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book article EST / book article ENG

Automatic detection of real and imaginary parts of electrical impedance with single synchronous demodulation channelAnnus, Paul; Priidel, Eiko; Land, Raul; Metshein, Margus; Krivošei, Andrei; Min, Mart; Ratassepp, Madis; Märtens, Olev8th European Medical and Biological Engineering Conference : Proceedings of the EMBEC 2020, November 29 - December 3, 2020 Portorož, Slovenia2021 / p. 151-157 https://doi.org/10.1007/978-3-030-64610-3_18 Conference Proceedings at Scopus Article at Scopus

book article EST / book article ENG
Related publications 1
- Detection of changes in tissue state with the aid of electromagnetic interaction = Koe seisundi muutuste detekteerimine elektromagnetilise vastastikmõju abil
2

book article

Lock-in integration for detection of tiny bioimpedance variations [Online resource]Priidel, Eiko; Annus, Paul; Metshein, Margus; Land, Raul; Märtens, Olev; Min, MartBEC 2018 : 2018 16th Biennial Baltic Electronics Conference (BEC) : proceedings of the 16th Biennial Baltic Electronics Conference, October 8-10, 20182018 / 4 p. : ill https://doi.org/10.1109/BEC.2018.8600965

book article
Related publications 1
- Detection of changes in tissue state with the aid of electromagnetic interaction = Koe seisundi muutuste detekteerimine elektromagnetilise vastastikmõju abil
3

journal article EST / journal article ENG

Methods for detection of bioimpedance variations in resource constrained environmentsPriidel, Eiko; Annus, Paul; Krivošei, Andrei; Rist, Marek; Land, Raul; Min, Mart; Märtens, OlevSensors2020 / art. 1363, 16 p. : ill https://doi.org/10.3390/s20051363 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG
Related publications 1
- Detection of changes in tissue state with the aid of electromagnetic interaction = Koe seisundi muutuste detekteerimine elektromagnetilise vastastikmõju abil

Number of records 3, displaying 1 - 3

1. lock-in detection
2. anti-lock braking system
3. anti–lock braking system
4. lock-in measurement
5. AI-based fault detection
6. amoxicillin detection
7. anomaly detection
8. anomaly detection for system logs
9. antibiotic detection
10. antibiotics detection
11. aspect detection
12. asynchronous fault detection
13. attack detection
14. barotrauma detection system
15. Barotrauma detection system sensors
16. behaviour-based intrusion detection systems
17. body detection
18. botnet detection
19. capacitively coupled conductivity detection
20. change detection
21. chemical detection
22. community detection
23. compu ter-aided detection(CAD)
24. computer-aided detection
25. computer‐aided detection
26. contactless conductivity detection
27. contactless conductivity detection (C4D)
28. crack detection
29. crash detection
30. cyber intrusion detection
31. defect detection
32. dementia detection
33. detection
34. detection efficiency
35. detection engineering
36. detection mechanisms
37. detection method
38. detection methods
39. detection of anomalous end user nodes
40. detection of hydrogen isotopes
41. distributed detection
42. early detection
43. early intrusion detection
44. electronic warfare activity detection
45. energy detection
46. error detection
47. ESI-MS and IM detection
48. evaluation of explainable AI intrusion detection
49. Event detection
50. extraction and detection methods
51. face detection
52. Face Manipulation Detection
53. failure detection
54. fall detection
55. fault detection
56. fault detection and classification
57. fault detection and diagnoses
58. fault detection and diagnosis
59. fault detection and diagnostics (FDD)
60. Fish detection
61. fouling detection
62. hardware trojan detection
63. harmonic detection
64. health care IoMT intrusion detection
65. hepatitis C virus (HCV) detection
66. hubs detection
67. hybrid fault detection
68. IED detection
69. image-based crack detection
70. indicident detection and response
71. indirect UV absorbance detection
72. intrusion detection
73. intrusion detection system (IDS)
74. intrusion detection systems
75. intrusion detection systems (IDS)
76. island detection
77. islanding detection
78. label-free detection
79. lane detection
80. lane line detection
81. LED fluorescence detection
82. leg detection
83. light detection and ranging
84. light detection and ranging (LiDAR)
85. Light Detection and Ranging (LiDAR) point cloud
86. limit of detection
87. LLM-based template detection from security event logs
88. loop-closure detection
89. malware detection
90. marker detection
91. mobile malware detection
92. money laundering detection systems
93. monitoring and detection
94. multi-classed object detection
95. Multi-valued Simulation for Hazard Detection in Digital Circuits
96. mutant detection
97. network anomaly detection
98. network intrusion detection system
99. nodules detection
100. object detection
101. oil-spill detection
102. outlier’s detection methods
103. outliers detection
104. peak detection
105. photovoltaic fault detection algorithms
106. phytoplankton detection methods
107. plagiarism detection
108. position detection
109. precursor detection
110. propaganda detection
111. protein detection
112. proton detection
113. radar detection
114. ramp event detection
115. recycled FPGA detection
116. residual current detection
117. robust detection
118. scene text detection
119. short-circuit detection
120. Side-Channel Attack Detection
121. small molecule detection
122. speech activity detection
123. Suicidal ideation detection
124. synchronous detection
125. Template detection from event logs
126. topic detection
127. tyre detection
128. unmanned aerial vehicle detection systems
129. unsupervised outlier detection
130. UV detection
131. vehicle detection
132. vortex detection
133. 3D lane detection

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