| 1. |
- Granmo, Tobias, 1972, et al.
(författare)
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Seminarieserien "Sinnenas musik"- känsliga bitar
- 2017
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Ingår i: Jonsereds Herrgård 18 oktober 2017.
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Konstnärligt arbete (övrigt vetenskapligt/konstnärligt)abstract
- SÖK! LYSSNA! ÖVERRASKA! Den uppmaningen ger tonsättaren Torbjörn Grass musikerna i sitt partitur Spektra för instrument och elektronik. Vid det fjärde Jonseredsseminariet i serien Sinnenas musik är det mot känseln uppmärksamheten riktas. Hur känsliga är vi för ljud och varför är vi så känsliga i fråga om vilken musik vi lyssnar på? Duo/Granmo Berg utforskar begreppet känsel ur ett musikaliskt perspektiv tillsammans med Ylva Öhrner är barnneurolog och överläkare vid Landstinget, Västmanland och Torbjörn Grass gitarrist och tonsättare med en stor passion för ljud. De samtalar och diskuterar vidare med en inbjuden skara specialister från olika områden.
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| 2. |
- Xu, Cheng
(författare)
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A Segmented Silicon Strip Detector for Photon-Counting Spectral Computed Tomography
- 2012
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Konstnärligt arbete (övrigt vetenskapligt/konstnärligt)abstract
- Spectral computed tomography with energy-resolving detectors has a potential to improve the detectability of images and correspondingly reduce the radiation dose to patients by extracting and properly using the energy information in the broad x-ray spectrum. A silicon photon-counting detector has been developed for spectral CT and it has successfully solved the problem of high photon flux in clinical CT applications by adopting the segmented detector structure and operating the detector in edge-on geometry. The detector was evaluated by both the simulation and measurements.The effects of energy loss and charge sharing on the energy response of this segmented silicon strip detector with different pixel sizes were investigated by Monte Carlo simulation and a comparison to pixelated CdTe detectors is presented. The validity of spherical approximations of initial charge cloud shape in silicon detectors was evaluated and a more accurate statistical model has been proposed.A photon-counting energy-resolving application specific integrated circuit (ASIC) developed for spectral CT was characterized extensively by electrical pulses, pulsed laser and real x-ray photons from both the synchrotron and an x-ray tube. It has been demonstrated that the ASIC performs as designed. A noise level of 1.09 keV RMS has been measured and a threshold dispersion of 0.89 keV RMS has been determined. The count rate performance of the ASIC in terms of count loss and energy resolution was evaluated by real x-rays and promising results have been obtained.The segmented silicon strip detector was evaluated using synchrotron radiation. An energy resolution of 16.1% has been determined with 22 keV photons in the lowest flux limit, which deteriorates to 21.5% at an input count rate of 100 Mcps mm−2. The fraction of charge shared events has been estimated and found to be 11.1% for 22 keV and 15.3% for 30 keV. A lower fraction of charge shared events and an improved energy resolution can be expected by applying a higher bias voltage to the detector.
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| 3. |
- Granmo, Tobias, 1972, et al.
(författare)
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Sinnenas musik " Öronmärkta toner"
- 2016
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Ingår i: Jonsereds Herrgård 13 September 2016.
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Konstnärligt arbete (övrigt vetenskapligt/konstnärligt)abstract
- År 1952 skakade tonsättaren John Cage om den klassiska musikscenen när han komponerade 4,32. Verket, i tre satser innehöll endast paus... Vid det andra Jonseredsseminariet i serien Sinnenas musik är det hörseln som kommer att stå i centrum för diskussionen. Hur lyssnar vi på musik och vad är musik? Hur påverkas vi av den musik vi hör? Vad kan vi med våra sinnens hjälp lära oss? Duo Granmo/Berg utforskar våra öron ur ett musikaliskt perspektivet tillsammans med Överläkare Radi Jönsson samt diskuterar och samtalar med en inbjuden skara av specialister från olika områden.
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| 4. |
- Sodhro, Ali Hassan, 1986-, et al.
(författare)
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Internet of medical things for independent living and re-learning
- 2021
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Ingår i: GLOBAL HEALTH 2021 : The Tenth International Conference on Global Health Challenges At: Barcelona, Spain. - 9781612088921 ; , s. 1-5, s. 1-5
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- This position paper gives better insight about the role and importance of Internet of Medical Things (IoMT) for independent living and re-learning for older adults. Sensing Technologies are the paradigm shift for transforming conventional healthcare practices into the smart, and self-assisted activities, which are envisioned for today's medical world. Internet of Things (IoT) and IoMT are the interrelated technologies for promoting independent living and re-learning practices. In this paper, re-learning is defined as the process for adults to recover useful instrumental activities of daily living skills that have been lost after an impairment.
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| 5. |
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| 6. |
- Karimpour, Masoumeh, 1986-
(författare)
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Multi-platform metabolomics assays to study the responsiveness of the human plasma and lung lavage metabolome
- 2016
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Konstnärligt arbete (övrigt vetenskapligt/konstnärligt)abstract
- Metabolomics as a field has been used to track changes and perturbations in the human body by investigating metabolite profiles indicating the change of metabolite levels over time and in response to different challenges. In this thesis work, the main focus was on applying multiplatform-metabolomics to study the human metabolome following exposure to perturbations, such as diet (in the form of a challenge meal) and exhaust emissions (air pollution exposure in a controlled setting). The cutting-edge analytical platforms used for this purpose were nuclear magnetic resonance (NMR), as well as gas chromatography (GC) and liquid chromatography (LC) coupled to mass spectrometry (MS). Each platform offered unique characterization features, allowing detection and identification of a specific range of metabolites. The use of multiplatform-metabolomics was found to enhance the metabolome coverage and to provide complementary findings that enabled a better understanding of the biochemical processes reflected by the metabolite profiles. Using non-targeted analysis, a wide range of unknown metabolites in plasma were identified during the postprandial stage after a well-defined challenge meal (in Paper I). In addition, a considerable number of metabolites were detected and identified in lung lavage fluid after biodiesel exhaust exposure compared to filtered air exposure (in Paper II). In parallel, using targeted analysis, both lung lavage and plasma fatty acid metabolites were detected and quantified in response to filtered air and biodiesel exhaust exposure (in Paper III and IV).Data processing of raw data followed by data analysis, using both univariate and multivariate methods, enabled changes occurring in metabolites levels to be screened and investigated. For the initial pilot postprandial study, the aim was to investigate the plasma metabolome response after a well-defined meal during the postprandial stage for two types of diet. It was found that independent of the background diet type, levels of metabolites returned to their baseline levels after three hours. This finding was taken into consideration for the biodiesel exhaust exposures studies, designed to limit the impact of dietary effects. Both targeted and non-targeted approaches resulted in important findings. For instance, different metabolite profiles were detected in bronchial wash (BW) compared to bronchoalveolar lavage (BAL) fluid with mainly NMR and LC-MS. Furthermore, biodiesel exhaust exposure resulted in different metabolite profiles as observed by GC-MS, especially in BAL. In addition, fatty acid metabolites in BW, BAL, and plasma were shown to be responsive to biodiesel exhaust exposure, as measured by a targeted LC-MS/MS protocol. In summary, the new analytical methods developed to investigate the responsiveness of the human plasma and lung lavage metabolome proved to be useful in an analytical perspective, and provided important biological findings. However, further studies are needed to validate these results.
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| 7. |
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Människan i medicinen : En utställning om medicinsk humaniora
- 2019
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Konstnärligt arbeteabstract
- Vad händer med människors bild av sig själva och sin kropp när de blir del av en medicinsk verksamhet? Hur ändras synen på människan genom medicinsk utveckling? Och vilka föreställningar om människor styr vården och dess organisation?Medicinsk humaniora och samhällsvetenskap är ett tvärvetenskapligt forskningsfält som studerar komplexa relationer mellan hälsa, sjukdom, medicinsk utveckling och kultur. Ämnet kan förse kliniskt verksamma och studenter inom medicin- och vårdutbildningar med nya perspektiv på centrala frågor kring människors hälsa eller vårdens vardag – frågor som inte alltid får utrymme i en tid där vården tvingas till effektivisering och medicinsk utveckling sker i allt snabbare takt.Människan i medicinen lyfter fram några aktuella forskningsprojekt vid Linköpings universitet, avslutade såväl som nystartade.
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| 8. |
- Bågander, Linnea, et al.
(författare)
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Enabling (e)motion
- 2020
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Ingår i: Dance Articulated. ; 6:1, s. 25-44
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Tidskriftsartikel (refereegranskat)abstract
- This article discusses a practical exploration of the ability of a textile to meet with and affect bodies. It builds on the inherent ability of textiles, particularly in the form of a garment, to evoke movements and emotions. This paper suggests a shift in focus of the design of bodily materiality, towards an expression emerging from interactions connecting materiality and performativity. The findings are the result of 2.5 years of exploration, during which four performances, ten workshops, and four exhibitions were performed. The entwined parameters of expressing and informing are applied as a material choreographic thinking, which in this case results in a material choreography of openness, where expressing and informing are essential as entwined design parameters in the design of body-material interactions. The material choreography is developed as a method for addressing somatic experience, with improvements in terms of wellbeing and presence as aesthetic goals, focusing on reducing movements and emotions relating to stress for people suffering from chronic fatigue syndrome.
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| 9. |
- Granmo, Tobias, 1972, et al.
(författare)
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Seminarie serien "Sinnenas musik"-en doft av toner
- 2017
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Ingår i: Jonsereds Herrgård 23 februari 2017.
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Konstnärligt arbete (övrigt vetenskapligt/konstnärligt)abstract
- Hur luktar musik? Vilka aromatiska associationer väcker en visa eller en schlager som man hörde i sin barndom när man många år sedan lyssnar på den? Vid det tredje Jonseredsseminariet i serien Sinnnas musik är det mot doften uppmärksamheten riktas. Vad betyder den för en musikalisk upplevelse? Kan man med hjälp av doftminnet lära sig en sång eller ett pianostycke? Duo Granmo/Berg utforskar begreppet doft utifrån det musikaliska perspektivet tillsammans med doftforskaren Mats Bender, Professor Emeritus samt diskuterar och samtalar med en inbjuden skara specialister från olika områden.
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| 10. |
- Kelati, Amleset, et al.
(författare)
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Real-Time Classification of Pain Level Using Zygomaticus and Corrugator EMG Features
- 2022
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Ingår i: Electronics. - : MDPI AG. - 2079-9292. ; 11:11, s. 1671-1671
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Tidskriftsartikel (refereegranskat)abstract
- The real-time recognition of pain level is required to perform an accurate pain assessment of patients in the intensive care unit, infants, and other subjects who may not be able to communicate verbally or even express the sensation of pain. Facial expression is a key pain-related behavior that may unlock the answer to an objective pain measurement tool. In this work, a machine learning-based pain level classification system using data collected from facial electromyograms (EMG) is presented. The dataset was acquired from part of the BioVid Heat Pain database to evaluate facial expression from an EMG corrugator and EMG zygomaticus and an EMG signal processing and data analysis flow is adapted for continuous pain estimation. The extracted pain-associated facial electromyography (fEMG) features classification is performed by K-nearest neighbor (KNN) by choosing the value of k which depends on the nonlinear models. The presentation of the accuracy estimation is performed, and considerable growth in classification accuracy is noticed when the subject matter from the features is omitted from the analysis. The ML algorithm for the classification of the amount of pain experienced by patients could deliver valuable evidence for health care providers and aid treatment assessment. The proposed classification algorithm has achieved a 99.4% accuracy for classifying the pain tolerance level from the baseline (P0 versus P4) without the influence of a subject bias. Moreover, the result on the classification accuracy clearly shows the relevance of the proposed approac
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