- Diamond and Carbon-based Materials Research
- Atomic and Subatomic Physics Research
- High-pressure geophysics and materials
- Force Microscopy Techniques and Applications
- Traumatic Brain Injury and Neurovascular Disturbances
- Artificial Intelligence in Healthcare and Education
- Cerebrovascular and Carotid Artery Diseases
- Advanced Neural Network Applications
- Explainable Artificial Intelligence (XAI)
- Machine Learning in Healthcare
- Optical Imaging and Spectroscopy Techniques
- Intracranial Aneurysms: Treatment and Complications
- COVID-19 diagnosis using AI
- Retinal Imaging and Analysis
- Mechanical and Optical Resonators
- Non-Invasive Vital Sign Monitoring
- Acute Ischemic Stroke Management
- Carbon Nanotubes in Composites
- Cerebrospinal fluid and hydrocephalus
- Healthcare Technology and Patient Monitoring
- NMR spectroscopy and applications
- Advanced MRI Techniques and Applications
- Sepsis Diagnosis and Treatment
- Advanced Fiber Laser Technologies
- Advanced NMR Techniques and Applications
University of Zurich
2023-2024
University Hospital of Zurich
2022-2024
ETH Zurich
2014-2023
FHNW University of Applied Sciences and Arts
2022
Weatherford College
2022
We present a new method for automatic detection of peaks in noisy periodic and quasi-periodic signals. The method, called multiscale-based peak (AMPD), is based on the calculation analysis local maxima scalogram, matrix comprising scale-dependent occurrences maxima. usefulness proposed shown by applying AMPD algorithm to simulated real-world
Quantum sensing takes advantage of well controlled quantum systems for performing measurements with high sensitivity and precision. We have implemented a concept arbitrary frequency resolution, independent the qubit probe limited only by stability an external synchronization clock. Our makes use lock-in detection to continuously signal interest. Using electronic spin single nitrogen vacancy center in diamond, we demonstrate oscillating magnetic fields resolution 70 uHz over MHz bandwidth....
Explainable artificial intelligence (XAI) has emerged as a promising solution for addressing the implementation challenges of AI/ML in healthcare. However, little is known about how developers and clinicians interpret XAI what conflicting goals requirements they may have. This paper presents findings longitudinal multi-method study involving 112 co-designing an clinical decision support system. Our identifies three key differences between developer clinician mental models XAI, including...
Multipulse sequences based on Carr-Purcell decoupling are frequently used for narrow-band signal detection in single spin magnetometry. We have analyzed the behavior of multipulse sensing under real-world conditions, including finite pulse durations and presence detunings. find that these non-idealities introduce harmonics to filter function, allowing additional frequencies pass filter. In particular, we XY family can generate signals at 2fac, 4fac 8fac their odd subharmonics, where fac is...
Abstract We realize a two-qubit sensor designed for achieving high-spectral resolution in quantum sensing experiments. Our consists of an active “sensing qubit” and long-lived “memory qubit”, implemented by the electronic nitrogen-15 nuclear spins nitrogen-vacancy center diamond, respectively. Using state storage times up to 45 ms, we demonstrate spectroscopy external ac signals with line width 19 Hz (∼2.9 ppm) carbon-13 magnetic resonance 190 (∼74 ppm). This represents 100-fold improvement...
We report on Fourier spectroscopy experiments performed with near-surface nitrogen-vacancy centers in a diamond chip. By detecting the free precession of nuclear spins rather than applying multipulse quantum sensing protocol, we are able to unambiguously identify NMR species devoid harmonics. further show that by engineering different Hamiltonians during precession, hyperfine coupling parameters as well Larmor frequency can be selectively measured high precision (here 5 digits). The...
ICU Cockpit: a secure, fast, and scalable platform for collecting multimodal waveform data, online historical data visualization, validation of algorithms in the intensive care unit. We present network software services that continuously stream waveforms from beds to databases web-based user interface. Machine learning process streams send outputs The architecture capabilities are described. Since 2016, has processed over 89 billion points (N = 979 patients) 200 signals (0.5-500 Hz)...
OBJECTIVE In neurocritical care, data from multiple biosensors are continuously measured, but only sporadically acknowledged by the attending physicians. contrast, machine learning (ML) tools can analyze large amounts of continuously, taking advantage underlying information. However, performance such ML-based solutions is limited different factors, for example, patient motion, manipulation, or, as in case external ventricular drains (EVDs), drainage CSF to control intracranial pressure...
We investigate the application of amplitude-shaped control pulses for enhancing time and frequency resolution multipulse quantum sensing sequences. Using electronic spin a single nitrogen-vacancy center in diamond up to 10 000 coherent microwave with cosine square envelope, we demonstrate 0.6-ps timing interpulse delay. This represents refinement by over 3 orders magnitude compared 2-ns hardware sampling. apply method detection external ac magnetic fields nuclear resonance signals ^{13}C...
We report on precise localization spectroscopy experiments of individual 13C nuclear spins near a central electronic sensor spin in diamond chip. By detecting the free precession signals rapidly switchable external magnetic fields, we retrieve three-dimensional spatial coordinates with sub-Angstrom resolution and for distances beyond 10 Angstroms. further show that Fermi contact contribution can be constrained by measuring g-factor enhancement. The presented method will useful mapping...
Extending magnetic resonance imaging to the atomic scale has been a long-standing aspiration, driven by prospect of directly mapping positions in molecules with three-dimensional spatial resolution. We report detection individual, isolated proton spins nitrogen-vacancy (NV) center diamond chip covered an inorganic salt. The single-proton identity was confirmed Zeeman effect and quantum coherent rotation weakly coupled nuclear spin. Using hyperfine field NV as gradient, we determined...
We report hyperpolarization of the electronic spins associated with substitutional nitrogen defects in bulk diamond crystals. Hyperpolarization is achieved by optical pumping vacancy centers followed rapid cross relaxation at energy level matching condition a 51 mT bias field. The maximum observed donor spin polarization $0.9%$, corresponding to an enhancement 25 compared thermal Boltzmann polarization. A further accumulation impeded anomalous saturation effect that we attribute charge state...
Detection of delayed cerebral ischemia (DCI) is challenging in comatose patients with poor-grade aneurysmal subarachnoid hemorrhage (aSAH). Brain tissue oxygen pressure (PbtO2) monitoring may allow early detection its occurrence. Recently, a probe for combined measurement intracranial (ICP) and intraparenchymal near-infrared spectroscopy (NIRS) has become available. In this pilot study, the parameters PbtO2, Hboxy, Hbdeoxy, Hbtotal rSO2 were measured parallel evaluated their potential to...
We realize a two-qubit sensor designed for achieving high spectral resolution in quantum sensing experiments. Our consists of an active "sensing qubit" and long-lived "memory qubit", implemented by the electronic nitrogen-15 nuclear spins nitrogen-vacancy center diamond, respectively. Using state storage times up to 45 ms, we demonstrate spectroscopy external ac signals with line width 19 Hz (~2.9 ppm) carbon-13 magnetic resonance (NMR) 190 (~ 74 ppm). This represents 100-fold improvement...
Patient monitoring in intensive care units, although assisted by biosensors, needs continuous supervision of staff. To reduce the burden on staff members, IT infrastructures are built to record data and develop clinical decision support systems. These systems, however, vulnerable artifacts (e.g. muscle movement due ongoing treatment), which often indistinguishable from real potentially dangerous signals. Video recordings could facilitate reliable classification biosignals using object...
Background: Accurate longitudinal risk prediction for DCI (delayed cerebral ischemia) occurrence after subarachnoid hemorrhage (SAH) is essential clinicians to administer appropriate and timely diagnostics, thereby improving treatment planning outcome. This study aimed develop an improved model evaluate its performance in predicting between day 4 14 aneurysm rupture. Methods: Two classification models were trained: (1) a static based on routinely collected demographics SAH grading scores (2)...
Nuclear magnetic resonance (NMR) spectroscopy is a powerful technique for analyzing the structure and function of molecules, performing three-dimensional imaging spin density. At heart NMR spectrometers detection electromagnetic radiation, in form free induction decay (FID) signal, generated by nuclei precessing around an applied field. While conventional requires signals from 1e12 or more nuclei, recent advances sensitive magnetometry have dramatically lowered this number to level where few...
Abstract Background Blood pressure variability (BPV) is associated with outcome after endovascular thrombectomy in acute large vessel occlusion stroke. We aimed to provide the optimal sampling frequency and BPV index for prediction by using high-resolution blood (BP) data. Methods Patient characteristics, 3-month outcome, BP values measured intraarterially at 1 Hz up 24 h were extracted from 34 patients treated a tertiary care center neurocritical unit. Outcome was dichotomized (modified...
Abstract Explainable AI (XAI) is considered the number one solution for overcoming implementation hurdles of AI/ML in clinical practice. However, it still unclear how clinicians and developers interpret XAI (differently) whether building such systems achievable or even desirable. This longitudinal multi-method study queries (n=112) as they co-developed DCIP – an ML-based prediction system Delayed Cerebral Ischemia. The resulting framework reveals that ambidexterity between exploration...
5 nanometer sized detonation nanodiamonds (DNDs) are studied as potential single-particle labels for distance measurements in biomolecules. Nitrogen-vacancy (NV) defects the crystal lattice can be addressed through their fluorescence and optically-detected magnetic resonance (ODMR) of a single particle recorded. To achieve measurements, we propose two complementary approaches based on spin-spin coupling or optical super-resolution imaging. As first approach, try to measure mutual...