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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

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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. deepfake detection
32. defect detection
33. dementia detection
34. detection
35. detection efficiency
36. detection engineering
37. detection mechanisms
38. detection method
39. detection methods
40. detection of anomalous end user nodes
41. detection of hydrogen isotopes
42. distributed detection
43. early detection
44. early intrusion detection
45. electronic warfare activity detection
46. energy detection
47. error detection
48. ESI-MS and IM detection
49. evaluation of explainable AI intrusion detection
50. Event detection
51. extraction and detection methods
52. face detection
53. Face Manipulation Detection
54. failure detection
55. fall detection
56. fault detection
57. fault detection and classification
58. fault detection and diagnoses
59. fault detection and diagnosis
60. fault detection and diagnostics (FDD)
61. Fish detection
62. fouling detection
63. hardware trojan detection
64. harmonic detection
65. health care IoMT intrusion detection
66. hepatitis C virus (HCV) detection
67. hubs detection
68. hybrid fault detection
69. IED detection
70. image-based crack detection
71. indicident detection and response
72. indirect UV absorbance detection
73. intrusion detection
74. intrusion detection system (IDS)
75. intrusion detection systems
76. intrusion detection systems (IDS)
77. island detection
78. islanding detection
79. label-free detection
80. lane detection
81. lane line detection
82. LED fluorescence detection
83. leg detection
84. light detection and ranging
85. light detection and ranging (LiDAR)
86. Light Detection and Ranging (LiDAR) point cloud
87. limit of detection
88. LLM-based template detection from security event logs
89. loop-closure detection
90. malware detection
91. marker detection
92. mobile malware detection
93. molecular detection
94. money laundering detection systems
95. monitoring and detection
96. multi-classed object detection
97. Multi-valued Simulation for Hazard Detection in Digital Circuits
98. mutant detection
99. network anomaly detection
100. network intrusion detection system
101. nodules detection
102. object detection
103. oil-spill detection
104. outlier’s detection methods
105. outliers detection
106. peak detection
107. photovoltaic fault detection algorithms
108. phytoplankton detection methods
109. plagiarism detection
110. position detection
111. precursor detection
112. propaganda detection
113. protein detection
114. proton detection
115. radar detection
116. ramp event detection
117. Real-time occupancy detection
118. recycled FPGA detection
119. residual current detection
120. robust detection
121. scene text detection
122. short-circuit detection
123. Side-Channel Attack Detection
124. signal anomaly detection
125. small molecule detection
126. speech activity detection
127. Suicidal ideation detection
128. synchronous detection
129. Template detection from event logs
130. topic detection
131. tyre detection
132. unmanned aerial vehicle detection systems
133. unsupervised outlier detection
134. UV detection
135. vehicle detection
136. vortex detection
137. 3D lane detection

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