Jan Theunis

Jan Theunis

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2012 in Atmospheric Environment
Verified
Journal Article
Closed access
EDEvi Dons
Evi Dons
Luc Int PanisLuc Int Panis
Luc Int Panis
MPMartine Van Poppel
Martine Van Poppel
JTJan Theunis
Jan Theunis
GWGeert Wets
Geert Wets

1 July 2011 in Atmospheric Environment
Verified
Journal Article
Closed access
EDEvi Dons
Evi Dons
Luc Int PanisLuc Int Panis
Luc Int Panis
MPMartine Van Poppel
Martine Van Poppel
JTJan Theunis
Jan Theunis
HWHanny Willems
Hanny Willems
GWGeert Wets
Geert Wets

1 March 2015 in Atmospheric Environment
Verified
Journal Article
Closed access
JBJoris Van Den Bossche
Joris Van Den Bossche
JPJan Peters
Jan Peters
JVJan Verwaeren
Jan Verwaeren
DBDick Botteldooren
Dick Botteldooren
JTJan Theunis
Jan Theunis
Bernard De BaetsBernard De Baets
Bernard De Baets

6 June 2019 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
JBJoren Buekers
Joren Buekers
JTJan Theunis
Jan Theunis
Patrick De BoeverPatrick De Boever
Patrick De Boever
AVAnouk Vaes
Anouk Vaes
MKMaud Koopman
Maud Koopman
Jean-Marie AertsJean-Marie Aerts
Jean-Marie Aerts
Background: Chronic obstructive pulmonary disease (COPD) patients can suffer from low blood oxygen concentrations. Peripheral blood oxygen saturation (SpO2), as assessed by pulse oximetry, is commonly measured during the day using a spot check, or continuously during one or two nights to estimate nocturnal desaturation. Sampling at this frequency may overlook natural fluctuations in SpO2. Objective: This study used wearable finger pulse oximeters to continuously measure SpO2 during daily home routines of COPD patients and assess natural SpO2 fluctuations. Methods: A total of 20 COPD patients wore a WristOx2 pulse oximeter for 1 week to collect continuous SpO2 measurements. A SenseWear Armband simultaneously collected actigraphy measurements to provide contextual information. SpO2 time series were preprocessed and data quality was assessed afterward. Mean SpO2, SpO2 SD, and cumulative time spent with SpO2 below 90% (CT90) were calculated for every (1) day, (2) day in rest, and (3) night to assess SpO2 fluctuations. Results: A high percentage of valid SpO2 data (daytime: 93.27%; nocturnal: 99.31%) could be obtained during a 7-day monitoring period, except during moderate-to-vigorous physical activity (MVPA) (67.86%). Mean nocturnal SpO2 (89.9%, SD 3.4) was lower than mean daytime SpO2 in rest (92.1%, SD 2.9; P<.001). On average, SpO2 in rest ranged over 10.8% (SD 4.4) within one day. Highly varying CT90 values between different nights led to 50% (10/20) of the included patients changing categories between desaturator and nondesaturator over the course of 1 week. Conclusions: Continuous SpO2 measurements with wearable finger pulse oximeters identified significant SpO2 fluctuations between and within multiple days and nights of patients with COPD. Continuous SpO2 measurements during daily home routines of patients with COPD generally had high amounts of valid data, except for motion artifacts during MVPA. The identified fluctuations can have implications for telemonitoring applications that are based on daily SpO2 spot checks. CT90 values can vary greatly from night to night in patients with a nocturnal mean SpO2 around 90%, indicating that these patients cannot be consistently categorized as desaturators or nondesaturators. We recommend using wearable sensors for continuous SpO2 measurements over longer time periods to determine the clinical relevance of the identified SpO2 fluctuations.

24 December 2012 in Sensors
Verified
Journal Article
Open access
PDF file
BEBart Elen
Bart Elen
JPJan Peters
Jan Peters
MPMartine Van Poppel
Martine Van Poppel
NBNico Bleux
Nico Bleux
JTJan Theunis
Jan Theunis
ASArnout Standaert
Arnout Standaert
Fixed air quality stations have limitations when used to assess people's real life exposure to air pollutants. Their spatial coverage is too limited to capture the spatial variability in, e.g., an urban or industrial environment. Complementary mobile air quality measurements can be used as an additional tool to fill this void. In this publication we present the Aeroflex, a bicycle for mobile air quality monitoring. The Aeroflex is equipped with compact air quality measurement devices to monitor ultrafine particle number counts, particulate mass and black carbon concentrations at a high resolution (up to 1 second). Each measurement is automatically linked to its geographical location and time of acquisition using GPS and Internet time. Furthermore, the Aeroflex is equipped with automated data transmission, data pre-processing and data visualization. The Aeroflex is designed with adaptability, reliability and user friendliness in mind. Over the past years, the Aeroflex has been successfully used for high resolution air quality mapping, exposure assessment and hot spot identification.

1 August 2014 in Atmospheric Environment
Verified
Journal Article
Closed access
JPJan Peters
Jan Peters
JBJoris Van Den Bossche
Joris Van Den Bossche
MRMatteo Reggente
Matteo Reggente
MPMartine Van Poppel
Martine Van Poppel
Bernard De BaetsBernard De Baets
Bernard De Baets
JTJan Theunis
Jan Theunis