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Michael J Rooijakkers

Michael J Rooijakkers
Bloomlife

PhD

About

37
Publications
12,211
Reads
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546
Citations
Additional affiliations
October 2015 - present
Bloomlife
Position
  • Lead Signal Processing
Description
  • I lead the design van validation of new algorithms aimed at long-term ambulatory monitoring of the mother and fetus during pregnancy in a home setting.
September 2010 - October 2017
Eindhoven University of Technology
Position
  • PhD Student
Description
  • My work within the SEBAN project entails creating and optimizing algorithms for fetal health monitoring with a very low complexity to enable continuous ambulatory monitoring in an at-home setting.
Education
September 2002 - August 2010
Eindhoven University of Technology
Field of study
  • Electrical Engineering

Publications

Publications (37)
Article
Full-text available
Monitoring the progression of maternal uterine activity provides important prognostic information during pregnancy and parturition. Currently used methods, however, are unsuitable for long-term observation of uterine activity. The abdominally measured electrohysterogram (EHG) provides a non-invasive alternative to the existing methods for long-term...
Article
Full-text available
Motion artifacts (MA) have long been a problem in biopotential measurements. Adaptive filtering is widely used for optimal noise removal in many biomedical applications. However, the existing adaptive filtering methods involve the use of additional sensors, limiting the applicability of adaptive filtering for MA reduction. In the present study, a n...
Article
Full-text available
Evaluation of fetal motility can give insight in fetal health, as a strong decrease can be seen as a precursor to fetal death. Typically, the assessment of fetal health by fetal movement detection relies on the maternal perception of fetal activity. The percentage of detected movements is strongly subject dependent and with undivided attention of t...
Article
Full-text available
Noninvasive fetal health monitoring during pregnancy has become increasingly important in order to prevent complications, such as fetal hypoxia and preterm labor. With recent advances in signal processing technology using abdominal electrocardiogram (ECG) recordings, ambulatory fetal monitoring throughout pregnancy is now an important step closer t...
Article
Full-text available
Fetal movement counting can provide valuable information on the fetal health, as a strong decrease in the number of movements can be seen as a precursor to fetal death. Typically, assessment of fetal health by fetal movement counting relies on the maternal perception of fetal activity. The percentage of detected movements is strongly subject depend...
Chapter
With the availability of new and improved health care technologies suitable for at-home use, clinical diagnostics and care have, in recent years, started to make a slow transition from healthcare centers to the home. This transition promises to reduce the strain on the healthcare system, while at the same time offering patients the convenience of o...
Article
Monitoring the progression of uterine activity provides important prognostic information during pregnancy and delivery. Currently, uterine activity monitoring relies on direct or indirect mechanical measurements of intrauterine pressure (IUP), which are unsuitable for continuous long-term observation. The electrohysterogram (EHG) provides a non-inv...
Article
This letter presents a 5-channel unipolar fetal electrocardiogram readout IC for monitoring the health of a fetus during pregnancy. Each readout channel includes an instrumentation amplifier, a programable gain amplifier and a successive approximation register ADC. A unipolar, common half branch reuse topology is used to achieve low noise, low powe...
Conference Paper
Full-text available
Preterm birth (PTB), or birth before the completion of 37 weeks of pregnancy, is the leading cause of neonatal morbidity and mortality and the second-leading cause of death in children under the age of five. The importance of early intervention to prevent and reduce the impact of PTB is clear. However, no solution is currently available to easily a...
Poster
Full-text available
Title* Early labour detection in laboratory and free-living conditions using combined electrohysterography and heart rate data Objective * Detection and management of complications such as preterm birth, could be improved by early labour detection. In our previous work, we showed that specific patterns in physiological data such as electrohysterogr...
Article
Detection and management of complications such as preterm birth, could be improved by early labour detection. In our previous work, we showed that specific patterns in physiological data such as electrohysterography (EHG) and heart rate (HR) could be used to build predictive statistical models able to detect labour. In this work we highlight how ph...
Conference Paper
Full-text available
In this paper we show early evidence of the feasibility of detecting labour during pregnancy, non-invasively and in free-living. In particular, we present machine learning models aiming at dealing with the challenges of unsupervised, free-living data collection, such as identifying periods of high quality data and detecting physiological changes as...
Article
Full-text available
In this paper we propose a method combining electrohysterography (EHG) and heart rate (HR) data to detect labour. Labour detection may be helpful in providing just in time care and avoiding unnecessary antenatal visits. Given specific changes in physiological data such as EHG and HR highlighted from previous literature in correspondence of uterine...
Article
Full-text available
In this paper, we propose a method to improve accuracy of fetal kicks detection during pregnancy using a single wearable device placed on the abdomen. Monitoring fetal wellbeing is key in modern obstetrics as it is routinely used as a proxy to fetal movement. However, accurate, nonin-vasive, long-term monitoring of fetal movement is challenging, es...
Article
Full-text available
This paper presents a noise-reconfigurable resistive feedback amplifier with current-reuse technique for fetal ECG monitoring. The proposed amplifier allows for both tuning of the noise level and changing the power consumption according to the signal properties, minimizing the total power consumption while satisfying all application requirements. T...
Article
Full-text available
In this paper, we propose an algorithm that classifies whether a generated cardiac arrhythmia alarm is true or false. The large number of false alarms in intensive care is a severe issue. The noise peaks caused by alarms can be high and in a noisy environment nurses can experience stress and fatigue. In addition, patient safety is compromised becau...
Conference Paper
Monitoring fetal wellbeing is key in modern obstetrics. While fetal movement is routinely used as a proxy to fetal wellbeing, accurate, noninvasive, long-term monitoring of fetal movement is challenging. A few accelerometer-based systems have been developed in the past few years, to tackle common issues in ultrasound measurement and enable remote,...
Article
Full-text available
Monitoring fetal wellbeing is key in modern obstetrics. While fetal movement is routinely used as a proxy to fetal wellbeing, accurate, noninvasive, long-term monitoring of fetal movement is challenging. A few accelerometer-based systems have been developed in the past few years, to tackle common issues in ultrasound measurement and enable remote,...
Article
Full-text available
We present a novel algorithm for classifying true and false alarms of five life-threatening arrhythmias in intensive care. This algorithm was entered in the Phys-ioNet/Computing in Cardiology Challenge 2015 Reducing False Arrhythmia Alarms in the ICU. The algorithm performs a binary classification of the alarms for a specified arrhythmia type by co...
Article
Full-text available
We present a novel algorithm for classifying true and false alarms of five life-threatening arrhythmias in intensive care. This algorithm was entered in the Phys-ioNet/Computing in Cardiology Challenge 2015 Reducing False Arrhythmia Alarms in the ICU. The algorithm performs a binary classification of the alarms for a specified arrhythmia type by co...
Conference Paper
Full-text available
We present a novel algorithm for classifying true and false alarms of five life-threatening arrhythmias in intensive care. This algorithm was entered in the PhysioNet/Computing in Cardiology Challenge 2015 Reducing False Arrhythmia Alarms in the ICU. The algorithm performs a binary classification of the alarms for a specified arrhythmia type by com...
Conference Paper
This paper presents a three-channel frontend system for fetal monitoring applications which includes three amplification chains, an ADC and all power management circuitry needed to feed the different building blocks from a single 1.4V supply. The specifications of the proposed system (0.38μVrms equivalent input noise, 74.5dB dynamic range and 0.5 t...
Article
This paper presents a low-voltage current-reuse chopper-stabilized frontend amplifier for fetal ECG monitoring. The proposed amplifier allows for individual tuning of the noise in each measurement channel, minimizing the total power consumption while satisfying all application requirements. The low-voltage current reuse topology exploits power opti...
Conference Paper
This paper proposes a multiple-channel frontend system with current reuse for fetal monitoring applications. The structure and specifications of the proposed frontend system are determined while taking into consideration the algorithms used for fetal electrocardiogram (fECG) detection. Two amplifier topologies based on a middle rail current source/...
Article
Monitoring the progression of maternal uterine activity provides important prognostic information during pregnancy and parturition. Currently used methods for intrauterine pressure (IUP) measurement are unsuitable for long-term observation of uterine activity. The abdominally measured electrohysterogram (EHG) provides a non-invasive alternative to...
Conference Paper
This paper presents a low-power low-noise amplifier for neural recording applications. A single-stage current-reuse telescopic topology is proposed to achieve high DC gain and improve the noise efficiency factor (NEF) while allowing the amplifier to be scaled for high bandwidth sensing applications and/or to achieve lower thermal noise floor. The d...
Conference Paper
This paper proposes a low-power noise scalable instrumentation amplifier (IA) for fetal monitoring applications. The noise specification of the IA is made adaptive to the peak-peak value of the fetal electrocardiography (fECG) signal, which varies for different gestational age and measurement settings. Contrary to the currently available point solu...
Article
Full-text available
Background: Analysis of the electrohysterogram (EHG) is a promising diagnostic tool for preterm delivery. For the introduction in the clinical practice, analysis of the EHG should be reliable and automated to guarantee reproducibility. Study goal: Investigating the feasibility of automated analysis of the EHG conduction velocity (CV) for detecti...
Article
Full-text available
Non-invasive fetal health monitoring during pregnancy is becoming increasingly important because of the increasing number of high-risk pregnancies. Despite recent advances in signal-processing technology, which have enabled fetal monitoring during pregnancy using abdominal electrocardiogram (ECG) recordings, ubiquitous fetal health monitoring is st...
Article
Time-frequency analysis of heart rate variability (HRV) provides relevant clinical information. However, time-frequency analysis is very sensitive to artefacts. Artefacts that are present in heart rate recordings may be corrected, but this reduces the variability in the signal and therefore adversely affects the accuracy of calculated spectral esti...
Article
Full-text available
Non-invasive fetal health monitoring during pregnancy has become increasingly important. Recent advances in signal processing technology have enabled fetal monitoring during pregnancy, using abdominal ECG recordings. Ubiquitous ambulatory monitoring for continuous fetal health measurement is however still unfeasible due to the computational complex...
Article
Monitoring of the heart rate can provide vital clinical information, but can, in specific situations, be complicated due to the low signal to noise ratio (SNR) of the available physiological signals. Several methods to enhance the SNR are known from literature, e.g. wavelet-based enhancement methods, but most of these methods require a priori infor...

Projects

Projects (2)
Project
Bloomlife is a digital health startup focusing on helping expecting mothers have a healthy pregnancy. We are taking a data driven approach, combining data collected in clinical settings as well as consumer generated data to help shedding light on many poorly understood links between physiological changes naturally occurring during pregnancy, behavior and pregnancy outcomes. Some of the applications we are working on are contraction detection (see our first product: https://bloomlife.com/), fetal movement monitoring, labour detection & maternal health. We are particularly interested in the opportunities arising from crowdsourcing clinical research, by providing consumers with clinical grade tools and data and analyzing such data at a scale beyond what is possible in regular clinical studies. All our published research is available in this project.