17 research outputs found
Prospective study comparing skin impedance with EEG parameters during the induction of anaesthesia with fentanyl and etomidate
<p>Abstract</p> <p>Objective</p> <p>Sympathetic stimulation leads to a change in electrical skin impedance. So far it is unclear whether this effect can be used to measure the effects of anaesthetics during general anaesthesia. The aim of this prospective study is to determine the electrical skin impedance during induction of anaesthesia for coronary artery bypass surgery with fentanyl and etomidate.</p> <p>Methods</p> <p>The electrical skin impedance was measured with the help of an electro-sympathicograph (ESG). In 47 patients scheduled for elective cardiac surgery, anaesthesia was induced with intravenous fentanyl 10 μg/kg and etomidate 0.3 mg/kg. During induction, the ESG (Electrosympathicograph), BIS (Bispectral IndeX), BP (arterial blood pressure) and HR (heart rate) values of each patient were recorded every 20 seconds. The observation period from administration of fentanyl to intubation for surgery lasted 4 min.</p> <p>Results</p> <p>The ESG recorded significant changes in the electrical skin impedance after administration of fentanyl and etomidate(p < 0.05). During induction of anaesthesia, significant changes of BIS, HR and blood pressure were observed as well (p < 0.05).</p> <p>Conclusions</p> <p>The electrical skin impedance measurement may be used to monitor the effects of anesthetics during general anaesthesia.</p
Skin conductance or entropy for detection of non-noxious stimulation during different clinical levels of sedation
Comparison of skin conductance with entropy during intubation, tetanic stimulation and emergence from general anaesthesia
Palmar skin conductance compared to a developed stress score and to noxious and awakening stimuli on patients in anaesthesia
Spinal neurons exhibit a surprising capacity to learn and a hidden vulnerability when freed from the brain’s control
Archaeological geophysical survey of a Prehistoric Bronze Age site in Cyprus (Alambra Mouttes)—applications and limitations
The University of Queensland Alambra Archaeological Mission (UQAAM) conducted a program of geophysical survey and archaeological excavation over four seasons from 2012 to 2016. This program has allowed this study to compile a large array of geophysical data, which has been tested against actual excavation results. By integrating the two forms of archaeological investigation, the UQAAM has been able to identify geophysical ‘signatures’ diagnostic and indicative of internal architectural features relating to the Cypriot Prehistoric Bronze Age (c2400–1750BC). This is the first time internal features have been identified using these techniques on a Middle Bronze Age site in Cyprus. The program has also identified two, and possibly four, areas of domestic settlement. This has yielded results that are of considerable value to cultural heritage managers of the site, which is experiencing development pressures. While identifying several constraints with the geophysical survey for the Prehistoric Bronze Age in Cyprus, the program has demonstrated the efficacy of a combined geophysical survey and excavation approach to sites of the Early-Middle Bronze Age period.No Full Tex
The newborn infant parasympathetic evaluation index for acute procedural pain assessment in preterm infants
Acute pain intensity monitoring with the classification of multiple physiological parameters.
Current acute pain intensity assessment tools are mainly based on self-reporting by patients, which is impractical for non-communicative, sedated or critically ill patients. In previous studies, various physiological signals have been observed qualitatively as a potential pain intensity index. On the basis of that, this study aims at developing a continuous pain monitoring method with the classification of multiple physiological parameters. Heart rate (HR), breath rate (BR), galvanic skin response (GSR) and facial surface electromyogram were collected from 30 healthy volunteers under thermal and electrical pain stimuli. The collected samples were labelled as no pain, mild pain or moderate/severe pain based on a self-reported visual analogue scale. The patterns of these three classes were first observed from the distribution of the 13 processed physiological parameters. Then, artificial neural network classifiers were trained, validated and tested with the physiological parameters. The average classification accuracy was 70.6%. The same method was applied to the medians of each class in each test and accuracy was improved to 83.3%. With facial electromyogram, the adaptivity of this method to a new subject was improved as the recognition accuracy of moderate/severe pain in leave-one-subject-out cross-validation was promoted from 74.9 ± 21.0 to 76.3 ± 18.1%. Among healthy volunteers, GSR, HR and BR were better correlated to pain intensity variations than facial muscle activities. The classification of multiple accessible physiological parameters can potentially provide a way to differentiate among no, mild and moderate/severe acute experimental pain
