| 1. |
- 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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| 2. |
- Barua, Shaibal, et al.
(författare)
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Classifying drivers' cognitive load using EEG signals
- 2017
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Ingår i: Studies in Health Technology and Informatics. - : IOS Press. - 0926-9630 .- 1879-8365. - 9781614997603 ; 237, s. 99-106
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Tidskriftsartikel (refereegranskat)abstract
- A growing traffic safety issue is the effect of cognitive loading activities on traffic safety and driving performance. To monitor drivers' mental state, understanding cognitive load is important since while driving, performing cognitively loading secondary tasks, for example talking on the phone, can affect the performance in the primary task, i.e. driving. Electroencephalography (EEG) is one of the reliable measures of cognitive load that can detect the changes in instantaneous load and effect of cognitively loading secondary task. In this driving simulator study, 1-back task is carried out while the driver performs three different simulated driving scenarios. This paper presents an EEG based approach to classify a drivers' level of cognitive load using Case-Based Reasoning (CBR). The results show that for each individual scenario as well as using data combined from the different scenarios, CBR based system achieved approximately over 70% of classification accuracy.
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| 3. |
- Blusi, Madeleine, Ph.D., et al.
(författare)
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Feasibility and Acceptability of Smart Augmented Reality Assisting Patients with Medication Pillbox Self-Management
- 2019
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Ingår i: Studies in Health Technology and Informatics. - : IOS Press. - 0926-9630 .- 1879-8365. ; 264, s. 521-525
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Tidskriftsartikel (refereegranskat)abstract
- Complex prescribed medicine regimens require extensive self-management. Handling multiple pills can be confusing; using a pillbox organiser is a common strategy. A smart Medication Coach Intelligent Agent (MCIA) can support patients in handling medicine. The aim of this research was to evaluate the feasibility and acceptability of the MCIA. A prototype was tested with 15 participants, age 17-76, filled a pillbox according to prescription assisted by the MCIA implemented in a Microsoft HoloLens. A quantitative method using questionnaires was applied. Results showed that using the MCIA implemented in an AR-headset, to assist people with prescribed polypharmacy regimen in filling a pillbox, was feasible and acceptable. There was a difference related to age regarding people's willingness to use an AR-headset for medication self-management. People older than 65 felt less comfortable using the technology and were also more hesitant to use the technology than those under 65.
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| 4. |
- Borgestig, Maria, 1968-, et al.
(författare)
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The Benefits of Gaze-Based Assistive Technology in Daily Activities for Children with Disabilities
- 2017
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Ingår i: Studies in Health Technology and Informatics. - Amsterdam, Netherlands : IOS Press. - 0926-9630 .- 1879-8365. ; 242, s. 1082-1088, s. 1082-1088
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Tidskriftsartikel (refereegranskat)abstract
- This article reports research findings on how gaze-based assistive technology contributed to performance of daily activities for a group of children with severe physical impairments and without speech.
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| 5. |
- Bärkås, Annika, et al.
(författare)
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Analysis of Voluntary User Feedback of the Swedish National PAEHR Service
- 2019
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Ingår i: MEDINFO 2019. - : IOS Press. - 9781643680033 - 9781643680026 ; 264, s. 1126-1130
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Konferensbidrag (refereegranskat)abstract
- "Journalen" is a patient accessible electronic health record (PAEHR) and the national eHealth service for Sweden's citizens to gain access to their EHR. The Swedish national eHealth organization Inera, responsible for Journalen, created an inbox to receive voluntary user feedback about Journalen in order to improve the service from the user perspective. Based on voluntary user feedback via email. This study explored patients' experiences of using the national eHealth service and identified pros and cons. A mixed method content analysis was performed. In total, 1084 emails from 2016-2017 have been analyzed. 9 categories were identified, the most frequent ones related to questions about why some information was not accessible (due to regional differencies), feedback (including only positive or negative comments as well as constructive improvement suggestions), and emails about errors that user found in their record. These data can be successfully used to continuously improve an already implemented eHealth service.
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| 6. |
- Eftring, Håkan, et al.
(författare)
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Eliciting parents' individual requirements for an inclusive digital school system
- 2016
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Ingår i: Universal Design 2016: Learning from the Past, Designing for the Future - Proceedings of the 3rd International Conference on Universal Design, UD 2016. - 1879-8365 .- 0926-9630. - 9781614996835 ; 229, s. 211-221
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Konferensbidrag (refereegranskat)abstract
- Parents often have a busy time sorting out their life puzzles, including getting information about their children's activities in school. More and more communication between teachers and parents take place via digital school systems. It can be hard for parents to find the information they are looking for and the teacher decides when information is sent and what communication method to use. All parents, but especially parents with disabilities, might have individual preferences on how to receive information and how to adapt meetings at school. In this paper we present a project where we involved parents and teachers in focus groups, an idea workshop and iterative user trials of a digital prototype. The goal was to elicit parents' individual requirements for an inclusive digital school system, where they can store their individual preferences about how and when to receive information from school and what requirements they have on meetings at school. Preliminary results show that we managed to create open and focused discussions among parents and teachers. The parents reacted very positively on an onboarding page with the possibility to quickly and easily enter preferences after their first log in, but more work needs to be done on how preferences are categorized on the onboarding page. Finally, parents need to get clear feedback from teachers and school when they have entered or updated preferences, so they can trust that their preferences will be met.
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| 7. |
- Erlingsdottir, Gudbjörg, et al.
(författare)
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Lost in Translation? Care Coordination cross Contexts in Swedish Homecare Nursing
- 2019
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Ingår i: Context Sensitive Health Informatics : Sustainability in Dynamic Ecosystems - Sustainability in Dynamic Ecosystems. - 0926-9630 .- 1879-8365. - 9781643680040 - 9781643680040 ; 265, s. 42-47
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Bokkapitel (refereegranskat)abstract
- The responsibilities for delivery of care in Sweden is divided between the regions and the municipalities. The regions run the hospitals and the primary care centres (PCCs) whereas the municipalities are responsible for homecare nursing and nursing homes. The homecare nurses and the doctors they need to seek advice from, thus belong to different organizations/contexts. As more patients with multi- and long-term illnesses are taken care of in their homes the workload of the homecare nurses has increased. A new healthcare agreement has thus been signed between a region in South Sweden and its municipalities. The healthcare agreement states that doctors from the PCCs are to form mobile teams together with the homecare nurses. This paper reports from a pre-study investigating how the agreement, in terms of translation sociology, is interpreted in four of the municipalities. The aim of the research project as a whole is to develop digital support systems for the mobile teams.
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| 8. |
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| 9. |
- Ghareh Baghi, Arash, et al.
(författare)
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An Edge Computing Method for Extracting Pathological Information from Phonocardiogram
- 2019
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Ingår i: Studies in Health Technology and Informatics. - : IOS Press. - 0926-9630 .- 1879-8365. - 9781614999867 ; 262, s. 364-367
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents a structure of decision support system for pediatric cardiac disease, based on an Internet of Things (IoT) framework. The structure performs the intelligent decision making at its edge processing level, which classifies the heart sound signal, to three classes of cardiac conditions, normal, mild disease, and critical disease. Three types of the errors are introduced to evaluate the performance of the processing method, Type 1, 2 and 3, defined as the incorrect classification from the critical disease, mild, and normal, respectively. The method is validated using 140 real data patient records collected from the hospital referrals. The estimated negative errors for the Type 1, and 2, are calculated to be 0% and 4.8%, against the positive errors which are 6.3% and 13.3%, respectively. The Type 3, is calculated to be 16.7%, showing a high sensitivity of the method to be used in an IoT healthcare framework.
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| 10. |
- 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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