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Keyword [Non-Invasive]
Result: 61 - 80 | Page: 4 of 5
61. Design Of Data Acquisition System In Non-invasive Sleep Monitoring
62. Indoor Personnel Positioning And Walking Posture Recognition Based On Vibration Characteristics
63. Non-invasive Indoor Regional Population Estimation Based On Wi-Fi
64. Shared Control Of A Robotic ARM Using Non-Invasive Brain-Computer Interface And Machine Vision
65. Non-invasive near-field measurement setup based on modulated scatterer technique applied to microwave tomography
66. Optical, non-invasive monitoring of engineered tissues
67. Application of wrapper methods to non-invasive brain-state detection: An opto-electric approach
68. A non-invasive and intuitive command source for upper limb prostheses
69. Non-invasive characterization of real time biofilm analyte flux
70. An analysis of spectral selectivity on edge detection algorithms for a non-invasive identification of skin cancer
71. Direct and non-invasive assessment of parafoveal capillary anatomy and hemodynamics with an adaptive optics scanning laser ophthalmoscope
72. Femtosecond Laser Processing of Ophthalmic Materials and Ocular Tissues: A Novel Approach for Non-invasive Vision Correction
73. Microbubble streaming flows for non-invasive particle manipulation and liquid mixing
74. Non-Invasive Sensor Solutions for Activity Recognition in Smart Homes
75. P300 wave detection using a commercial non-invasive EEG sensor: Reliability and performance in control applications
76. Combined utilization of objective and subjective data as determinants of an oculometric index for the non-invasive detection and prediction of operator fatigue and drowsiness
77. Determining the optical properties of the human brain using a two-layer diffusion model for non-invasive, frequency domain optical measurements
78. An infrared and laser range imaging system for non-invasive estimation of internal cooking temperature in poultry fillets
79. Development of label-free methodology towards non-invasive profiling of cellular dynamics
80. A statistical approach to binary and multiple-class pattern recognition of motor imagery by non-invasive EEG for brain computer interface (BCI) applications
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