| 1. |
- Lidström, Helene, et al.
(författare)
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Using a Participatory Action Research Design to Develop an Application Together with Young Adults with Spina Bifida
- 2015
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Ingår i: Studies in Health Technology and Informatics. - : IOS PRESS. - 0926-9630 .- 1879-8365. ; 217, s. 189-194, s. 189-194
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Tidskriftsartikel (refereegranskat)abstract
- INTRODUCTION: Young adults with spina bifida often have cognitive difficulties. As a result, young adults with disabilities are facing challenges with respect to housing, education, relationships and vocation which increases risk of unemployment.AIM: The aim is to describe a method to develop a smartphone application together with young adults with spina bifida as an assistive technology for cognition.METHOD: In a Participatory Action Research approach, young adults (n = 5) with spina bifida were individually interviewed with Canadian Occupational Performance Measure (COPM). The participants' restrictions in everyday life activities, identified by COPM, were discussed in a focus group formed by the young adults and the result was analyzed using qualitative content analysis. Developing the application the principles of Human-Centered-Design and Universal Design was followed.RESULT: An application made for iOS with a focus on usability and worthiness, done by creating a clear and intuitive interface, with a calendar function useful for example to initiate and plan social activities was developed.CONCLUSION: The method seems useful when the outcome from the project, a beta version of an application for iOS Smartphone, was achieved in agreement with the participants. The study highlight the importance of involving individuals with disabilities when developing smartphone applications.
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| 2. |
- Ödman, Torbjörn, et al.
(författare)
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Reflection/Transmission Study of Two Fabrics with Microwave Properties
- 2014
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Ingår i: Studies in Health Technology and Informatics. - 0926-9630. ; 200, s. 95-100, s. 95-100
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Tidskriftsartikel (refereegranskat)abstract
- In this study, the transmission and reflection of two conductive fabrics are investigated in the frequency range from 2 to 18 GHz. One of the fabrics is a non-woven polypyrrole and the other consists of a polyethylene warp with steel threads in the weft. Reflection and transmission measurements are performed in order to characterize the electromagnetic properties of the materials. Reflection measurements are performed for two polarizations at normal, 0°, and 60° incident angles. Transmission measurements are also done for two polarization directions at normal incidence. The results show that the fabric with the steel filler reflects most of the incident radiation and has very low transmission with some polarization dependence. The polypyrrole non-woven fabric, on the other hand, has reflection and transmission properties that show that it is absorbing the incident radiation. Wearable on-body sensors that in addition are comfortable to wear can be integrated in the textile of clothes. These sensors can eg., be used to monitor health or analyze gait. The fabrics have the potential to be used in health applications when designing on-body sensors, e.g for movement analysis.
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| 3. |
- Hedvall, Per-Olof, et al.
(författare)
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Towards 3rd Generation Universal Design: Exploring Nonclusive Design
- 2022
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Ingår i: Transforming our World through Universal Design for Human Development, Proceedings of the Sixth International Conference on Universal Design, 7-9 September 2022, Brescia, Italy / Ilaria Garofolo, Giulia Bencini, Alberto Arenghi (eds.). - Amsterdam : IOS Press. - 0926-9630 .- 1879-8365. - 9781643683041
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Konferensbidrag (refereegranskat)abstract
- In this paper, we identify and describe early signs of a shift towards 3rd generation UD, of which “nonclusive design” is an essential part. The paper explores the significance of such a shift using examples of the built and designed environment and of signage. Nonclusive design means design that resists categorisations of bodies/roles and that does not come with predefined or presupposed limits in terms of who it is meant for. We outline seven themes characterising the shift towards nonclusive design: 1) from included to undefined users, 2) from person to function, 3) from adaptism to variation, 4) from separation to convergence, 5) from reactive to proactive, 6) from unaware to aware, and 7) from explicit to tacit. Nonclusive design directs attention to context instead of the individual, focusing on possibilities, functions and facilities. It has a convergent character, highlighting variation and unity rather than separation. Nonclusive design presupposes awareness, knowledge and proactive development void of adaptism. It incorporates human variation without reiterating patterns of norm-deviation. We argue that the continued growth of UD demands, is part of, and contributes to a shift in culture, with nonclusive, intersectional thinking as a key future driver. In such a culture, 3rd generation UD can contribute as a common guiding mindset, as a source for innovation, as a way to listen for diversity in all its forms, and as a way to lead towards a sustainable society.
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| 4. |
- Ödman, Torbjörn, et al.
(författare)
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A study of different fabrics to increase radar cross section of humans
- 2015
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Ingår i: Stud. Health Technol. Informatics. - : IOS Press. - 9781614995159 ; 211, s. 201-206
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Konferensbidrag (refereegranskat)abstract
- This purpose of the study was to increase the visibility on radar for unprotected pedestrians with the aid of conducting fabric. The experiment comprised measurements of four types of fabric to determine the radio frequency properties, such as radar cross section (RCS) for the vehicle radar frequency 77 GHz and transmission (shielding) in the frequency range 3-18 GHz. Two different thicknesses of polypyrrole (PPy) nonvowen fabric were tested and one thickness for 30 % and 40 % stainless steel fabrics respectively. A jacket with the thinner nonvowen material and one with 40 % steel were tested and compared to an unmodified jacket in the RCS measurement. The measurement showed an increase in RCS of 4 dB for the jacket with the 40 % steel lining compared to the unmodified jacket. The transmission measurement was aimed at determining the fabric with the highest transmission of an incoming radio wave. The 30 % steel fabric and the two thicknesses of the nonvowen fabrics were tested. One practical application is for example the use of radar reflective material in search and rescue (SAR) clothes. The study showed that the 30 % steel fabric was the best candidate for further RCS measurements. © 2015 The authors and IOS Press. All rights reserved.
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| 5. |
- Afifi, S., et al.
(författare)
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A Novel Medical Device for Early Detection of Melanoma
- 2019
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Ingår i: Studies in Health Technology and Informatics. - : NLM (Medline). - 0926-9630 .- 1879-8365. ; 261, s. 122-127
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Tidskriftsartikel (refereegranskat)abstract
- Melanoma is the deadliest form of skin cancer. Early detection of melanoma is vital, as it helps in decreasing the death rate as well as treatment costs. Dermatologists are using image-based diagnostic tools to assist them in decision-making and detecting melanoma at an early stage. We aim to develop a novel handheld medical scanning device dedicated to early detection of melanoma at the primary healthcare with low cost and high performance. However, developing this particular device is very challenging due to the complicated computations required by the embedded diagnosis system. In this paper, we propose a hardware-friendly design for implementing an embedded system by exploiting the recent hardware advances in reconfigurable computing. The developed embedded system achieved optimized implementation results for the hardware resource utilization, power consumption, detection speed and processing time with high classification accuracy rate using real data for melanoma detection. Consequently, the proposed embedded diagnosis system meets the critical embedded systems constraints, which is capable for integration towards a cost- and energy-efficient medical device for early detection of melanoma.
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| 6. |
- Ask, Per, et al.
(författare)
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NovaMedTech - A regional program for supporting new medical technologies in personalized health care
- 2012
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Ingår i: Studies in Health Technology and Informatics. - 9781614990680 ; 177, s. 71-5
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Konferensbidrag (refereegranskat)abstract
- NovaMedTech is an initiative funded from EU structural funds for supporting new medical technologies for personalized health care. It aims at bringing these technologies into clinical use and to the health care market. The program has participants from health care, industry and academia in East middle Sweden. The first three year period of the program was successful in terms of product concepts tried clinically, and number of products brought to a commercialization phase. Further, the program has led to a large number of scientific publications. Among projects supported, we can mention: Intelligent sensor networks; A digital pen to collect medical information about health status from patients; A web-based intelligent stethoscope; Methodologies to measure local blood flow and nutrition using optical techniques; Blood flow assessment from ankle pressure measurements; Technologies for pressure ulcer prevention; An IR thermometer for improved accuracy; A technique that identifies individuals prone to commit suicide among depressed patients; Detection of infectious disease using an electronic nose; Identification of the lactate threshold from breath; Obesity measurements using special software and MR camera; and An optical probe guided tumor resection. During the present three years period emphasis will be on entrepreneurial activities supporting the commercialization and bringing products to the market.
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| 7. |
- Ghareh Baghi, Arash, et al.
(författare)
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Structural Risk Evaluation of a Deep Neural Network and a Markov Model in Extracting Medical Information from Phonocardiography
- 2018
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Ingår i: Studies in Health Technology and Informatics. - : IOS Press. - 0926-9630 .- 1879-8365. - 9781614998792 - 9781614998808 ; 251, s. 157-160
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents a method for exploring structural risk of any artificial intelligence-based method in bioinformatics, the A-Test method. This method provides a way to not only quantitate the structural risk associated with a classification method, but provides a graphical representation to compare the learning capacity of different classification methods. Two different methods, Deep Time Growing Neural Network (DTGNN) and Hidden Markov Model (HMM), are selected as two classification methods for comparison. Time series of heart sound signals are employed as the case study where the classifiers are trained to learn the disease-related changes. Results showed that the DTGNN offers a superior performance both in terms of the capacity and the structural risk. The A-Test method can be especially employed in comparing the learning methods with small data size.
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| 8. |
- Gharehbaghi, Arash, et al.
(författare)
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Distinguishing Septal Heart Defects from the Valvular Regurgitation Using Intelligent Phonocardiography
- 2020
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Ingår i: Digital Personalized Health and Medicine. - : IOS Press. - 9781643680828 - 9781643680835 ; 270, s. 178-182
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Konferensbidrag (refereegranskat)abstract
- This paper presents an original machine learning method for extracting diagnostic medical information from heart sound recordings. The method is proposed to be integrated with an intelligent phonocardiography in order to enhance diagnostic value of this technology. The method is tailored to diagnose children with heart septal defects, the pathological condition which can bring irreversible and sometimes fatal consequences to the children. The study includes 115 children referrals to an university hospital, consisting of 6 groups of the individuals: atrial septal defects (10), healthy children with innocent murmur (25), healthy children without any murmur (25), mitral regurgitation (15), tricuspid regurgitation (15), and ventricular septal defect (25). The method is trained to detect the atrial or ventricular septal defects versus the rest of the groups. Accuracy/sensitivity and the structural risk of the method is estimated to be 91.6%/88.4% and 9.89%, using the repeated random sub sampling and the A-Test method, respectively.
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| 9. |
- GholamHosseini, Hamid, et al.
(författare)
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Obesity Risk Assessment Model Using Wearable Technology with Personalized Activity, Calorie Expenditure and Health Profile
- 2019
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Ingår i: Studies in Health Technology and Informatics. - : NLM (Medline). - 0926-9630 .- 1879-8365. ; 261, s. 91-96
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Tidskriftsartikel (refereegranskat)abstract
- There is a worldwide increase in the rate of obesity and its related long-term conditions, emphasizing an immediate need to address this modern-age global epidemic of healthy living. Moreover, healthcare spending on long-term or chronic care conditions such as obesity is increasing to the point that requires effective interventions and advancements to reduce the burden of the healthcare. This research focuses on the early risk assessment of overweight/obesity using wearable technology. We establish an individualised health profile that identifies the level of activity and current health status of an individual using real-time activity and vital signs. We developed an algorithm to assess the risk of obesity using the individual's current activity and calorie expenditure. The algorithm was deployed on a smartphone application to collect wearable device data, and user reported data. Based on the collected data, the proposed application assesses the risk of obesity/overweight, measures the current activity level and recommends an optimized calorie plan.
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| 10. |
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