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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
Seotud publikatsioonid 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
Seotud publikatsioonid 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
Seotud publikatsioonid 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. amoxicillin detection
6. anomaly detection
7. anomaly detection for system logs
8. antibiotic detection
9. antibiotics detection
10. aspect detection
11. asynchronous fault detection
12. attack detection
13. barotrauma detection system
14. behaviour-based intrusion detection systems
15. body detection
16. botnet detection
17. capacitively coupled conductivity detection
18. change detection
19. chemical detection
20. community detection
21. compu ter-aided detection(CAD)
22. computer-aided detection
23. computer‐aided detection
24. contactless conductivity detection
25. contactless conductivity detection (C4D)
26. crack detection
27. crash detection
28. cyber intrusion detection
29. defect detection
30. detection
31. detection efficiency
32. detection engineering
33. detection methods
34. detection of anomalous end user nodes
35. detection of hydrogen isotopes
36. distributed detection
37. early detection
38. early intrusion detection
39. energy detection
40. error detection
41. ESI-MS and IM detection
42. Event detection
43. extraction and detection methods
44. face detection
45. Face Manipulation Detection
46. failure detection
47. fall detection
48. fault detection
49. fault detection and diagnoses
50. fault detection and diagnosis
51. Fish detection
52. fouling detection
53. harmonic detection
54. hepatitis C virus (HCV) detection
55. hubs detection
56. IED detection
57. image-based crack detection
58. indicident detection and response
59. indirect UV absorbance detection
60. intrusion detection
61. intrusion detection system
62. intrusion detection system (IDS)
63. intrusion detection systems
64. island detection
65. islanding detection
66. label-free detection
67. LED fluorescence detection
68. leg detection
69. light detection and ranging
70. light detection and ranging (LiDAR)
71. Light Detection and Ranging (LiDAR) point cloud
72. limit of detection
73. loop-closure detection
74. malware detection
75. marker detection
76. mobile malware detection
77. money laundering detection systems
78. monitoring and detection
79. multi-classed object detection
80. mutant detection
81. network anomaly detection
82. network intrusion detection system
83. nodules detection
84. object detection
85. oil-spill detection
86. outlier’s detection methods
87. outliers detection
88. peak detection
89. plagiarism detection
90. position detection
91. protein detection
92. proton detection
93. radar detection
94. ramp event detection
95. recycled FPGA detection
96. residual current detection
97. robust detection
98. scene text detection
99. short-circuit detection
100. small molecule detection
101. speech activity detection
102. Suicidal ideation detection
103. synchronous detection
104. tyre detection
105. unmanned aerial vehicle detection systems
106. unsupervised outlier detection
107. UV detection
108. vehicle detection
109. vortex detection
110. 3D lane detection

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