Gotowa bibliografia na temat „Pain detection”
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Artykuły w czasopismach na temat "Pain detection"
FUJIMASA, I. "Pain Detection and its Treatment". JAPANES JOURNAL OF MEDICAL INSTRUMENTATION 55, nr 9 (1.09.1985): 476–79. http://dx.doi.org/10.4286/ikakikaigaku.55.9_476.
Pełny tekst źródłaAlazrai, Rami, Saifaldeen AL-Rawi, Hisham Alwanni i Mohammad I. Daoud. "Tonic Cold Pain Detection Using Choi–Williams Time-Frequency Distribution Analysis of EEG Signals: A Feasibility Study". Applied Sciences 9, nr 16 (20.08.2019): 3433. http://dx.doi.org/10.3390/app9163433.
Pełny tekst źródłaSiqueira, Silvia R. D. T. de, Mariana Siviero, Fábio K. Alvarez, Manoel J. Teixeira i José T. T. de Siqueira. "Quantitative sensory testing in trigeminal traumatic neuropathic pain and persistent idiopathic facial pain". Arquivos de Neuro-Psiquiatria 71, nr 3 (marzec 2013): 174–79. http://dx.doi.org/10.1590/s0004-282x2013000300009.
Pełny tekst źródłaOstermeyer, Georg Peter, i Frank Schiefer. "On Pain Detection in Multibody Systems". Applied Mechanics and Materials 9 (październik 2007): 115–26. http://dx.doi.org/10.4028/www.scientific.net/amm.9.115.
Pełny tekst źródłaMills, Daniel, i Lauren Finka. "Early detection of pain in cats". Veterinary Record 178, nr 18 (28.04.2016): 456. http://dx.doi.org/10.1136/vr.i2429.
Pełny tekst źródłaAasvang, Eske K., Bo Møhl i Henrik Kehlet. "Ejaculatory Pain". Anesthesiology 107, nr 2 (1.08.2007): 298–304. http://dx.doi.org/10.1097/01.anes.0000270736.28324.61.
Pełny tekst źródłaSriraam, N., i S. Tejaswini. "Infant Cry Detection and Pain Scale Assessment". International Journal of Biomedical and Clinical Engineering 3, nr 1 (styczeń 2014): 42–51. http://dx.doi.org/10.4018/ijbce.2014010104.
Pełny tekst źródłaWooley, Charles F., Elizabeth H. Sparkas i Harisios Boudoulas. "Aortic pain: The renaissance of cardiovascular pain and the detection of aortopathy". Herz 24, nr 2 (kwiecień 1999): 140–53. http://dx.doi.org/10.1007/bf03043853.
Pełny tekst źródłaGrothusen, John R. "Thermal Pain in Complex Regional Pain Syndrome Type I". Pain Physician 17;1, nr 1;17 (14.01.2014): 71–79. http://dx.doi.org/10.36076/ppj.2014/17/71.
Pełny tekst źródłaIqbal, Syma, James Walcott i Stephen Chan. "Acute Myelomonocytic Leukemia Presenting as Perianal Pain". Case Reports in Surgery 2018 (27.11.2018): 1–4. http://dx.doi.org/10.1155/2018/2151492.
Pełny tekst źródłaRozprawy doktorskie na temat "Pain detection"
Mahon, Mary L. "Pain perception in chronic pain patients : a signal detection analysis". Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/31127.
Pełny tekst źródłaArts, Faculty of
Psychology, Department of
Graduate
Lloyd, Emily Paige. "Race Deficits in Pain Authenticity Detection". Miami University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=miami1531912112953475.
Pełny tekst źródłaMettam, Jessica Jane. "The Detection and Alleviation of Pain in Fish". Thesis, University of Liverpool, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526925.
Pełny tekst źródłaMiller, Amy Louise. "Detection and alleviation of pain and distress in laboratory rodents". Thesis, University of Newcastle Upon Tyne, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.519633.
Pełny tekst źródłaTan, Chee-Wee. "Signal detection theory in the study of nociceptive and pain perception processes". Thesis, Queen Margaret University, 2008. https://eresearch.qmu.ac.uk/handle/20.500.12289/7409.
Pełny tekst źródłaGoldsby, Tamara L. "Intuition, openness to experience, and other personality correlates of pain-faking detection ability". Thesis, University of Surrey, 2008. http://epubs.surrey.ac.uk/844380/.
Pełny tekst źródłaOgawa, Nozomi. "Detection of cellular redox status by transient receptor potential channels". 京都大学 (Kyoto University), 2016. http://hdl.handle.net/2433/215577.
Pełny tekst źródłaSinha, Manas Kumar. "Ischemia modified albumin for the detection of myocardial ischaemia in acute coronary syndromes and chest pain syndromes". Thesis, St George's, University of London, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.406680.
Pełny tekst źródłaDoyle, Jason Emory. "Automatic Dynamic Tracking of Horse Head Facial Features in Video Using Image Processing Techniques". Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/87582.
Pełny tekst źródłaMS
Chew, Sien Wei. "Recognising facial expressions with noisy data". Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/63523/1/Sien_Wei_Chew_Thesis.pdf.
Pełny tekst źródłaKsiążki na temat "Pain detection"
Lehmann, Wilhelm. Kriteriumsbildung und Reizdiskrimination in der Schmerzwahrnehmung: Eine Signal-Detection-Analyse. Pfaffenweiler: Centaurus-Verlagsgesellschaft, 1987.
Znajdź pełny tekst źródłaBVA Animal Welfare Foundation Symposium (2nd 1985 [London]). Detection and relief of pain in animals: Proceedings of the 2nd Animal Welfare Foundation Symposium, held 16th April, 1985. Redaktorzy Gibson T. E, Paterson D. A i British Veterinary association. London: BVA Animal Welfare Foundation, 1985.
Znajdź pełny tekst źródłaThe pain scale. Las Vegas, NV: Thomas & Mercer, 2012.
Znajdź pełny tekst źródłaStahl, Jerry. Pain Killers. New York: HarperCollins, 2009.
Znajdź pełny tekst źródłaPain killers. New York, NY: William Morrow, 2009.
Znajdź pełny tekst źródłaThe pain detective: Every ache tells a story : understanding how stress and emotional hurt become chronic physical pain. Santa Barbara, Calif: Praeger, 2009.
Znajdź pełny tekst źródłaPain management. New York: Knopf, 2001.
Znajdź pełny tekst źródłaVachss, Andrew H. Pain Management. New York: Knopf Doubleday Publishing Group, 2001.
Znajdź pełny tekst źródłaTalton, Jon. The pain nurse. Scottsdale, AZ: Poisoned Pen Press, 2009.
Znajdź pełny tekst źródłaBowen, Rhys. A royal pain. New York, N.Y: Berkley Pub. Group., 2009.
Znajdź pełny tekst źródłaCzęści książek na temat "Pain detection"
Sullivan, Michael J. L., i Timothy H. Wideman. "Pain Catastrophizing and Fear of Movement: Detection and Intervention". W Clinical Pain Management, 207–14. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444329711.ch25.
Pełny tekst źródłaClark, W. Crawford. "Pain Measurement by Signal Detection Theory". W Sensory Systems: II, 89–91. Boston, MA: Birkhäuser Boston, 1988. http://dx.doi.org/10.1007/978-1-4684-6760-4_39.
Pełny tekst źródłaSubea, Oana, i George Suciu. "Facial Analysis Method for Pain Detection". W Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 167–80. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23976-3_17.
Pełny tekst źródłaBaloh, Robert W. "Nerves and the Detection and Perception of Pain". W Sciatica and Chronic Pain, 5–18. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93904-9_2.
Pełny tekst źródłaLundtoft, Dennis H., Kamal Nasrollahi, Thomas B. Moeslund i Sergio Escalera. "Spatiotemporal Facial Super-Pixels for Pain Detection". W Articulated Motion and Deformable Objects, 34–43. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41778-3_4.
Pełny tekst źródłaSen, Kausik, Srejita Chakraborty i Saurabh Pal. "Pain-Level Detection Using Heart Rate Variability". W Lecture Notes in Electrical Engineering, 185–99. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6855-8_15.
Pełny tekst źródłaYoung, Justin M., i Stephen Thaddeus Connelly. "Pain Associated with Head and Neck Cancers". W Early Detection and Treatment of Head & Neck Cancers, 185–97. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69852-2_8.
Pełny tekst źródłaShi, Heng, Belkacem Chikhaoui i Shengrui Wang. "Tree-Based Models for Pain Detection from Biomedical Signals". W Lecture Notes in Computer Science, 183–95. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09593-1_14.
Pełny tekst źródłaYoung, Gerald. "An Instrument to Detect Pain Feigning: The Pain Feigning Detection Test (PFDT)". W Malingering, Feigning, and Response Bias in Psychiatric/ Psychological Injury, 471–509. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7899-3_19.
Pełny tekst źródłaPikulkaew, Kornprom, Ekkarat Boonchieng, Waraporn Boonchieng i Varin Chouvatut. "Pain Detection Using Deep Learning with Evaluation System". W Proceedings of Fifth International Congress on Information and Communication Technology, 426–35. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5859-7_42.
Pełny tekst źródłaStreszczenia konferencji na temat "Pain detection"
Mansor, Muhammad Naufal, Syahryull Hi-Fi Syam Ahmad Jamil, Ahmad Kadri Junoh, Muhammad Nazri Rejab, Addzrull Hi-Fi Syam Ahmad Jamil i Jamaluddin Ahmad. "Fast infant pain detection method". W 2012 International Conference on Computer and Communication Engineering (ICCCE). IEEE, 2012. http://dx.doi.org/10.1109/iccce.2012.6271350.
Pełny tekst źródłaHammal, Zakia, i Jeffrey F. Cohn. "Automatic detection of pain intensity". W the 14th ACM international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2388676.2388688.
Pełny tekst źródłaP, Balaji, Akash Selvin S, R. Shoba i G. Lathaselvi. "Facial Pain Detection Using Deep Learning". W 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2023. http://dx.doi.org/10.1109/icses60034.2023.10465512.
Pełny tekst źródłaBlanco, D. A., i A. Diaz-Mendez. "Pain detection with EEG using Phase Indexes". W 2017 IEEE Healthcare Innovations and Point-of-Care Technologies (HI-POCT). IEEE, 2017. http://dx.doi.org/10.1109/hic.2017.8227581.
Pełny tekst źródłaKhan, Rizwan Ahmed, Alexandre Meyer, Hubert Konik i Saida Bouakaz. "Pain detection through shape and appearance features". W 2013 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2013. http://dx.doi.org/10.1109/icme.2013.6607608.
Pełny tekst źródłaMcwilliams, D. F., N. Frowd, L. Marshall, J. Stocks, A. Sarmanova, G. S. Fernandes, M. Hall i in. "THU0519 Prediction of persistent knee pain by pressure pain detection thresholds: results from the knee pain in the community cohort (KPIC)". W Annual European Congress of Rheumatology, EULAR 2018, Amsterdam, 13–16 June 2018. BMJ Publishing Group Ltd and European League Against Rheumatism, 2018. http://dx.doi.org/10.1136/annrheumdis-2018-eular.4547.
Pełny tekst źródłaSemwal, Ashish, i Narendra D. Londhe. "Automated Pain Severity Detection Using Convolutional Neural Network". W 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS). IEEE, 2018. http://dx.doi.org/10.1109/ctems.2018.8769123.
Pełny tekst źródłaKong, Youngsun, Hugo F. Posada-Quintero i Ki H. Chon. "Pain Detection using a Smartphone in Real Time*". W 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society. IEEE, 2020. http://dx.doi.org/10.1109/embc44109.2020.9176077.
Pełny tekst źródłaMeawad, Fatma, Su-Yin Yang i Fong Ling Loy. "Automatic detection of pain from spontaneous facial expressions". W ICMI '17: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3136755.3136794.
Pełny tekst źródłaNerella, Subhash, Julie Cupka, Matthew Ruppert, Patrick Tighe, Azra Bihorac i Parisa Rashidi. "Pain Action Unit Detection in Critically Ill Patients". W 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2021. http://dx.doi.org/10.1109/compsac51774.2021.00094.
Pełny tekst źródłaRaporty organizacyjne na temat "Pain detection"
Fitzpatrick, Gerald, i Richard Skaugset. Detection of Corrosion Under Paint Using Magneto-Optic Imaging. Fort Belvoir, VA: Defense Technical Information Center, luty 1998. http://dx.doi.org/10.21236/adb233601.
Pełny tekst źródłaArkko, J., i I. van Beijnum. Failure Detection and Locator Pair Exploration Protocol for IPv6 Multihoming. RFC Editor, czerwiec 2009. http://dx.doi.org/10.17487/rfc5534.
Pełny tekst źródłaRimberg, Alexander. Ultrasensitive Charge Detection Using a Cavity Embedded Single Cooper Pair Transistor. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2014. http://dx.doi.org/10.21236/ada608157.
Pełny tekst źródłaMcKnight, Mary E., i W. Eric Byrd. Screening procedures for detecting lead in existing paint films:. Gaithersburg, MD: National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.ir.89-4044.
Pełny tekst źródłaRossiter, Walter J. Jr, Mark G. Vangel, Mary E. McKnight i Gary Dewalt. Spot test kits for detecting lead in household paint:. Gaithersburg, MD: National Institute of Standards and Technology, 2000. http://dx.doi.org/10.6028/nist.ir.6398.
Pełny tekst źródłaByrd, W. Eric, i Mary E. McKnight. Potential methods for measuring and detecting lead in existing paint films:. Gaithersburg, MD: National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.ir.89-4205.
Pełny tekst źródłaGlasscott, Matthew, Johanna Jernberg, Erik Alberts i Lee Moores. Toward the electrochemical detection of 2,4-dinitroanisole (DNAN) and pentaerythritol tetranitrate (PETN). Engineer Research and Development Center (U.S.), marzec 2022. http://dx.doi.org/10.21079/11681/43826.
Pełny tekst źródłaTecker-Shreyber, Irina. Radiative Top-Quark Pair Production with the CDF Detector at the Tevatron. Office of Scientific and Technical Information (OSTI), styczeń 2009. http://dx.doi.org/10.2172/1343952.
Pełny tekst źródłaMunger, Charles T. Proposal for the Detection of Relativistic Anti-Hydrogen Atoms Produced by Pair Production with Positron Capture. Office of Scientific and Technical Information (OSTI), lipiec 2003. http://dx.doi.org/10.2172/813309.
Pełny tekst źródłaWang, Zhongmin. Search for chargino-neutralino pair production with the D0 detector at the Tevatron. Office of Scientific and Technical Information (OSTI), maj 2004. http://dx.doi.org/10.2172/875576.
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