Magnetoencephalography (MEG) as a New Tool for Non-invasive Real-time Analysis of Normal and Abnormal Brain Activity in Humans

Background: The purpose of this case report is to describe the potential that metabolomics breath analysis may have in cancer disease monitoring. The advances in mass spectrometry instrumentation allow the accurate real-time analysis of volatile metabolites exhaled in the breath. The application of such non-invasive devices may provide innovative and complementary monitoring of the physio-pathological conditions of cancer patients. Case presentation: A 59-year-old Caucasian woman with spindle cell malignant mesenchymal sarcoma of the presacral region started a first-line therapy with non-pegylated liposomal doxorubicin and ifosfamide associated with pelvic radiant treatment. After two cycles of chemotherapy plus radiotherapy, a significant pulmonary disease progression was reported. Thus, a second-line therapy with trabectedin was administered. However, after only two cycles of treatment a re-staging computed tomography scan reported further cancer disease progression of the target pulmonary lesions as well as occurrence of new satellite bilateral nodules. Real-time analysis of breath exhaled volatile organic compounds, performed by select ion flow tube mass spectrometry (SIFT-MS) during the follow-up of the patient, showed a specific metabolic pattern not observed in the breath of other soft tissue sarcoma patients who achieved clinical benefit from the treatments. Conclusions: This case report revealed the importance of the non-invasive real-time volatile organic compounds breath analysis to distinguish individual specific chemo-resistance phenotypes among soft tissue sarcoma patients. Such observation seems to suggest that breath metabolomics may be particularly useful for monitoring cancer disease progression in soft tissue sarcoma patients where only cost-effective diagnostic tools, such as positron emission tomography and computed tomography, are available.

Download Full-text

Non-invasive long-term and real-time analysis of endocrine cells on micro-electrode arrays

The Journal of Physiology ◽

10.1113/jphysiol.2011.220038 ◽

2012 ◽

Vol 590 (5) ◽

pp. 1085-1091 ◽

Cited By ~ 13

Author(s):

Matthieu Raoux ◽

Yannick Bornat ◽

Adam Quotb ◽

Bogdan Catargi ◽

Sylvie Renaud ◽

...

Keyword(s):

Real Time ◽

Endocrine Cells ◽

Electrode Arrays ◽

Time Analysis ◽

Non Invasive ◽

Real Time Analysis ◽

Micro Electrode Arrays

Download Full-text

Neuroadaptive technology enables implicit cursor control based on medial prefrontal cortex activity

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1605155114 ◽

2016 ◽

Vol 113 (52) ◽

pp. 14898-14903 ◽

Cited By ~ 54

Author(s):

Thorsten O. Zander ◽

Laurens R. Krol ◽

Niels P. Birbaumer ◽

Klaus Gramann

Keyword(s):

Prefrontal Cortex ◽

Real Time ◽

Medial Prefrontal Cortex ◽

Brain Activity ◽

Predictive Coding ◽

User Model ◽

Time Analysis ◽

Human Machine Interaction ◽

Real Time Analysis ◽

High Level

The effectiveness of today’s human–machine interaction is limited by a communication bottleneck as operators are required to translate high-level concepts into a machine-mandated sequence of instructions. In contrast, we demonstrate effective, goal-oriented control of a computer system without any form of explicit communication from the human operator. Instead, the system generated the necessary input itself, based on real-time analysis of brain activity. Specific brain responses were evoked by violating the operators’ expectations to varying degrees. The evoked brain activity demonstrated detectable differences reflecting congruency with or deviations from the operators’ expectations. Real-time analysis of this activity was used to build a user model of those expectations, thus representing the optimal (expected) state as perceived by the operator. Based on this model, which was continuously updated, the computer automatically adapted itself to the expectations of its operator. Further analyses showed this evoked activity to originate from the medial prefrontal cortex and to exhibit a linear correspondence to the degree of expectation violation. These findings extend our understanding of human predictive coding and provide evidence that the information used to generate the user model is task-specific and reflects goal congruency. This paper demonstrates a form of interaction without any explicit input by the operator, enabling computer systems to become neuroadaptive, that is, to automatically adapt to specific aspects of their operator’s mindset. Neuroadaptive technology significantly widens the communication bottleneck and has the potential to fundamentally change the way we interact with technology.

Download Full-text

Non-invasive spatial visualization system of exhaled ethanol for real-time analysis of ALDH2 related alcohol metabolism

The Analyst ◽

10.1039/c1an15101k ◽

2011 ◽

Vol 136 (18) ◽

pp. 3680 ◽

Cited By ~ 10

Author(s):

Xin Wang ◽

Eri Ando ◽

Daishi Takahashi ◽

Takahiro Arakawa ◽

Hiroyuki Kudo ◽

...

Keyword(s):

Real Time ◽

Spatial Visualization ◽

Alcohol Metabolism ◽

Time Analysis ◽

Visualization System ◽

Non Invasive ◽

Real Time Analysis

Download Full-text

A Novel Non-Invasive Algorithm Using the concept of Nail Based Anemia Disease Detection

Journal of University of Shanghai for Science and Technology ◽

10.51201/jusst12611 ◽

2021 ◽

Vol 23 (2) ◽

Author(s):

Saurabh Mitra ◽

◽

Dr. Shanti Rathore ◽

Dr. Sanjeev Kumar Gupta ◽

Keyword(s):

Real Time ◽

Human Life ◽

Time Analysis ◽

Non Invasive ◽

Real Time Analysis ◽

Deadly Disease ◽

Analysis System ◽

Human Nails ◽

Learning Concept

Anemia is a danger disease for the human life. If anemia diagnosis is not found in time than its very difficult to recover the patient specially in COVID-19 time it’s a deadly disease. As we know in this era 2020 COVID is create a huge change in human life that’s why after 2019 is called New life. As we know there is lots of approaches are there to identify the anemia, but there is very few approaches are there which are non-invasive, and those approaches are not good in terms of the quality of the result and most important they are not a good real time analysis system. So, in this paper we proposed a novel non-invasive algorithm which is able to detect the anemia using the human nails. In this approach we use computer vision, machine and deep learning concept and based on that only we decide the anemia level on any particular patient. Our propose approach is complete real time and this system is able to provide result in very less time. Key Words:Invasive, Non-Invasive, SPO2, Hardware, Device.

Download Full-text

Fluorescent small organic probes for biosensing

Chemical Science ◽

10.1039/d0sc06928k ◽

2021 ◽

Author(s):

Xue Tian ◽

Lloyd C. Murfin ◽

Luling Wu ◽

Simon E. Lewis ◽

Tony D. James

Keyword(s):

Real Time ◽

Small Molecule ◽

Fluorescent Probes ◽

High Selectivity ◽

Signaling Molecules ◽

Living Systems ◽

Time Analysis ◽

Non Invasive ◽

Real Time Analysis

Small-molecule based fluorescent probes are increasingly important for the detection and imaging of biological signaling molecules due to their simplicity, high selectivity and sensitivity, whilst being non-invasive, and suitable for real-time analysis of living systems.

Download Full-text

An Interactive Minicomputer Program for the Indexing and Simulation of Electron Diffraction Patterns

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100092670 ◽

1976 ◽

Vol 34 ◽

pp. 542-543

Author(s):

R.P. Goehner ◽

W.T. Hatfield ◽

Prakash Rao

Keyword(s):

Electron Diffraction ◽

Real Time ◽

Pattern Analysis ◽

Flow Diagram ◽

Hard Copy ◽

Time Analysis ◽

Real Time Analysis ◽

Transmission Electron ◽

One Step ◽

Diffraction Patterns

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.

Download Full-text