Prediction and Prevention of Persistent Post-Surgical Pain

2014 ◽  
pp. 298-303.e2
Author(s):  
Frederick M. Perkins ◽  
Julie S. Franklin
Keyword(s):  
Surgical Pain ◽  
Prediction And Prevention

PREDICTION AND PREVENTION OF GEODYNAMIC EVENTS DURING PREPARATION OF AN OREBODY BLOCK FOR EXTRACTION AT TASHTAGOL DEPOSIT

2018 ◽  
Vol 5 ◽  
pp. 74-80
Author(s):  
V.N. Filippov ◽  
◽  
A.A. Eremenko ◽  
A.N. Aleksandrov ◽  
I.F. Matveev ◽  
...  
Keyword(s):  
Prediction And Prevention

Automated System for Epileptic Seizures Prediction based on Multi-Channel Recordings of Electrical Brain Activity

2018 ◽  
pp. 115-122 ◽  
Author(s):  
V. A. Maksimenko ◽  
A. A. Harchenko ◽  
A. Lüttjohann
Keyword(s):  
Epileptic Seizure ◽  
Brain Activity ◽  
Epileptic Seizures ◽  
Automated System ◽  
Brain Computer Interfaces ◽  
Electrical Brain Activity ◽  
Computer Interfaces ◽  
Prediction And Prevention ◽  
The Brain

Introduction: Now the great interest in studying the brain activity based on detection of oscillatory patterns on the recorded data of electrical neuronal activity (electroencephalograms) is associated with the possibility of developing brain-computer interfaces. Braincomputer interfaces are based on the real-time detection of characteristic patterns on electroencephalograms and their transformation  into commands for controlling external devices. One of the important areas of the brain-computer interfaces application is the control of the pathological activity of the brain. This is in demand for epilepsy patients, who do not respond to drug treatment.Purpose: A technique for detecting the characteristic patterns of neural activity preceding the occurrence of epileptic seizures.Results:Using multi-channel electroencephalograms, we consider the dynamics of thalamo-cortical brain network, preceded the occurrence of an epileptic seizure. We have developed technique which allows to predict the occurrence of an epileptic seizure. The technique has been implemented in a brain-computer interface, which has been tested in-vivo on the animal model of absence epilepsy.Practical relevance:The results of our study demonstrate the possibility of epileptic seizures prediction based on multichannel electroencephalograms. The obtained results can be used in the development of neurointerfaces for the prediction and prevention of seizures of various types of epilepsy in humans. 

POSTOPERATIVE ANALGESIA IN ONCOLOGIC HOSPITAL: CURRENT STATUS AND PROSPECTS

2017 ◽  
Vol 63 (1) ◽  
pp. 95-98
Author(s):  
Aleksandr Potapov ◽  
Anna Boyarkina ◽  
Igor Kostyuk ◽  
Sergey Ivanov ◽  
Vsevolod Galkin
Keyword(s):  
Postoperative Analgesia ◽  
Severe Pain ◽  
Rating Scale ◽  
Numeric Rating Scale ◽  
Current Status ◽  
Regional Analgesia ◽  
Surgical Pain ◽  
Oncological Patients ◽  
Maximum Pain ◽  
Chronic Post Surgical Pain

Observational study of the postoperative analgesia efficacy with multimodal approach (acetaminophen, NSAIDs, opioids, regional analgesia) in 100 oncological patients has been conducted. On the first day after the surgery maximum pain level was 5 (3-7) points of numeric rating scale (NRS), 38% of patients experienced severe pain (NRS>6 points). After laparo-, thoracoscopic, videoassisted interventions and in cases of epidural analgesia NRS levels were 3 (1-6) and 3 (2-5) points respectively. After the surgeries with high risk of chronic post-surgical pain (thoracic, mammary gland interventions, Phan-nenstiel incision) NRS level was 6 (1-7) points. Patients in this group more often experienced severe pain than in the rest group - 56,7% vs. 32,5% (P.=0.037). Suggesting results of this study and data of current literature the perspectives of further improvement of postoperative analgesia in oncology have been formulated.

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