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Publications (10 of 20) Show all publications
Kristoffersson, A., Åkerberg, A. & Folke, M. (2023). Towards providing type-2 diabetes patients with homogenous information on physical activity. In: Abstracts: Medicinteknikdagarna 2023. Paper presented at Medicinteknikdagarna 2023, Stockholm, Sweden, 9-11 oktober, 2023 (pp. 54-54).
Open this publication in new window or tab >>Towards providing type-2 diabetes patients with homogenous information on physical activity
2023 (English)In: Abstracts: Medicinteknikdagarna 2023, 2023, p. 54-54Conference paper, Oral presentation with published abstract (Other academic)
National Category
Computer Systems Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-64769 (URN)
Conference
Medicinteknikdagarna 2023, Stockholm, Sweden, 9-11 oktober, 2023
Available from: 2023-11-17 Created: 2023-11-17 Last updated: 2023-11-17Bibliographically approved
Åkerberg, A., Arwald, J., Söderlund, A. & Lindén, M. (2022). An Approach to a Novel Device Agnostic Model Illustrating the Relative Change in Physical Behavior Over Time to Support Behavioral Change. Journal of Technology in Behavioral Science, 7(2), 240-251
Open this publication in new window or tab >>An Approach to a Novel Device Agnostic Model Illustrating the Relative Change in Physical Behavior Over Time to Support Behavioral Change
2022 (English)In: Journal of Technology in Behavioral Science, ISSN 2366-5963, Vol. 7, no 2, p. 240-251Article in journal (Refereed) Published
Abstract [en]

Today, there is a lack of useful visual presentations of data showing progress over long time periods for users of physical activity self-monitoring devices. The aim of this paper was to present a novel theoretical model that describes the relative change in physical behavior over time and to provide examples of model application with previously collected data. Physical behavior, which includes both sedentary behavior and physical activity, was categorized into four dimensions and further processed and adjusted to fit the novel model. The model was visualized both theoretically and by using example data for two out of 20 participants, illustrating the relative change compared to baseline and trendlines for all dimensions. This approach to a novel device agnostic model can visualize the data over time and is intended to be used on an individual basis by users that need support for physical behavioral change. The model, which is based on earlier research, has flexibility and was developed to be used as a complement for data processing, to future and currently available self-monitoring devices within this arena. In the future, the novel model should be studied to see if it is valid, tested with larger samples over longer study periods, and tested for use with other self-monitoring devices to ensure its usefulness and trustworthiness.

Place, publisher, year, edition, pages
Springer, 2022
Keywords
Behavioral change, Dimension, Model, Physical activity, Physical behavior, Sedentary behavior
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:mdh:diva-60390 (URN)10.1007/s41347-022-00246-6 (DOI)2-s2.0-85139797621 (Scopus ID)
Available from: 2022-10-26 Created: 2022-10-26 Last updated: 2022-10-26Bibliographically approved
Folke, M., Åkerberg, A., Arkkukangas, M., Kärnsund, A. & Johnsson, M. (2020). Evaluation of the content of a web tool aimed to identify early markers related to fall risk among middle-aged people. Health and Technology, 1571-1578
Open this publication in new window or tab >>Evaluation of the content of a web tool aimed to identify early markers related to fall risk among middle-aged people
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2020 (English)In: Health and Technology, ISSN 2190-7188, E-ISSN 2190-7196, p. 1571-1578Article in journal (Refereed) Published
Abstract [en]

Today, the health care sector has no test for early age-related deterioration in physical ability. The aim of this study was to evaluate questionnaires, videos and physical tests whose task will be to identify early markers related to an increased fall risk in middle-aged people. If the person is aware of deficits in physical ability related to fall risk, the person can then use that knowledge to perform relevant training that can strengthen the physical ability related to fall risk. Self-efficacy for balance and strength, physical ability related to fall risk and body composition were measured for 36 middle-aged test participants. This study shows that the tested physical exercises were useful for self-assessment of physical ability. Impairment in physical ability could not be identified solely with measurement of body composition, walking speed, questions, videos that show adjustments that are common in people with impaired balance, or an extended version of the Short version of Activities-specific Balance Confidence scale. This study indicates that a combination of questionnaires, videos and physical exercises can evaluate physical ability and act as a method to identify early markers related to increased fall risk. The questionnaire, videos and physical exercises can be implemented in a web tool that could make persons aware that they have decreased physical ability regarding fall risk or that they needlessly make physical compensations when performing daily activities and thus are missing opportunities to strengthen their physical ability every day.

National Category
Engineering and Technology Health Sciences
Identifiers
urn:nbn:se:mdh:diva-51698 (URN)10.1007/s12553-020-00482-x (DOI)000573475100001 ()2-s2.0-85091687628 (Scopus ID)
Projects
Embedded Sensor Systems for Health PlusSTARK - Skattning Tidigt av fysisk förmåga för Alla och Riktat stöd ger Kunskap och minskad fallrisk senare i livet
Available from: 2020-10-20 Created: 2020-10-20 Last updated: 2023-09-15Bibliographically approved
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: 2023-09-15Bibliographically 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, 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: 2024-01-11Bibliographically 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
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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: 2020-11-16Bibliographically approved
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
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-7882-5438

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