A wearable bluetooth LE sensor for patient monitoring during MRI scans

2016 ◽  
Author(s):  
Christian Vogt ◽  
Jonas Reber ◽  
Daniel Waltisberg ◽  
Lars Buthe ◽  
Josip Marjanovic ◽  
...  
Keyword(s):  
Patient Monitoring ◽  
Mri Scans

An emerging technology: Nuclear magnetic resonance microscopy

1988 ◽  
Vol 46 ◽  
pp. 1000-1001
Author(s):  
M.J. Hennessy ◽  
E. Kwok
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Relaxation Times ◽  
Basic Research ◽  
Local Environment ◽  
Magnetic Resonance Images ◽  
Nmr Microscopy ◽  
Mri Scans ◽  
Temperature Relaxation ◽  
Nuclear Magnetic

Much progress in nuclear magnetic resonance microscope has been made in the last few years as a result of improved instrumentation and techniques being made available through basic research in magnetic resonance imaging (MRI) technologies for medicine. Nuclear magnetic resonance (NMR) was first observed in the hydrogen nucleus in water by Bloch, Purcell and Pound over 40 years ago. Today, in medicine, virtually all commercial MRI scans are made of water bound in tissue. This is also true for NMR microscopy, which has focussed mainly on biological applications. The reason water is the favored molecule for NMR is because water is,the most abundant molecule in biology. It is also the most NMR sensitive having the largest nuclear magnetic moment and having reasonable room temperature relaxation times (from 10 ms to 3 sec). The contrast seen in magnetic resonance images is due mostly to distribution of water relaxation times in sample which are extremely sensitive to the local environment.

Time consumption and quality of an automated fusion tool for SPECT and MRI images of the brain

2003 ◽  
Vol 42 (05) ◽  
pp. 215-219
Author(s):  
G. Platsch ◽  
A. Schwarz ◽  
K. Schmiedehausen ◽  
B. Tomandl ◽  
W. Huk ◽  
...  
Keyword(s):  
Data Sets ◽  
3D Mri ◽  
Clinical Routine ◽  
Fusion Procedure ◽  
3D Data ◽  
Mri Scans ◽  
2D Data ◽  
Time Required ◽  
The Brain ◽  
Manual Correction

Summary: Aim: Although the fusion of images from different modalities may improve diagnostic accuracy, it is rarely used in clinical routine work due to logistic problems. Therefore we evaluated performance and time needed for fusing MRI and SPECT images using a semiautomated dedicated software. Patients, material and Method: In 32 patients regional cerebral blood flow was measured using 99mTc ethylcystein dimer (ECD) and the three-headed SPECT camera MultiSPECT 3. MRI scans of the brain were performed using either a 0,2 T Open or a 1,5 T Sonata. Twelve of the MRI data sets were acquired using a 3D-T1w MPRAGE sequence, 20 with a 2D acquisition technique and different echo sequences. Image fusion was performed on a Syngo workstation using an entropy minimizing algorithm by an experienced user of the software. The fusion results were classified. We measured the time needed for the automated fusion procedure and in case of need that for manual realignment after automated, but insufficient fusion. Results: The mean time of the automated fusion procedure was 123 s. It was for the 2D significantly shorter than for the 3D MRI datasets. For four of the 2D data sets and two of the 3D data sets an optimal fit was reached using the automated approach. The remaining 26 data sets required manual correction. The sum of the time required for automated fusion and that needed for manual correction averaged 320 s (50-886 s). Conclusion: The fusion of 3D MRI data sets lasted significantly longer than that of the 2D MRI data. The automated fusion tool delivered in 20% an optimal fit, in 80% manual correction was necessary. Nevertheless, each of the 32 SPECT data sets could be merged in less than 15 min with the corresponding MRI data, which seems acceptable for clinical routine use.

Framework for Biosignal Interpretation in Intensive Care and Anesthesia

1997 ◽  
Vol 36 (04/05) ◽  
pp. 340-344 ◽  
Author(s):  
I. Korhonen ◽  
M. van Gils ◽  
A. Kari ◽  
N. Saranummi
Keyword(s):  
Critical Care ◽  
Intensive Care ◽  
Data Management ◽  
Clinical Evaluation ◽  
Patient Monitoring ◽  
Research Community ◽  
Clinical Routine ◽  
The Poor ◽  
Outcomes Of Care

Abstract:Improved monitoring improves outcomes of care. As critical care is “critical”, everything that can be done to detect and prevent complications as early as possible benefits the patients. In spite of major efforts by the research community to develop and apply sophisticated biosignal interpretation methods (BSI), the uptake of the results by industry has been poor. Consequently, the BSI methods used in clinical routine are fairly simple. This paper postulates that the main reason for the poor uptake is the insufficient bridging between the actors (i.e., clinicians, industry and research). This makes it difficult for the BSI developers to understand what can be implemented into commercial systems and what will be accepted by clinicians as routine tools. A framework is suggested that enables improved interaction and cooperation between the actors. This framework is based on the emerging commercial patient monitoring and data management platforms which can be shared and utilized by all concerned, from research to development and finally to clinical evaluation.

Comparison of Standard and Derived 12-Lead Electrocardiograms Registrated by a Simplified 3-Lead Setting with Four Electrodes for Diagnosis of Coronary Angioplasty-induced Myocardial Ischaemia

2012 ◽  
Vol 8 (3) ◽  
pp. 179 ◽  
Author(s):  
Klaus Bonaventura ◽  
Ernst Wellnhofer ◽  
Eckart Fleck ◽  
◽  
◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Myocardial Ischaemia ◽  
Coronary Angioplasty ◽  
Patient Monitoring ◽  
Percutaneous Transluminal Coronary Angioplasty ◽  
Myocardial Infarction Patient ◽  
Cardiovascular Patients ◽  
Transluminal Coronary Angioplasty ◽  
Percutaneous Transluminal ◽  
Four Electrodes

Electrocardiograms (ECGs), myocardial infarction, patient monitoring, EASI lead ECG, percutaneous transluminal coronary angioplasty, four electrodes set 12-lead ECG, 12-lead ECG, cardiovascular patients

Primary Melanocytoma of the Lower Thoracic Spinal Cord: Case report and review of the literature

2019 ◽  
Vol 8 (1) ◽  
pp. 5
Author(s):  
Dimitrios Panagopoulos
Keyword(s):  
Total Resection ◽  
Thoracic Spinal Cord ◽  
Meningeal Melanocytoma ◽  
Melanocytic Tumors ◽  
Thoracic Spinal ◽  
Thoracolumbar Region ◽  
Rare Benign Tumor ◽  
Mri Scans ◽  
History Of ◽  
The Central Nervous System

Background: Meningeal melanocytoma is a rare benign tumor, most frequently located in the posterior fossa and spinal canal. Our objective is to illustrate a case of this tumor that originated in the thoracolumbar area of the spine and had an uneventful clinical course after total resection. Case description: We present the case of a 59 years old woman who presented with a medical history of ongoing neurological deterioration due to spastic paresis of the lower extremities. MRI of the thoracolumbar region identified a melanocytic melanoma as the underlying cause. Conclusions: Melanocytic tumors of the central nervous system have a typical appearance on MRI scans, varying with the content and distribution of melanin. However, the differential diagnosis between malignant melanoma and melanocytoma still depends on pathological criteria. Spinal meningeal melanocytoma has a benign course, and it is amenable for gross total resection. The outcome is favorable following complete resection.

Implementation of a Cyber-Physical System Using Wireless Sensor Networks for Monitoring Patients

2015 ◽  
Vol 1 ◽  
pp. 26 ◽  
Author(s):  
Vo Que Son ◽  
Do Tan A
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Physical System ◽  
Patient Monitoring ◽  
High Reliability ◽  
Vital Signs ◽  
Wireless Sensor ◽  
Cyber Physical System ◽  
Self Administration ◽  
Hospital Units

Sensing, distributed computation and wireless communication are the essential building components of a Cyber-Physical System (CPS). Having many advantages such as mobility, low power, multi-hop routing, low latency, self-administration, utonomous data acquisition, and fault tolerance, Wireless Sensor Networks (WSNs) have gone beyond the scope of monitoring the environment and can be a way to support CPS. This paper presents the design, deployment, and empirical study of an eHealth system, which can remotely monitor vital signs from patients such as body temperature, blood pressure, SPO2, and heart rate. The primary contribution of this paper is the measurements of the proposed eHealth device that assesses the feasibility of WSNs for patient monitoring in hospitals in two aspects of communication and clinical sensing. Moreover, both simulation and experiment are used to investigate the performance of the design in many aspects such as networking reliability, sensing reliability, or end-to-end delay. The results show that the network achieved high reliability - nearly 97% while the sensing reliability of the vital signs can be obtained at approximately 98%. This indicates the feasibility and promise of using WSNs for continuous patient monitoring and clinical worsening detection in general hospital units.

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