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Hellstrom, P. A. & Folke, M. (2019). Carried Weight Affects Walking Speed Monitoring with the IngVaL System. In: Bernd Blobel, Mauro Giacomini (Ed.), The Sixteenth International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2019, June 10-12, Studies in health technology and informatics, volume 261, pages 317-320, 2019: . Paper presented at The Sixteenth International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2019, June 10-12, Studies in health technology and informatics, volume 261, pages 317-320, 2019 (pp. 317-320). Nieuwe Hemweg 6B 1013 BG Amsterdam, The Netherlands: NLM (Medline), 261
Open this publication in new window or tab >>Carried Weight Affects Walking Speed Monitoring with the IngVaL System
2019 (English)In: The Sixteenth International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2019, June 10-12, Studies in health technology and informatics, volume 261, pages 317-320, 2019 / [ed] Bernd Blobel, Mauro Giacomini, Nieuwe Hemweg 6B 1013 BG Amsterdam, The Netherlands: NLM (Medline) , 2019, Vol. 261, p. 317-320Conference paper, Published paper (Refereed)
Abstract [en]

Earlier work has shown that the IngVaL pedobarography system can estimate walking speed during indoor walking using only three forefoot sensors. The aim of this study was to examine if monitoring of walking speed using data from these three forefoot sensors is affected of the weight a person carries, if the person performs a walk in a set speed on the treadmill. Shoe insoles with force sensing resistors were connected to an electronic unit for signal conditioning and sampling and then the data was sent via Bluetooth to a tablet. Fifteen test persons walked five times each carrying five different weights on the treadmill at 1 m/s. The force-time integrals for the sum of the three forefoot sensors were calculated. This study shows that the force-time integrals for the three forefoot sensors shows a linear relationship with the carried weight as long as the person is not fatigued.

Place, publisher, year, edition, pages
Nieuwe Hemweg 6B 1013 BG Amsterdam, The Netherlands: NLM (Medline), 2019
Series
Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365 ; 261
Keywords
carried weight, in-shoe, insole, pedobarography, portable, wearable
National Category
Medical Engineering
Research subject
Electronics
Identifiers
urn:nbn:se:mdh:diva-44661 (URN)10.3233/978-1-61499-975-1-317 (DOI)2-s2.0-85067090455 (Scopus ID)978-1-61499-974-4 (ISBN)978-1-61499-975-1 (ISBN)
Conference
The Sixteenth International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2019, June 10-12, Studies in health technology and informatics, volume 261, pages 317-320, 2019
Funder
Knowledge Foundation, 20120275
Available from: 2019-06-27 Created: 2019-06-27 Last updated: 2019-10-03
Hellstrom, P. A. & FOLKE, M. (2019). Monitoring of Carried Weight During Walk Using a Wearable Pedobarography System. In: Jaime Lloret, Universitat Politecnica de Valencia, Spain (Ed.), The Fifth International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems, SPWID 2019, July 28-August 2, pages 5-8, 2019: . Paper presented at The Fifth International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems, SPWID 2019, July 28-August 2, pages 5-8, 2019 (pp. 5-8). IARIA, PO Box 7827, Wilmington, DE 19803, USA: International Academy, Research and Industry Association (IARIA)
Open this publication in new window or tab >>Monitoring of Carried Weight During Walk Using a Wearable Pedobarography System
2019 (English)In: The Fifth International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems, SPWID 2019, July 28-August 2, pages 5-8, 2019 / [ed] Jaime Lloret, Universitat Politecnica de Valencia, Spain, IARIA, PO Box 7827, Wilmington, DE 19803, USA: International Academy, Research and Industry Association (IARIA), 2019, p. 5-8Conference paper, Published paper (Refereed)
Abstract [en]

Personal health monitoring is advantageous in heavy work environments to reduce the risk of wear and tear and acute injuries. The study of forces between the plantar surface of the foot and a supporting structure, pedobarography, is a  promising candidate for monitoring carried weight during walk. The aim of this study was to evaluate the cost effective pedobarography measurement system, IngVaL. Two aspects are evaluated, namely, how well IngVaL can monitor carried weight during walk and if the novel implementation increased the durability. Fifteen test persons made five treadmill walks with a carried weight of 10, 20, 0, 15, and 5 kg. The equipoise analysis method was used. The Root Mean Square Error (RMSE) for estimation of the carried weight was 13.8 kg. A study with the earlier version of the measurement system had a RMSE of 23.3 kg. The earlier system, as well as commercial systems using this kind of sensors, have problems with sensor durability. The new sensor implementation, where the active sensor area boundary was no longer affected by mechanical stress, resulted in no broken sensors. This study shows an increased performance of carried weight estimation compared with earlier work, together with an improved sensor durability.

Place, publisher, year, edition, pages
IARIA, PO Box 7827, Wilmington, DE 19803, USA: International Academy, Research and Industry Association (IARIA), 2019
Series
SPWID, International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems, ISSN 2519-8440 ; 5
Keywords
pedobarography; carried weight; portable; wearable; insole; in-shoe
National Category
Medical Engineering
Research subject
Electronics
Identifiers
urn:nbn:se:mdh:diva-45370 (URN)978-1-61208-734-4 (ISBN)
Conference
The Fifth International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems, SPWID 2019, July 28-August 2, pages 5-8, 2019
Funder
Knowledge Foundation, 20120275
Available from: 2019-10-03 Created: 2019-10-03 Last updated: 2019-10-11Bibliographically 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: 2019-06-25Bibliographically 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: 2018-02-16Bibliographically 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: 2018-06-05Bibliographically approved
Hellstrom, P. A., Carlén Eriksson, L., Scharff Willners, J., Folke, M. & Ekström, M. (2015). Intelligent Wireless Body Area Network System for Human Motion Analysis. In: : . Paper presented at SPWID 2015, The First International Conference on SmartPortable, Wearable, Implantable and Disability-oriented Devices andSystems.
Open this publication in new window or tab >>Intelligent Wireless Body Area Network System for Human Motion Analysis
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2015 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Human motion analysis provides several important applications. Examples are fall risk assessment, sports biomechanics, physical activity monitoring and rehabilitation. This work in progress paper proposes an intelligent wireless body area network system for motion and gait symmetry analysis. A Bluetooth network with accelerometers, gyroscopes and in-shoe force sensing resistors gathers data and sends it to a web server after intelligent pre-processing and filtering. The system is flexible and adaptable for different use cases including combinations of gait analysis, gait symmetry and pressure measurements between foot and shoe.

Keywords
motion analysis, wireless, body area network, Bluetooth Low Energy
National Category
Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-29459 (URN)978-1-61208-446-6 (ISBN)
Conference
SPWID 2015, The First International Conference on SmartPortable, Wearable, Implantable and Disability-oriented Devices andSystems
Funder
Knowledge Foundation
Available from: 2015-11-11 Created: 2015-11-11 Last updated: 2018-03-05Bibliographically 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
Ehn, M., Hansson, P., Sjölinder, M., Boman, I.-L. -., Folke, M., Sommerfeld, D., . . . Palmcrantz, S. (2015). Users perspectives on interactive distance technology enabling home-based motor training for stroke patients. 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. 145-152).
Open this publication in new window or tab >>Users perspectives on interactive distance technology enabling home-based motor training for stroke patients
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2015 (English)In: Studies in Health Technology and Informatics, vol. 211, 2015, p. 145-152Conference paper, Published paper (Refereed)
Abstract [en]

The aim of this work has been to develop a technical support enabling home-based motor training after stroke. The basis for the work plan has been to develop an interactive technical solution supporting three different groups of stroke patients: (1) patients with stroke discharged from hospital with support from neuro team; (2) patients with stroke whose support from neuro team will be phased out and (3) patients living with impaired motor functions long-term. The technology has been developed in close collaboration with end-users using a method earlier evaluated and described [12]. This paper describes the main functions of the developed technology. Further, results from early user-tests with end-users, performed to identify needs for improvements to be carried out during further technical development. The developed technology will be tested further in a pilot study of the safety and, usefulness of the technology when applied as a support for motor training in three different phases of the post-stroke rehabilitation process. 

National Category
Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-28794 (URN)10.3233/978-1-61499-516-6-145 (DOI)000455821300012 ()2-s2.0-84939245131 (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: 2019-06-18Bibliographically approved
Hellstrom, P. A., Folke, M. & Ekström, M. (2015). Wearable Weight Estimation System. In: Procedia Computer Science, vol. 64: . Paper presented at Conference on ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, CENTERIS/ProjMAN / HCist 2015 October 7-9, 2015 (pp. 146-152). , 64
Open this publication in new window or tab >>Wearable Weight Estimation System
2015 (English)In: Procedia Computer Science, vol. 64, 2015, Vol. 64, p. 146-152Conference paper, Published paper (Refereed)
Abstract [en]

Heavy working conditions, as well as sedentary behaviour, are risk factors for health. There is a lack of wearable measurement systems for monitoring carried loads while walking. Pedobarography, the study of force fields acting between the plantar surface of the foot and a supporting surface, is supposed to be useable for estimating carried loads. Purpose. The aim of this paper is to present a novel method for selecting appropriate measurement samples for weight estimation of carried load during walk and a wearable system, based on pedobarography, consisting of commercial off the shelf components. The main idea is to choose samples when half of the total weight is on the forward sensors and the other half is on the heel sensor “equipoise” in one foot while the other foot not touches the ground. Methods. The system consists of insoles with force sensing resistors, data acquisition with IOIO-OTG and analysis in Excel. Each subject was weighed on an electronic floor scale. Three walks were performed on level ground. The first walk without any added load and then with two increases of carried load. Equipoise was defined as having half the weight distributed on the heel and the other half over the metatarsal pad. An equipoise value of 0.5 represents equilibrium regarding the weight distribution on one foot, with the other foot in the air. Samples were chosen in the equipoise region of 0.5±0.1 and then the average of the samples collected during one minute estimated the total weight. Results. The system can detect increases in carried loads but has a tendency to overestimate them. The estimated value was always larger with increased weight but the system was not always linear. The average overestimation error was 16.7 kg. Discussion. This study shows that this type of wearable system is usable for estimating carried load during walk after calibration of the system to the body weight force distribution on the sensors. There is still need for future development to obtain real-time analysis and direct feedback. A smaller and lighter measurement system is also desirable. Conclusion. This study shows that the novel method, equipoise, is usable for selecting appropriate measurement samples for weight estimation of carried load during walk. This study also shows that the wearable system, consisting of commercial off the shelf components, can be used for these measurements. However, there is a tendency to overestimate the loads.

Series
Procedia Computer Science, ISSN 1877-0509 ; 64
Keywords
pedobarography, weight estimation, wearable, insole, in-shoe
National Category
Medical Engineering
Identifiers
urn:nbn:se:mdh:diva-29458 (URN)10.1016/j.procs.2015.08.475 (DOI)000373839900020 ()2-s2.0-84962909978 (Scopus ID)
Conference
Conference on ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, CENTERIS/ProjMAN / HCist 2015 October 7-9, 2015
Funder
Knowledge Foundation
Available from: 2015-11-11 Created: 2015-11-11 Last updated: 2018-03-05Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-8704-402X

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