COMSOL Magnetic Drug Targeting — Biomedical Instrumentation & Clinical Sensing

Abstract — COMSOL Magnetic Drug Targeting

Comsol Magnetic Drug Targeting: Biomedical Engineering, Medical Electronics & Bio-Signal Modeling Integrated Clinical Investigation: Bio-Sensors · Analog Front-Ends (AFE) · Diagnostic Waveforms · DSP Algorithms · ~5023 Words Chapter 1: Electrophysiological Foundations, Action Potentials & Clinical Significance Magnetic nanoparticles offer numerous applications in medical diagnosis and therapy. One example of a possible application is the so-called Magnetic Drug Targeting (MDT), which is a therapeutic approach in cancer therapy. Thereby, the cancer drug is bounded to magnetic nanoparticles, which can be pulled into the tumorous tissue by an external magnetic field. This therapeutic approach enables a local chemotherapeutic treatment, which increases the dosage of the drug in the tumorous tissue, while side-effects for the patients get reduced. In MDT, the magnetic nanoparticles are injected into the aorta in the vicinity of the tumor. The magnetic force due to the external magnetic field which distracts the particles is called magnetophoresis force. This force depends on several parameters, like the magnitude or susceptibility of the magnetic nanoparticles, the velocity or the density of the volume flow, or the gradient of the external applied magnetic flux density. To consider all the mentioned parameters, a simulation setup was implemented in COMSOL Multiphysics®. Since the flow within an aorta can be assumed as laminar, the Laminar Flow (spf) interface from the Subsurface Flow Module with a stationary study was applied. Furthermore, to include the magnetic particles in the flow, the Particle Tracing for Fluid Flow (fpt) interface from the Particle Tracing Module with a time-dependent study was set up. To accomplish the movement of the particles, the velocity profile from the stationary study, had to be used as a hydrodynamic drag force. Therefore, the whole simulation consists of two studies. A 2D geometry was chosen, keeping the computational effort low. To examine the laminar flow at a branch, a symmetrical Y-shaped geometry was accomplished in which the fluid moved from the left to the right side (Fig 1). As expected, the velocity in the split paths was nearly halved and no turbulence was observed. Moreover, the mesh size was optimized by reducing it, until the velocity profile got parabolic (Fig. 2). Subsequently, the particles were included and their density and magnitude were specified. As aforementioned, the movement of the particles was implemented by using a time-dependent study considering the parabolic velocity profile. At every time step, one particle was released and its trajectory was studied via an animation video. Firstly, the particle movement without any external force was observed. As expected, the particles divided into the branches. Next, a gravitational force was applied. For the presented setup the gravitational force pulled the particles to the bottom branch. Additionally, a magnetophoresis force was considered short before the intersection.

Sensor Interfacing & Analog Front-End Conditioning

Since the magnetophoresis force depends on the gradient of the magnetic field, the external magnetic field H was chosen to Hy = H0 (y c[1/m]). The constant c was observed in a parameter sweep. The magnetophoresis force was able to pull the particles in the upper branch (Fig. 3). With the observed simulation results, a magnet for steering magnetic particles through the cardiovascular system in the tumor, will be designed in future studies.

Bio-Signal Waveform Analysis & Simulation Findings

Section 1.1: Electrophysiological Foundations, Action Potentials & Clinical Significance of Comsol Magnetic Drug Targeting. The clinical foundation of Comsol Magnetic Drug Targeting relies on detecting micro-volt to milli-volt ionic potential gradients generated across cell membranes during physiological depolarization and repolarization cycles. At resting states, biological cells maintain polarized transmembrane potentials (-70 mV to -90 mV) governed by the Nernst-Goldman-Hodgkin-Katz equation reflecting differential permeabilities to Na+, K+, and Cl- ions. In cardiac electrophysiology, rhythmic sinoatrial (SA) node pacemaker discharges propagate through the atrioventricular (AV) bundle and Purkinje network, generating surface electrocardiogram (ECG) waveforms characterized by P-waves (atrial depolarization), QRS complexes (ventricular depolarization), and T-waves (ventricular repolarization). In neural monitoring, synchronized postsynaptic pyramidal neuron activity produces electroencephalogram (EEG) rhythms spanning Delta (0.5-4 Hz), Theta (4-8 Hz), Alpha (8-13 Hz), Beta (13-30 Hz), and Gamma (> 30 Hz) bands. Accurate diagnostic monitoring requires resolving these delicate potentials in the presence of severe baseline wander, electromyographic (EMG) motion artifacts, and 50/60 Hz powerline electromagnetic interference.

Scope & Clinical Applications

• Real-time multi-parameter vital signs telemetry (ECG, Heart Rate, SpO2, Temperature, Respiration)
• Low-noise Analog Front-End (AFE) conditioning with active Driven Right Leg (DRL) 50 Hz cancellation
• Digital signal processing in MATLAB: Pan-Tompkins QRS detection, FIR/IIR notch, and Continuous Wavelet Transforms
• Finite element tissue bio-electromagnetics and orthopedic mechanical simulations in COMSOL & ANSYS
• Complete Arduino firmware .INO sketches, circuit schematics, and university dissertation reports