Enabling Robust Radar-based Localization and Vital Signs Monitoring in Multipath Propagation Environments

Objective: Over the last two decades, radar-based contactless monitoring of vital signs (heartbeat and respiration rate) has raised increasing interest as an emerging and added value to health care. However, until now, the flaws caused by indoor multipath propagation formed a fundamental hurdle for the adoption of such technology in practical...

Assessing the signal quality of electrocardiograms from varied acquisition sources: A generic machine learning pipeline for model generation

Background and objective: Long-term electrocardiogram monitoring comes at the expense of signal quality. During unconstrained movements, the electrocardiogram is often corrupted by motion artefacts, which can lead to inaccurate physiological information. In this situation, automated quality assessment methods are useful to increase the...

Using Biosensors and Digital Biomarkers to Assess Response to Cardiac Rehabilitation: Observational Study

Background: Cardiac rehabilitation (CR) is known for its beneficial effects on functional capacity and is a key component within current cardiovascular disease management strategies. In addition, a larger increase in functional capacity is accompanied by better clinical outcomes. However, not all patients respond in a similar way to CR....

Short-term exercise progression of cardiovascular patients throughout cardiac rehabilitation: An observational study

Cardiac rehabilitation (CR) is a highly recommended secondary prevention measure for patients with diagnosed cardiovascular disease. Unfortunately, participation rates are low due to enrollment and adherence issues. As such, new CR delivery strategies are of interest, as to improve overall CR delivery. The goal of the study was to obtain a...

Wearable monitoring and interpretable machine learning can objectively track progression in patients during cardiac rehabilitation

Cardiovascular diseases (CVD) are often characterized by their multifactorial complexity. This makes remote monitoring and ambulatory cardiac rehabilitation (CR) therapy challenging. Current wearable multimodal devices enable remote monitoring. Machine learning (ML) and artificial intelligence (AI) can help in tackling multifaceted datasets....

A 0.6V 3.8μW ECG/bio-impedance monitoring IC for disposable health patch in 40nm CMOS

Simultaneous measurement of Electrocardiogram (ECG) and bio-impedance (BioZ) via disposable health patches is desired for patients suffering from chronic cardiovascular and respiratory diseases. However, a sensing IC must consume ultra-low power under a sub-volt supply to comply with miniaturized and disposable batteries. This work presents...

Active Electrodes for Wearable EEG Acquisition: Review and Design Methodology

Active electrodes (AEs), i.e., electrodes with built-in readout circuitry, are increasingly being implemented in wearable healthcare and lifestyle applications due to AEs' robustness to environmental interference. An AE locally amplifies and buffers μV-level EEG signals before driving any cabling. The low output impedance of an AE mitigates...

A 15-Channel digital active electrode system for multi-parameter biopotential measurement

This paper presents a digital active electrode (DAE) system for multi-parameter biopotential signal acquisition in portable and wearable devices. It is built around an IC that performs analog signal processing and digitization with the help<br/>of on-chip instrumentation amplifiers, a 12 bit ADC and a digital interface. Via a standard bus, up to...

A 160μW 8-Channel Active Electrode System for EEG Monitoring

This paper presents an active electrode system for gel-free biopotential EEG signal acquisition. The system consists of front-end chopper amplifiers and a back-end common-mode feedback (CMFB) circuit. The front-end AC-coupled chopper amplifier employs input impedance boosting and digitally-assisted<br/>offset trimming. The former increases the...

Biologically inspired autonomous agent navigation using an integrated polarization analyzing CMOS image sensor

The navigational strategies of insects using skylight polarization are interesting for applications in autonomous agent navigation because they rely on very little information for navigation. A polarization navigation sensor using the Stokes parameters to determine the orientation is presented. The working principle of the sensor is based on...

Ballistic electron transport through magnetic domain walls

Hong Kong: Een studie van de huisvestingscyclus

Deze reis is door de drie organisatoren "Hong Kong 96" genoemd. Deze datering is inderdaad wenselijk, we hebben immers nog het Hong Kong mogen zien dat volop in de running is om een belangrijke plaats in dit deel van de wereld in te nemen. De speculaties over het hoe en wat na 1997 waren gedurende deze reis natuurlijk niet van de lucht zowel bij...