wearable,sensors,ambulosono,rehabilitation,gait
                Biomedical engineering
                wearable, sensors, ambulosono, rehabilitation, gait

                Comments

                Comment on this article