Search Results - interference pattern analysis

Impact of Pilot-Based Smart Jamming on OFDM-Based Communication Systems: BER Degradation and Interference Pattern Analysis

Authors: Jiawei Zhang Zhuo Sun Hao Ma et al.

Source: 2025 17th International Conference on Communication Software and Networks (ICCSN). :59-64

Augmented Intelligence‐Based Interference Pattern Analysis (AI‐IPA) in Concentric Needle Electromyography

Authors: Sanjeev D. Nandedkar Paul E. Barkhaus

Source: Muscle & Nerve. 71:620-631

Subject Terms: Male, Adult, Muscular Diseases, Electromyography, Artificial Intelligence, Needles, Humans, Female, Middle Aged, Muscle, Skeletal, Algorithms, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/39943744

Phase extraction and denoising through deep learning-based interference pattern analysis

Authors: Yannis Vezakis Michalis Andrianakis Vivi Tornari

Source: Multimodal Sensing and Artificial Intelligence for Sustainable Future. :52

Form factor analysis of the surface electromyographic interference pattern

Authors: Nandedkar, Sanjeev D. Barkhaus, Paul E. Stålberg, Erik

Source: Muscle and Nerve. 62(2):233-238

Subject Terms: amyotrophic lateral sclerosis, clustering index, form factor, interference pattern analysis, normal cloud, surface EMG

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-423714

Interference pattern analysis approach for sensory applications

Authors: Kuznetsov, Igor Perin, Anton

Subject Terms: interference pattern, electro-optic sensor, Mach-Zehnder interferometer, интерференционные картины, интерферометр Маха-Цендера, электрооптический сенсор

The use of electromyography interference pattern analysis to determine muscle force of the deep digital flexor muscle in healthy and laminitic horses

Authors: Wijnberg, I.D. Hardeman, L C van der Meij, B R et al.

Contributors: Wijnberg, I.D. Hardeman, L C van der Meij, B R et al.

Source: Veterinary Quarterly. 36:10-15

Subject Terms: electromyography, Electromyography, 04 agricultural and veterinary sciences, Horse, Biomechanical Phenomena, 3. Good health, Foot Diseases, 0403 veterinary science, SDG 3 - Good Health and Well-being, deep digital flexor muscle, Taverne, Forelimb, Animals, Horse Diseases, Horses, Muscle, Skeletal, laminitis, equine

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/26610153
https://research-portal.uu.nl/en/publications/d389c0d9-388b-4cbc-a2d5-71f6e874d0a0
https://doi.org/10.1080/01652176.2015.1106116
https://pubmed.ncbi.nlm.nih.gov/26610153/
https://dspace.library.uu.nl/handle/1874/341056
https://biblio.ugent.be/publication/7205879
https://www.tandfonline.com/doi/pdf/10.1080/01652176.2015.1106116
https://www.tandfonline.com/doi/full/10.1080/01652176.2015.1106116
https://core.ac.uk/display/33091943
https://dspace.library.uu.nl/handle/1874/341056

The utility of EMG interference pattern analysis in botulinum toxin treatment of torticollis: A randomised, controlled and blinded study

Authors: Werdelin, L Dalager, T Fuglsang-Frederiksen, Anders et al.

Source: Werdelin, L, Dalager, T, Fuglsang-Frederiksen, A, Regeur, L, Karlsborg, M, Korbo, L, Munck, O & Winge, K 2011, 'The utility of EMG interference pattern analysis in botulinum toxin treatment of torticollis: a randomised, controlled and blinded study', Clinical Neurophysiology, vol. 122, no. 11, pp. 2305-9. https://doi.org/10.1016/j.clinph.2011.04.012

Subject Terms: Adult, Male, Electromyography, Middle Aged, Evoked Potentials, Motor, Injections, Intramuscular, 3. Good health, 03 medical and health sciences, Treatment Outcome, 0302 clinical medicine, Neuromuscular Agents, Neck Muscles, Humans, Female, Single-Blind Method, Prospective Studies, Botulinum Toxins, Type A, Torticollis, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/21636319
https://www.sciencedirect.com/science/article/pii/S1388245711002690
https://www.ncbi.nlm.nih.gov/pubmed/21636319
http://europepmc.org/abstract/MED/21636319
http://www.sciencedirect.com/science/article/pii/S1388245711002690
https://pure.au.dk/portal/en/publications/c93f9740-65b9-4c81-9583-8987f355d8c0
https://doi.org/10.1016/j.clinph.2011.04.012

Electromyographic Interference Pattern Analysis

Authors: Taro Okitsu

Source: The Japanese Journal of Rehabilitation Medicine. 46:649-658

Subject Terms: 03 medical and health sciences, 0302 clinical medicine

Access URL: https://www.jstage.jst.go.jp/article/jjrmc/46/10/46_10_649/_pdf
http://ci.nii.ac.jp/naid/130000145888
https://www.jstage.jst.go.jp/article/jjrmc/46/10/46_10_649/_pdf
https://joi.jlc.jst.go.jp/JST.JSTAGE/jjrmc/46.649?from=CrossRef

Augmented Intelligence‐Based Interference Pattern Analysis (AI‐IPA) in Concentric Needle Electromyography.

Authors: Nandedkar, Sanjeev D. Barkhaus, Paul E.

Source: Muscle & Nerve; Apr2025, Vol. 71 Issue 4, p620-631, 12p

A Method of Amplitude Analysis of EMG Interference Pattern

Authors: Chengduan Qu Xiannong Chen Hongyan Cui et al.

Source: 2008 2nd International Conference on Bioinformatics and Biomedical Engineering. :697-701

Subject Terms: 03 medical and health sciences, 0302 clinical medicine

Access URL: https://ieeexplore.ieee.org/document/4535050/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004535050

Evaluation of chewing muscles in patients with Parkinson using electromyography-interference pattern analysis

Authors: Kucukkeles, Fatma Bolayir, Ertugrul [Kucukkeles, Fatma -- Bolayir, Ertugrul] Cumhuriyet Univ, Fac Med, Dept Neurol, Sivas, Turkey et al.

Contributors: Kucukkeles, Fatma Bolayir, Ertugrul [Kucukkeles, Fatma -- Bolayir, Ertugrul] Cumhuriyet Univ, Fac Med, Dept Neurol, Sivas, Turkey et al.

Subject Terms: Parkinson disease, interference pattern analysis, electromyography

Access URL: https://hdl.handle.net/20.500.12418/10723

Interference Pattern Analysis of the Radiated Noise in Submarine Passive Sonar

Authors: SangKyum An Jooyoung Hahn Woojae Seong et al.

Source: Journal of the Korea Institute of Military Science and Technology. 16:456-464

Access URL: http://society.kisti.re.kr/sv/SV_svpsbs03V.do?method=download&cn1=JAKO201330258590230
http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=GSGGBW_2013_v16n4_456

EMG-interference pattern analysis

Authors: Josef Finsterer

Source: Journal of Electromyography and Kinesiology. 11:231-246

Subject Terms: Adult, Male, 03 medical and health sciences, 0302 clinical medicine, Electromyography, Humans, Female, Middle Aged, Artifacts, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/11532594
https://pubmed.ncbi.nlm.nih.gov/11532594/
https://www.sciencedirect.com/science/article/pii/S1050641101000062
http://www.journals.elsevierhealth.com/article/S1050-6411(01)00006-2/fulltext
https://www.ncbi.nlm.nih.gov/pubmed/11532594

Quantitative Interference Pattern Analysis in Adolescence

Authors: null 송명호 null 김선도 null 최원아 et al.

Source: Jouranl of Korean Association of EMG Electrodiagnostic Medicine. 11:17-23

Subject Terms: 03 medical and health sciences, 0302 clinical medicine

Access URL: https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001450276

Peak-ratio interference pattern analysis in the detection of neuromuscular disorders

Authors: Finsterer, J. Mamoli, B. Fuglsang-Frederiksen, Anders

Source: Finsterer, J, Mamoli, B & Fuglsang-Frederiksen, A 1997, 'Peak-ratio interference pattern analysis in the detection of neuromuscular disorders', Electroencephalography and clinical neurophysiology, vol. 105, pp. 379-384.

Subject Terms: Adult, Aged, 80 and over, Male, Electromyography, Age Factors, Action Potentials, Neuromuscular Diseases, 04 agricultural and veterinary sciences, Middle Aged, Sensitivity and Specificity, 0403 veterinary science, 03 medical and health sciences, Sex Factors, 0302 clinical medicine, Humans, Female, Prospective Studies, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/9363003
http://www.sciencedirect.com/science/article/pii/S0924980X97000398
https://www.sciencedirect.com/science/article/abs/pii/S0924980X97000398
https://www.ncbi.nlm.nih.gov/pubmed/9363003
https://europepmc.org/abstract/MED/9363003
https://pure.au.dk/portal/en/publications/78b3384d-215e-4c0c-80e5-757c87ace365

Sensitivity and specificity of needle electromyography: a prospective study comparing automated interference pattern analysis with single motor unit potential analysis

Authors: Christian W. Hess Arto C. Nirkko Kai M. Rösler

Source: Electroencephalography and Clinical Neurophysiology/Electromyography and Motor Control. 97:1-10

Subject Terms: Adult, Aged, 80 and over, Male, Adolescent, Electromyography, Muscles, Reproducibility of Results, 04 agricultural and veterinary sciences, Middle Aged, Sensitivity and Specificity, 0403 veterinary science, 03 medical and health sciences, 0302 clinical medicine, Muscular Diseases, Humans, Female, Prospective Studies, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/7533715
https://www.ncbi.nlm.nih.gov/pubmed/7533715
http://www.sciencedirect.com/science/article/pii/0924980X94002486
https://europepmc.org/article/MED/7533715
https://www.sciencedirect.com/science/article/abs/pii/0924980X94002486

Interference pattern analysis of optical CDMA system using the SCAE and SCAD

Authors: Tae-Gu Kang Young-Wan Choi Jae-Kyong Choi et al.

Source: SPIE Proceedings. 3952:31-39

Subject Terms: 0508 media and communications, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/3952/0000/Interference-pattern-analysis-of-optical-CDMA-system-using-the-SCAE/10.1117/12.384404.full
https://ui.adsabs.harvard.edu/abs/2000SPIE.3952...31K/abstract

Analysis of the Interference Effects of Ethamsylate on the Determination of Serum Creatinine Levels Using Two Methods.

Authors: Chun-Se Huang Xian-Ming Liang Yun-Hui Liao et al.

Source: Clinical Laboratory; 2025, Vol. 71 Issue 6, p1037-1043, 7p

Subject Terms: PICRIC acid, CUBIC curves, CONCENTRATION gradient, CREATININE, KIDNEY physiology

The use of electromyography interference pattern analysis to determine muscle force of the deep digital flexor muscle in healthy and laminitic horses

Authors: Wijnberg, I.D. Hardeman, L C van der Meij, B R et al.

Source: Veterinary Quarterly vol.36 (2016) nr.1 p.10-15 [ISSN 0165-2176]

Index Terms: Horse, equine, deep digital flexor muscle, electromyography, laminitis, SDG 3 - Good Health and Well-being, Article

URL: https://research-portal.uu.nl/en/publications/d389c0d9-388b-4cbc-a2d5-71f6e874d0a0
https://dspace.library.uu.nl/bitstream/handle/1874/341056/electromyography.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/341056/electromyography.pdf?sequence=1

Cloud interference pattern analysis (IPA) in thoracic paraspinal muscles in motor neuron disease

Authors: Benn E. Smith

Subject Terms: Motor Neurons, 03 medical and health sciences, 0302 clinical medicine, Spinal Cord, Electromyography, Action Potentials, Humans, Motor Neuron Disease, Muscle, Skeletal, Electric Stimulation, Muscle Contraction

Access URL: https://pubmed.ncbi.nlm.nih.gov/20715390
http://www.sciencedirect.com/science/article/pii/S1567424X08000287
https://mayoclinic.pure.elsevier.com/en/publications/chapter-28-cloud-interference-pattern-analysis-ipa-in-thoracic-pa
https://www.ncbi.nlm.nih.gov/pubmed/20715390
https://www.sciencedirect.com/science/article/pii/S1567424X08000287