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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. molecular detection
93. money laundering detection systems
94. monitoring and detection
95. multi-classed object detection
96. Multi-valued Simulation for Hazard Detection in Digital Circuits
97. mutant detection
98. network anomaly detection
99. network intrusion detection system
100. nodules detection
101. object detection
102. oil-spill detection
103. outlier’s detection methods
104. outliers detection
105. peak detection
106. photovoltaic fault detection algorithms
107. phytoplankton detection methods
108. plagiarism detection
109. position detection
110. precursor detection
111. propaganda detection
112. protein detection
113. proton detection
114. radar detection
115. ramp event detection
116. recycled FPGA detection
117. residual current detection
118. robust detection
119. scene text detection
120. short-circuit detection
121. Side-Channel Attack Detection
122. small molecule detection
123. speech activity detection
124. Suicidal ideation detection
125. synchronous detection
126. Template detection from event logs
127. topic detection
128. tyre detection
129. unmanned aerial vehicle detection systems
130. unsupervised outlier detection
131. UV detection
132. vehicle detection
133. vortex detection
134. 3D lane detection

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