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Hellstrom, P. A., Åkerberg, A., Ekström, M. & FOLKE, M. (2018). Evaluation of the IngVaL Pedobarography System for Monitoring of Walking Speed. Healthcare Informatics Research, 24(2), 118-124
Open this publication in new window or tab >>Evaluation of the IngVaL Pedobarography System for Monitoring of Walking Speed
2018 (English)In: Healthcare Informatics Research, ISSN 2093-3681, E-ISSN 2093-369X, ISSN 2093-3681, Vol. 24, no 2, p. 118-124Article in journal (Refereed) Published
Abstract [en]

Objectives

Walking speed is an important component of movement and is a predictor of health in the elderly. Pedobarography, the study of forces acting between the plantar surface of the foot and a supporting surface, is an approach to estimating walking speed even when no global positioning system signal is available. The developed portable system, Identifying Velocity and Load (IngVaL), is a cost effective alternative to commercially available pedobarography systems because it only uses three force sensing resistors. In this study, the IngVaL system was evaluated. The three variables investigated in this study were the sensor durability, the proportion of analyzable steps, and the linearity between the system output and the walking speed.

Methods

Data was collected from 40 participants, each of whom performed five walks at five different self-paced walking speeds. The linearity between the walking speed and step frequency measured with R2 values was compared for the walking speed obtained ‘A’ only using amplitude data from the force sensors, ‘B’ that obtained only using the step frequency, and ‘C’ that obtained by combining amplitude data for each of the 40 test participants.

Results

Improvement of the wireless data transmission increased the percentage of analyzable steps from 83.1% measured with a prototype to 96.6% for IngVaL. The linearity comparison showed that the methods A, B, and C were accurate for 2, 15, and 23 participants, respectively.

Conclusions

Increased sensor durability and a higher percentage of analyzed steps indicates that IngVaL is an improvement over the prototype system. The combined strategy of amplitude and step frequency was confirmed as the most accurate method.

Place, publisher, year, edition, pages
Seoul: Korean Society of Medical Informatics (KOSMI), 2018
Keywords
Humans; Movement; Foot; Walking; Walking Speed
National Category
Medical Engineering
Research subject
Electronics
Identifiers
urn:nbn:se:mdh:diva-39225 (URN)10.4258/hir.2018.24.2.118 (DOI)000432090900004 ()29770245 (PubMedID)2-s2.0-85047476017 (Scopus ID)
Projects
Embedded Sensor Systems (ESS-H)
Funder
Knowledge Foundation, 20120275
Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2019-10-14Bibliographically approved
Åkerberg, A., Söderlund, A. & Lindén, M. (2017). Technologies for physical activity self-monitoring: a study of differences between users and non-users. Open Access Journal of Sports Medicine, 8, 17-26
Open this publication in new window or tab >>Technologies for physical activity self-monitoring: a study of differences between users and non-users
2017 (English)In: Open Access Journal of Sports Medicine, ISSN 1179-1543, E-ISSN 1179-1543, Vol. 8, p. 17-26Article in journal (Refereed) Published
Abstract [en]

Background: Different kinds of physical activity (PA) self-monitoring technologies are used today to monitor and motivate PA behavior change. The user focus is essential in the development process of this technology, including potential future users such as representatives from the group of non-users. There is also a need to study whether there are differences between the groups of users and non-users. The aims of this study were to investigate possible differences between users and non-users regarding their opinions about PA self-monitoring technologies and to investigate differences in demographic variables between the groups. Materials and methods: Participants were randomly selected from seven municipalities in central Sweden. In total, 107 adults responded to the Physical Activity Products Questionnaire, which consisted of 22 questions. Results: Significant differences between the users and non-users were shown for six of the 20 measurement-related items: measures accurately (p = 0.007), measures with high precision (p = 0.024), measures distance (p = 0.020), measures speed (p = 0.003), shows minutes of activity (p = 0.004), and shows geographical position (p = 0.000). Significant differences between the users and non-users were also found for two of the 29 encouragement items: measures accurately (p = 0.001) and has long-term memory (p = 0.019). Significant differences between the groups were also shown for level of education (p = 0.030) and level of physical exercise (p = 0.037). Conclusion: With a few exceptions, the users and the non-users in this study had similar opinions about PA self-monitoring technologies. Because this study showed significant differences regarding level of education and level of physical exercise, these demographic variables seemed more relevant to investigate than differences in opinions about the PA self-monitoring technologies.

Place, publisher, year, edition, pages
DOVE MEDICAL PRESS LTD, 2017
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:mdh:diva-35358 (URN)10.2147/OAJSM.S124542 (DOI)000399936500001 ()28280399 (PubMedID)
Available from: 2017-05-22 Created: 2017-05-22 Last updated: 2018-02-06Bibliographically approved
Åkerberg, A. & Lindén, M. (2017). The relevence of the user perspective in a project within health technology. In: Medicinteknikdagarna 2017 MTD 2017: . Paper presented at Medicinteknikdagarna 2017 MTD 2017, 09 Oct 2017, Västerås, Sweden.
Open this publication in new window or tab >>The relevence of the user perspective in a project within health technology
2017 (English)In: Medicinteknikdagarna 2017 MTD 2017, 2017Conference paper, Published paper (Refereed)
National Category
Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-38625 (URN)
Conference
Medicinteknikdagarna 2017 MTD 2017, 09 Oct 2017, Västerås, Sweden
Available from: 2018-03-06 Created: 2018-03-06 Last updated: 2018-03-06Bibliographically approved
Gustafsson, C., Åkerberg, A., Folke, M., Therese, B. & Lindén, M. (2016). A method to create interdisciplinary health and welfare technology research projects: collaboration between academia and care providers. In: Johanna EMH van Bunswijk (Ed.), The one-page paper collection of the 10th World Conference of Gerontechnology: . Paper presented at ISG 2016, 10th World Conference of Gerontechnology (pp. 29-29). , 15
Open this publication in new window or tab >>A method to create interdisciplinary health and welfare technology research projects: collaboration between academia and care providers
Show others...
2016 (English)In: The one-page paper collection of the 10th World Conference of Gerontechnology / [ed] Johanna EMH van Bunswijk, 2016, Vol. 15, p. 29-29Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

We are facing an aging population1 and the need for health and welfare technology to meet the users’ ‘need is a fact. To meet this challenge, the Arena for Health and Welfare Technology (the Arena) was initiated at Mälardalen University in 2014, as a multi-professional and interdisciplinary research initiative2. The aim of the Arena is to increase the collaboration of the researchers from the University and the external actors to create benefit and value for the future health and welfare. The Arena organizes events promoting interaction and interdisciplinary research projects. At a thematic day in May 2016, a working process to effectively initiate interdisciplinary research based on the users ‘needs, was introduced. Method To increase the participation for the thematic day and for future research projects within health and welfare technology, a call offering a grand from the Arena fond was created for participants that attended the thematic day. This call was aimed at stimulate the creation of interdisciplinary research projects within health and welfare technology, with the purpose to write proposals for external research funding. Speakers from the region were invited, representing health and social care, companies within the health and welfare technology field and regional R&D units. The speakers were presenting real needs based from the view of the clients, patients, relatives, staffs and organizations, which possibly could be solved by using health and welfare technology. After the user need presentations, a working process was followed, led by the company Konkret Utveckling AB. The goal of the working process was to identify prioritized needs for the day, and in the continuation create project groups to be the basis for future interdisciplinary research projects. After identifying the prioritized user needs, project groups started work to specify the framework for the planned research project, and then make a short oral presentation to share and discuss their research ideas. Results & Discussion The theme day attracted more than 50 interested participants. At the end of the thematic day, four interdisciplinary groups, including new constellations of researchers exists. The aims of the four groups were based on prioritized user needs, presented by regional health and welfare representatives. Involved group participants, researchers and company representatives, represented different disciplines, for example engineering, sensor technology, robotics, pedagogics, physiotherapy, nursing, social work and economy. The working method used during the thematic day was successful, and can be used in developing initiatives for interdisciplinary health and welfare technology research projects based on the needs of the end users.

Keywords
welfare technology co-production
National Category
Health Sciences
Identifiers
urn:nbn:se:mdh:diva-34787 (URN)
Conference
ISG 2016, 10th World Conference of Gerontechnology
Available from: 2017-02-05 Created: 2017-02-05 Last updated: 2019-11-17
Hellstrom, P. A., Åkerberg, A., Ekström, M. & Folke, M. (2016). Walking Intensity Estimation with a Portable Pedobarography System. In: Studies in Health Technology and Informatics: . Paper presented at 13th International Conference on Wearable, Micro & Nano Technologies for Personalized Health (pHealth 2016) (pp. 27-32). IOS Press, 224
Open this publication in new window or tab >>Walking Intensity Estimation with a Portable Pedobarography System
2016 (English)In: Studies in Health Technology and Informatics, IOS Press , 2016, Vol. 224, p. 27-32Conference paper, Published paper (Refereed)
Abstract [en]

The aim of this pilot study was to investigate the possibility to find a correlation between the output from a portable pedobarography system and the walking intensity expressed as walking speed. The system uses shoe insoles with force sensing resistors and wireless transmission of the data via Bluetooth. The force-time integral, at the toe-off phase of the step, for the force sensors in the forward part of the right foot was used to measure impulse data for 10 subjects performing walks in three different walking speeds. This data was then corrected by multiplication with the step frequency. This pilot study indicates that the portable pedobarography system output shows a linear relationship with the walking intensity expressed as walking speed on an individual level.

Place, publisher, year, edition, pages
IOS Press, 2016
National Category
Medical Laboratory and Measurements Technologies
Research subject
Electronics
Identifiers
urn:nbn:se:mdh:diva-31533 (URN)10.3233/978-1-61499-653-8-27 (DOI)000385238500005 ()27225549 (PubMedID)2-s2.0-84973454832 (Scopus ID)
Conference
13th International Conference on Wearable, Micro & Nano Technologies for Personalized Health (pHealth 2016)
Projects
ESS-H
Funder
Knowledge Foundation, 20120275
Available from: 2016-05-24 Created: 2016-05-06 Last updated: 2019-10-14Bibliographically approved
Åkerberg, A., Koshmak, G., Johansson, A. & Lindén, M. (2015). Heart rate measurement as a tool to quantify sedentary behavior. In: Studies in Health Technology and Informatics, vol. 211: . Paper presented at 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2015, 2 June 2015 through 4 June 2015 (pp. 105-110).
Open this publication in new window or tab >>Heart rate measurement as a tool to quantify sedentary behavior
2015 (English)In: Studies in Health Technology and Informatics, vol. 211, 2015, p. 105-110Conference paper, Published paper (Refereed)
Abstract [en]

Sedentary work is very common today. The aim of this pilot study was to attempt to differentiate between typical work situations and to investigate the possibility to break sedentary behavior, based on physiological measurement among office workers. Ten test persons used one heart rate based activity monitor (Linkura), one pulse oximeter device (Wrist) and one movement based activity wristband (Fitbit Flex), in different working situations. The results showed that both heart rate devices, Linkura and Wrist, were able to detect differences in heart rate between the different working situations (resting, sitting, standing, slow walk and medium fast walk). The movement based device, Fitbit Flex, was only able to separate differences in steps between slow walk and medium fast walk. It can be concluded that heart rate measurement is a promising tool for quantifying and separating different working situations, such as sitting, standing and walking. 

National Category
Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-28788 (URN)10.3233/978-1-61499-516-6-105 (DOI)000455821300008 ()2-s2.0-84939237142 (Scopus ID)9781614995159 (ISBN)
Conference
12th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2015, 2 June 2015 through 4 June 2015
Available from: 2015-08-28 Created: 2015-08-28 Last updated: 2019-09-20Bibliographically approved
Hellstrom, P. A., Åkerberg, A. & Folke, M. (2015). Posture Sensor as Feedback when Lifting Weights. In: : . Paper presented at 4th International Conference on Ambulatory Monitoring of Physical Activity and Movement, ICAMPAM 2015, University of Limerick, Ireland, June 10-12..
Open this publication in new window or tab >>Posture Sensor as Feedback when Lifting Weights
2015 (English)Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Introduction

When lifting a package or during strength training, right posture of the back is important to avoid back pain. Different sensor solutions to measure posture of the back are presented in research articles and patents. The aim of this study was to investigate the possibility of using Lumo Lift as a device of giving feedback of good posture when lifting weights.

Method

Lumo Lift (Lumo Body Tech, Inc, USA) is an activity tracker aimed to for example guide the carrier to good posture. The small device is attached to the clothes using a magnetic clasp. It is calibrated to the user's good posture and vibrates when the posture is inaccurate. In this study the angle, in which the Lumo Lift is allowed to tilt before the device vibrates, was investigated. The device was placed at the top of a ruler and calibrated in upright position. Thereafter the ruler was tilted and the angle when the equipment vibrated was noted. Two different speeds of the tilts were performed. One speed simulating the normal speed of an inaccurate tilting torso when lifting weights. And one slow speed. Two Lumo Lifts were tilted 20 times forward and backwards, respectively.

Result

In normal speed the measured angle was between 6 and 25 degrees, when tilted forward, except two times when one of the devices gave no vibration during the whole tilt of 90 degrees. When tilted backwards the angle was between 8 and 32 degrees. During slow tilt the angle varied from 5 to 13 degrees forward and 4 to 13 degrees backwards.

Discussion and conclusion

Angle tilted before vibration is too large in normal tilting speed. This study indicates that Lumo Lift is not suitable of giving posture feedback during lifting in daily life.

National Category
Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-29463 (URN)
Conference
4th International Conference on Ambulatory Monitoring of Physical Activity and Movement, ICAMPAM 2015, University of Limerick, Ireland, June 10-12.
Funder
Knowledge Foundation, 20120275
Available from: 2015-11-11 Created: 2015-11-11 Last updated: 2018-05-30Bibliographically approved
Åkerberg, A., Hellstrom, Per Anders Rickard, P. & Folke, M. (2015). Steps measured in relation to different amount of physical activity. In: 4th International Conference on Ambulatory Monitoring of Physical Activity and Movement ICAMPAM 2015: . Paper presented at 4th International Conference on Ambulatory Monitoring of Physical Activity and Movement ICAMPAM 2015, 10-12 Jun 2015, Limerick, Ireland.
Open this publication in new window or tab >>Steps measured in relation to different amount of physical activity
2015 (English)In: 4th International Conference on Ambulatory Monitoring of Physical Activity and Movement ICAMPAM 2015, 2015Conference paper, Published paper (Refereed)
National Category
Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-30461 (URN)
Conference
4th International Conference on Ambulatory Monitoring of Physical Activity and Movement ICAMPAM 2015, 10-12 Jun 2015, Limerick, Ireland
Available from: 2015-12-21 Created: 2015-12-21 Last updated: 2018-02-21Bibliographically approved
Åkerberg, A., Söderlund, A. & Lindén, M. (2014). Accuracy in pedometers: Dependent on the technology for measurement?. In: Studies in Health Technology and Informatics: . Paper presented at 11th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2014, 11 June 2014 through 13 June 2014, Vienna (pp. 173-175). , 200
Open this publication in new window or tab >>Accuracy in pedometers: Dependent on the technology for measurement?
2014 (English)In: Studies in Health Technology and Informatics, 2014, Vol. 200, p. 173-175Conference paper, Published paper (Refereed)
Abstract [en]

Today, there are a variety of pedometers available based on different technologies. The aim of this study was to investigate step measurement accuracy regarding two different pedometer technologies, spring-suspended lever arm and accelerometers, in six walking environments, compared to a reference method. Descriptive data indicates that the spring-suspended lever arm pedometer had the largest SD and underestimated the steps in five out of six walking environments. The ANOVA showed that both pedometer technologies performed accurate measurements in one of the walking environments. However, none of the pedometer technologies performed accurate step measurements in all six walking environments.

Series
Studies in Health Technology and Informatics, ISSN 1879-8365
Keywords
accelerometer, Pedometer, step, technology, walking environment
National Category
Health Sciences
Identifiers
urn:nbn:se:mdh:diva-25702 (URN)10.3233/978-1-61499-393-3-173 (DOI)000450326400027 ()2-s2.0-84903740297 (Scopus ID)9781614993926 (ISBN)
Conference
11th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2014, 11 June 2014 through 13 June 2014, Vienna
Available from: 2014-07-21 Created: 2014-07-18 Last updated: 2019-11-11
Åkerberg, A., Söderlund, A. & Lindén, M. (2014). Evaluation of a Selected Pedometer Cell Phone Application for iPhone. In: International conference on health and social welfare and coproduction HW2014: . Paper presented at International conference on health and social welfare and coproduction HW2014, 09 Sep 2014, Eskilstuna, Sweden.
Open this publication in new window or tab >>Evaluation of a Selected Pedometer Cell Phone Application for iPhone
2014 (English)In: International conference on health and social welfare and coproduction HW2014, 2014Conference paper, Published paper (Refereed)
National Category
Engineering and Technology Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-28106 (URN)
Conference
International conference on health and social welfare and coproduction HW2014, 09 Sep 2014, Eskilstuna, Sweden
Projects
ESS-H - Embedded Sensor Systems for Health Research Profile
Available from: 2015-06-08 Created: 2015-06-08 Last updated: 2019-11-11
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-7882-5438

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