Michał Kozłowski

ORCID: 0000-0002-1943-9668
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About
Contact & Profiles
Research Areas
  • Context-Aware Activity Recognition Systems
  • Non-Invasive Vital Sign Monitoring
  • Risk and Safety Analysis
  • Air Traffic Management and Optimization
  • Indoor and Outdoor Localization Technologies
  • Aerospace Engineering and Applications
  • Healthcare Technology and Patient Monitoring
  • Fault Detection and Control Systems
  • Aerospace and Aviation Technology
  • Transportation Systems and Safety
  • Mobile Crowdsensing and Crowdsourcing
  • Mobile Health and mHealth Applications
  • ECG Monitoring and Analysis
  • Aviation Industry Analysis and Trends
  • Cardiac electrophysiology and arrhythmias
  • Hemodynamic Monitoring and Therapy

Imperial College London
2020-2021

University of Bristol
2018

Warsaw University of Technology
2015

Abstract This repository offers smart-home wearable accelerometer and Radio Signal Strength Indicator (RSSI) data acquired : 1) with low-cost hardware; 2) high-resolution location annotations; 3) from four UK homes. The are intended to evaluate RSSI-based indoor localisation methods activity measurements provided a user-worn device. A wrist worn records signatures which relayed number of receiving Access Points (AP) placed throughout the building. Upon reception packet, each AP measures RSSI...

10.1038/sdata.2018.168 article EN cc-by Scientific Data 2018-08-21

Continuous overnight vital signs monitoring would be ideal for patients suffering from epilepsy, where life-threatening hypoxemias can occur during sleep. However, the existing physiological systems suffer limitations in terms of usability factors and/or limited information signals being acquired. The body location system is a crucial consideration, seldom addressed by wider community. This article presents proof-of-concept, neck-worn photoplethysmography system, which was developed and...

10.1109/tim.2021.3083415 article EN cc-by IEEE Transactions on Instrumentation and Measurement 2021-01-01

This paper presents Vesta, a digital health platform composed of smart home in box for data collection and machine learning based analytic system deriving indicators using activity recognition, sleep analysis indoor localization. has been deployed the homes 40 patients undergoing heart valve intervention United Kingdom (UK) as part EurValve project, measuring well-being before after their operation. In this work cohort 20 are analyzed, 2 analyzed detail example case studies. A quantitative...

10.1016/j.future.2020.07.046 article EN cc-by Future Generation Computer Systems 2020-07-25

10.3850/978-981-11-2724-3_0358-cd article EN Proceedings of the 29th European Safety and Reliability Conference (ESREL) 2019-01-01

The use of ECG in cardiovascular health monitoring is well established. signal collected using specialised equipment, capturing the electrical discharge properties human heart. This produces a well-structured trace, which can be characterised through its peaks and troughs. then used by clinicians to diagnose cardiac disorders. However, as with any measuring output experience deterioration resulting from noise. happen due environmental interference, issues or equipment failure, necessitating...

10.1109/embc46164.2021.9629495 article EN 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2021-11-01
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