| 1. |
- Brown, Shannon, et al.
(författare)
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Intarsia-sensorized band and textrodes for real-time myoelectric pattern recognition
- 2016
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Ingår i: Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the. - : Institute of Electrical and Electronics Engineers (IEEE). - 1557-170X. - 9781457702204 ; , s. 6074-6077
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Konferensbidrag (refereegranskat)abstract
- Surface Electromyography (sEMG) has applications in prosthetics, diagnostics and neuromuscular rehabilitation. Self-adhesive Ag/AgCl are the electrodes preferentially used to capture sEMG in short-term studies, however their long-term application is limited. In this study we designed and evaluated a fully integrated smart textile band with electrical connecting tracks knitted with intarsia techniques and knitted textile electrodes. Real-time myoelectric pattern recognition for motor volition and signal-to-noise ratio (SNR) were used to compare its sensing performance versus the conventional Ag-AgCl electrodes. After a comprehending measurement and performance comparison of the sEMG recordings, no significant differences were found between the textile and the Ag-AgCl electrodes in SNR and prediction accuracy obtained from pattern recognition classifiers.
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| 2. |
- Hafid, Abdelakram, et al.
(författare)
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Full Impedance Cardiography Measurement Device Using Raspberry PI3 and System-on-Chip Biomedical Instrumentation Solutions
- 2018
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Ingår i: IEEE journal of biomedical and health informatics. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 2168-2194 .- 2168-2208. ; 22:6, s. 1883-1894
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Tidskriftsartikel (refereegranskat)abstract
- Impedance cardiography (ICG) is a noninvasive method for monitoring cardiac dynamics using electrical bioimpedance (EBI) measurements. Since its appearance more than 40 years ago, ICG has been used for assessing hemodynamic parameters. This paper presents a measurement system based on two System on Chip (SoC) solutions and Raspberry PI, implementing both a full three-lead ECG recorder and an impedance cardiographer, for educational and research development purposes. Raspberry PI is a platform supporting Do-I t-Yourself project and education applications across the world. The development is part of Biosignal PI, an open hardware platform focusing in quick prototyping of physiological measurement instrumentation. The SoC used for sensing cardiac biopotential is the ADAS1000, and for the EBI measurement is the AD5933. The recordings were wirelessly transmitted through Bluetooth to a PC, where the waveforms were displayed, and hemodynamic parameters such as heart rate, stroke volume, ejection time and cardiac output were extracted from the ICG and ECG recordings. These results show how Raspberry PI can be used for quick prototyping using relatively widely available and affordable components, for supporting developers in research and engineering education. The design and development documents will be available on www.BiosignalPl.com, for open access under a Non Commercial-Share A like 4.0 International License.
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| 3. |
- Seoane, Fernando, 1976-, et al.
(författare)
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Textile-Friendly Interconnection between Wearable Measurement Instrumentation and Sensorized Garments-Initial Performance Evaluation for Electrocardiogram Recordings.
- 2019
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Ingår i: Sensors. - : MDPI AG. - 1424-8220. ; 19:20
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Tidskriftsartikel (refereegranskat)abstract
- The interconnection between hard electronics and soft textiles remains a noteworthy challenge in regard to the mass production of textile-electronic integrated products such as sensorized garments. The current solutions for this challenge usually have problems with size, flexibility, cost, or complexity of assembly. In this paper, we present a solution with a stretchable and conductive carbon nanotube (CNT)-based paste for screen printing on a textile substrate to produce interconnectors between electronic instrumentation and a sensorized garment. The prototype connectors were evaluated via electrocardiogram (ECG) recordings using a sensorized textile with integrated textile electrodes. The ECG recordings obtained using the connectors were evaluated for signal quality and heart rate detection performance in comparison to ECG recordings obtained with standard pre-gelled Ag/AgCl electrodes and direct cable connection to the ECG amplifier. The results suggest that the ECG recordings obtained with the CNT paste connector are of equivalent quality to those recorded using a silver paste connector or a direct cable and are suitable for the purpose of heart rate detection.
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| 4. |
- Capece, Sabrina, et al.
(författare)
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A general strategy for obtaining biodegradable polymer shelled microbubbles as theranostic devices
- 2013
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Ingår i: Chemical Communications. - 1359-7345 .- 1364-548X. ; 49:51, s. 5763-5765
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Tidskriftsartikel (refereegranskat)abstract
- Fabrication of multifunctional ultrasound contrast agents (UCAs) has been recently addressed by several research groups. A versatile strategy for the synthesis of UCA precursors in the form of biodegradable vesicles with a biocompatible crosslinked polymer shell is described. Upon ultrasound irradiation, acoustic droplet vaporization transforms such particles into microbubbles behaving as UCAs. This proof of concept entails the features of a potential theranostic microdevice.
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| 5. |
- Fan, Xuelong, et al.
(författare)
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Effects of sensor types and angular velocity computational methods in field measurements of occupational upper arm and trunk postures and movements
- 2021
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Ingår i: Sensors. - : MDPI AG. - 1424-8220. ; 21:16
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Tidskriftsartikel (refereegranskat)abstract
- Accelerometer-based inclinometers have dominated kinematic measurements in previous field studies, while the use of inertial measurement units that additionally include gyroscopes is rapidly increasing. Recent laboratory studies suggest that these two sensor types and the two commonly used angular velocity computational methods may produce substantially different results. The aim of this study was, therefore, to evaluate the effects of sensor types and angular velocity computational methods on the measures of work postures and movements in a real occupational setting. Half-workday recordings of arm and trunk postures, and movements from 38 warehouse workers were compared using two sensor types: accelerometers versus accelerometers with gyroscopes—and using two angular velocity computational methods, i.e., inclination velocity versus generalized velocity. The results showed an overall small difference (<2° and value independent) for posture percentiles between the two sensor types, but substantial differences in movement percentiles both between the sensor types and between the angular computational methods. For example, the group mean of the 50th percentiles were for accelerometers: 71°/s (generalized velocity) and 33°/s (inclination velocity)—and for accelerometers with gyroscopes: 31°/s (generalized velocity) and 16°/s (inclination velocity). The significant effects of sensor types and angular computational methods on angular velocity measures in field work are important in inter-study comparisons and in comparisons to recommended threshold limit values.
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| 6. |
- Forsman, Mikael, Professor, et al.
(författare)
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Mind the gap – development of conversion models between accelerometer- and IMU-based measurements of arm and trunk postures and movements in warehouse work
- 2022
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Ingår i: Applied Ergonomics. - : Elsevier BV. - 0003-6870 .- 1872-9126. ; 105
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Tidskriftsartikel (refereegranskat)abstract
- Sensor type (accelerometers only versus inertial measurement units, IMUs) and angular velocity computational method (inclination versus generalized velocity) have been shown to affect the measurements of arm and trunk movements. This study developed models for conversions between accelerometer and IMU measurements of arm and trunk inclination and between accelerometer and IMU measurements of inclination and generalized (arm) velocities. Full-workday recordings from accelerometers and IMUs of arm and trunk postures and movements from 38 warehouse workers were used to develop 4 angular (posture) and 24 angular velocity (movement) conversion models for the distributions of the data. A power function with one coefficient and one exponent was used, and it correlated well (r2 > 0.999) in all cases to the average curves comparing one measurement with another. These conversion models facilitate the comparison and merging of measurements of arm and trunk movements collected using the two sensor types and the two computational methods.
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| 7. |
- Loskutova, Ksenia
(författare)
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Perfluorocarbon microdroplets stabilized by cellulose nanofibers : Toward ultrasound-mediated diagnostics and therapy
- 2023
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Ultrasound contrast agents consist of gas-filled micrometer-sized bubbles that are injectedinto the blood stream. Ultrasound contrast agents are an invaluable tool for ultrasound imaging of the cardiac muscle and highly vascularized structures such as kidneys and the liver. The ability of gas-filled microbubbles to enhance contrast in ultrasound imaging comes from their increased scattering ability due to significantly lower compressibility compared to surrounding soft tissues.The discovery of acoustic droplet vaporization, the phase-transition of liquid-filleddroplets into gas-filled microbubbles upon ultrasound exposure, has expanded the potential utility of ultrasound-mediated diagnostics and therapy to include applications such as gas embolization, histotripsy, and localized drug delivery. Multiple requirements are put onto both gas-filled microbubbles and phase-change contrast agents: they have to be non-toxic, acoustically active at clinically relevant pressure amplitudes, and their dynamic behavior has to be predictable to maximize the therapeutic or diagnostic effect while minimizing mechanical damage to surrounding healthy tissue. Novel designs of phase-change contrast agents that are able to undergo acoustic droplet vaporization could enable improved in vivo stability compared to conventional gas-filled ultrasound contrast agents.Pickering emulsions, with solid particles used as stabilizing agents instead of surfactants, have an increased stability compared to conventional emulsions. Cellulose-based Pickering emulsions in particular have previously been investigated for biomedical applications. Cellulose is a suitable material in biomedical applications as it originates from renewable sources, is biocompatible, and the surface can be easily modified. To the author’s current knowledge, cellulose-based Pickering emulsions have not previously been investigated for ultrasound-mediated applications. It is necessary to know the mechanical and acoustic properties of novel formulations and their impact on biological cells for their translation into in vivo research and future clinical use.In this thesis, the acoustic, mechanical, and biological properties of cellulose nanofiber(CNF)-shelled perfluoropentane (PFP) droplets, a type of Pickering emulsion, were investigated for ultrasound-mediated medical applications. Firstly, the current state-of-the-art and development of phase-change contrast agents, the mechanism behind acoustic droplet vaporization, and potential ultrasound-mediated medical applications were investigated. Secondly, a theoretical model that would describe and predict the acoustic response of CNF-shelled PFP droplets undergoing acoustic droplet vaporization was developed. Thirdly, the compressibility of CNF-shelled PFP droplets using an acoustophoretic setup was measured. Later, the effect of the geometry of the surrounding medium and acoustic parameters on the acoustic response of CNF-shelled PFP droplets was explored. Finally, the biocompatibility of CNF-shelled PFP droplets cells was investigated through a hemolysis assay and measurement of change in cell viability of breast cancer cells.The CNF shell has a significant impact on the predicted resonance behavior and compressibility of CNF-shelled PFP droplets, as it has significantly larger bulk and Young’s modulus than previously reported shell materials. The predicted linear resonance behavior was in the upper range of medical ultrasound (5-8 MHz), making harmonic imaging at optimal conditions difficult. However, it was demonstrated that CNF-shelled PFP droplets could be imaged using a nonlinear ultrasound imaging sequence at a frequency regularly used in clinics. Thus, CNF-shelled PFP droplets were able to undergo acoustic droplet vaporization at clinically relevant conditions. The peak negative pressure of the incident acoustic wave had a significant impact on the acoustic response of CNF-shelled PFP droplets, as higher acoustic pressure amplitudes resulted in a more disruptive behavior. Finally, CNF-shelled PFP droplets did not influence the cell viability of breast cancer cells. This was true regardless of whether or not a non-encapsulated cytotoxic drug with a known impact on cell viability was present. In summary, the results of this work showed that CNF-shelled PFP droplets are biocompatible and acoustically active at clinically relevant conditions, which shows that cellulose-based Pickering emulsions have potential in ultrasound-mediated diagnostics and therapy.
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| 8. |
- Löfhede, Johan, 1978, et al.
(författare)
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Automatic classification of background EEG activity in healthy and sick neonates
- 2010
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Ingår i: Journal of Neural Engineering. - : IOP Publishing. - 1741-2560 .- 1741-2552. ; 7:1
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Tidskriftsartikel (refereegranskat)abstract
- The overall aim of our research is to develop methods for a monitoring system to be used at neonatal intensive care units. When monitoring a baby, a range of different types of background activity needs to be considered. In this work, we have developed a scheme for automatic classification of background EEG activity in newborn babies. EEG from six full-term babies who were displaying a burst suppression pattern while suffering from the after-effects of asphyxia during birth was included along with EEG from 20 full-term healthy newborn babies. The signals from the healthy babies were divided into four behavioural states: active awake, quiet awake, active sleep and quiet sleep. By using a number of features extracted from the EEG together with Fisher’s linear discriminant classifier we have managed to achieve 100% correct classification when separating burst suppression EEG from all four healthy EEG types and 93% true positive classification when separating quiet sleep from the other types. The other three sleep stages could not be classified. When the pathological burst suppression pattern was detected, the analysis was taken one step further and the signal was segmented into burst and suppression, allowing clinically relevant parameters such as suppression length and burst suppression ratio to be calculated. The segmentation of the burst suppression EEG works well, with a probability of error around 4%.
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| 9. |
- Seoane, Fernando, 1976-, et al.
(författare)
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Electrical Bioimpedance Cerebral Monitoring : A Study of the Current Density Distribution and Impedance Sensitivity Maps on a 3D Realistic Head Model
- 2007
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Ingår i: Proceedings of the 3rd IEEE-EMBS International Conference on Neural Engineering. - : IEEE. - 1424407923 ; , s. 256 - 260
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Konferensbidrag (refereegranskat)abstract
- There have been several studies of the application of electrical bioimpedance technology for brain monitoring in the past years. They have targeted a variety of events and injuries e.g. epilepsy or stroke. The current density distribution and the voltage lead field associated with an impedance measurement setup is of critical importance for the proper analysis of any dynamics in the impedance measurement or for an accurate reconstruction of an EIT image, specially a dynamic type. In this work for the first time, the current density distribution is calculated in a human head with anatomical accuracy and resolution down to 1 mm, containing up to 24 tissues and considering the frequency dependency of the conductivity of each tissue. The obtained current densities and the subsequent sensitivity maps are analyzed with a special focus on the dependency of the electrode arrangement and also the measurement frequency. The obtained results provide us with interesting and relevant information to consider in the design of any tool for electrical bioimpedance cerebral monitoring.
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| 10. |
- Seoane, Fernando, et al.
(författare)
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Mean Expected Error in Prediction of Total Body Water: A True Accuracy Comparison between Bioimpedance Spectroscopy and Single Frequency Regression Equations
- 2015
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Ingår i: Biomed Research International. - : Hindawi Limited. - 2314-6133 .- 2314-6141. ; 2015:Article ID 656323
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Tidskriftsartikel (refereegranskat)abstract
- For several decades electrical bioimpedance (EBI) has been used to assess body fluid distribution and body composition. Despite the development of several different approaches for assessing total body water (TBW), it remains uncertain whether bioimpedance spectroscopic (BIS) approaches are more accurate than single frequency regression equations. The main objective of this study was to answer this question by calculating the expected accuracy of a single measurement for different EBI methods. The results of this study showed that all methods produced similarly high correlation and concordance coefficients, indicating good accuracy as a method. Even the limits of agreement produced from the Bland-Altman analysis indicated that the performance of single frequency, Sun's prediction equations, at population level was close to the performance of both BIS methods; however, when comparing the Mean Absolute Percentage Error value between the single frequency prediction equations and the BIS methods, a significant difference was obtained, indicating slightly better accuracy for the BIS methods. Despite the higher accuracy of BIS methods over 50 kHz prediction equations at both population and individual level, the magnitude of the improvement was small. Such slight improvement in accuracy of BIS methods is suggested insufficient to warrant their clinical use where the most accurate predictions of TBW are required, for example, when assessing over-fluidic status on dialysis. To reach expected errors below 4-5%, novel and individualized approaches must be developed to improve the accuracy of bioimpedance-based methods for the advent of innovative personalized health monitoring applications.
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