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Biomedical subjects

Hans Koch

Publications and source records attributed to Hans Koch.

8 recordsLinked to original sources

Most stable structure for hard spheres.

The hard sphere model is known to show a liquid-solid phase transition, with the solid expected to be either face centered cubic or hexagonal close packed. The differences in free energy of the two structures are very small and various attempts have been made to determine which structure is the more stable. We contrast the different approaches and extend one.

Journal Article↗

Interpreting biomagnetic fields of planar wave fronts in cardiac muscle.

The recent results of Holzer and co-workers reveal the existence of net currents that flow along the front of a planar wave propagating through cardiac tissue. This is an important contribution toward the better understanding of the physics of biomagnetic fields. However, although the authors claim their results reveal particular bidomain properties, we show in this short letter that the results allow multiple interpretations. For instance, cardiac anisotropy by itself may also explain the existence of a net current along the wave front. Based on our calculations, we suggest additional experiments that would allow distinguishing between these two explanations and thus provide further evidence on the basic physics behind cardiac biomagnetism.

Animals↗

Composition of approximated body-surface-potential-maps by utilizing a common 12-lead-ECG device.

A procedure is introduced that allows approximations of body surface potential maps (BSPM) to be obtained by utilizing commonly available digital 12-lead-electrocardiogram (ECG) systems. These Pseudo-BSPMs contain most of the averaged spatio-temporal information for a single characteristic beat. The underlying signal processing is described in detail. The algorithms including an online method verification may easily be added to the software of commercial 12-lead ECG devices.

Algorithms↗

Recent advances in magnetocardiography.

New developments in instrumentation, in clinical application, as well as in data analysis and visualization have provided new momentum to magnetocardiography (MCG). On one hand robust, easy to use and budget-priced MCG-systems entered the market and are applied to a multi-centred clinical study. On the other hand highly sophisticated vectormagnetometer systems with >300 SQUID sensors are opening new perspectives in electrocardiology research. Several parameters have recently been introduced to evaluate MCG-signals in order to support diagnosis, therapy follow-up and risk stratification. Particularly interesting is the renaissance of the Hosaka-Cohen-transformation which allows to visualize so-called pseudo current density (PCD) maps. A few examples are given to emphasise the value of these maps.

Animals↗

MCG to ECG source differences: measurements and a two-dimensional computer model study.

In this work we combine body surface potential map (BSPM) and magnetocardiogram (MCG) measurements with computer simulations in order to elucidate a recent thesis that claims the orthogonality of the main sources of MCG and ECG. Body surface currents and MCG pseudo currents are calculated from measured BSPM and MCG data, respectively. In contrast to the MCG-ECG source orthogonality thesis, we observe the main orientation of the BSPM currents and MCG pseudo currents to have similar axis during most of the depolarization R wave. In an attempt to explain such measurements we simulate a 2D transmural slice of the left ventricle in contact to a volume conductor. The main magnetic source currents along the wave front are indeed orthogonal to the extracellular electric current. However, fiber orientation inhomogeneity through the ventricular wall, volume conductor interface, wave front shape and extra- and intracellular potential distributions, all distort the symmetry of the current loops that contain the wave front currents. The resulting asymmetry rotates the main axis of the pseudo MCG currents away from the orthogonal axis of the body surface currents. Thus, the simulation results could solve the apparent contradiction between the orthogonal source theory and the observed similar ECG and MCG main current axis.

Body Surface Potential Mapping↗

Magnetocardiography for pharmacology safety studies requiring high patient throughput and reliability.

Recent guideline drafts of the International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH) underline the necessity to test nonantiarrhythmic drugs for their potential to prolong the QT or the corrected QT (QTc) interval. The implementation of these guidelines requires a large amount of ECG measurements on animals and humans in preclinical and clinical phases of the drug development process. We propose the use of magnetocardiography (MCG) as a complementary method with particular advantages in high-throughput studies, where signal quality and reliability are key factors. Our proposal is based on a review of recent MCG studies investigating the repolarization phase and results of methodological work assessing QT interval parameters from the MCG. The applicability of MCG for pre-clinical in-vivo studies is demonstrated by the ease of measurement in unrestrained non-anesthetized rabbits, guinea pigs, and hamsters..

Animals↗

Myocardial viability evaluation using magnetocardiography in patients with coronary artery disease.

OBJECTIVE: Magnetocardiography (MCG) has been used to risk stratify patients in terms of sudden death or to detect ischemia. We evaluated the potential of this technique to assess myocardial viability in coronary artery disease. METHODS: Fifteen patients aged 36-75 (median, 59) years with stable single-vessel disease (> or =70% diameter stenosis) and corresponding regional wall-motion abnormality underwent (1) echocardiography to evaluate wall motion, (2) Tl dipyridamole single-photon emission computed tomography to document perfusion and (3) quantitative F-fluorodeoxyglucose positron emission tomography to assess viability in 16 left-ventricular wall segments. MCG was performed in each patient using a shielded prototype 49-channel low-temperature superconducting quantum interference device (SQUID) system. Multiple time and area parameters were extracted automatically from each baseline-corrected data set. RESULTS: Eleven patients had prior myocardial infarction. In each patient, four to 12 (median, seven) segments were lesion dependent, totalling up to 117 out of 240 segments. A total of 88 segments (75%) were viable and 29 segments (25%) represented scar. Patients were divided into three categories: (a) no scar segments (five patients), (b) scar in one to three segments (six patients) and (c) scar in > or = four segments (four patients). The three MCG parameters with the best selectivity were identified using linear discriminant analysis with forward inclusion (P<0.10). The corresponding Fisher's discriminant functions classified all patients correctly (Wilks' lambda=0.079). CONCLUSION: Selected MCG parameters yielded accurate patient classification with regard to the extension of myocardial scar within the viable tissue in retrospect. These findings indicate that MCG may contribute to the assessment of myocardial viability. Further evaluation in a comprehensive multicenter study is warranted.

Adult↗

Methylation of L-trans-2,4-pyrrolidine dicarboxylate converts the glutamate transport inhibitor from a substrate to a non-substrate inhibitor.

The 4-methyl analogue of the potent inhibitor of CNS L-glutamate neurotransmitter transporters, L-trans-2,4-PDC, was synthesized via a 1,3-dipolar cycloaddition reaction sequence. The bioassays performed not only exhibit increased potency of the methylated derivative over L-trans-2,4-PDC, but also exhibit non-substrate properties at the rat forebrain synaptosomal glutamate transporter while the parent L-trans-2,4-PDC exhibits substrate properties. These results support two hypotheses developed for distinguishing the physiological properties of transport inhibitors based on molecular modeling studies, and are reported here.

Amino Acid Transport System X-AG↗