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Balasundaram Kadirvelu
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Accuracy and acceptability of wearable motion tracking for inpatient monitoring using smartwatches
C Auepanwiriyakul, S Waibel, J Songa, P Bentley, AA Faisal
Sensors 20 (24), 7313, 2020
272020
Inferring structural connectivity using Ising couplings in models of neuronal networks
B Kadirvelu, Y Hayashi, SJ Nasuto
Scientific reports 7 (1), 8156, 2017
242017
Variation in global COVID-19 symptoms by geography and by chronic disease: A global survey using the COVID-19 Symptom Mapper
B Kadirvelu, G Burcea, JK Quint, CE Costelloe, AA Faisal
EClinicalMedicine 45, 2022
162022
Wearable full-body motion tracking of activities of daily living predicts disease trajectory in Duchenne muscular dystrophy
V Ricotti, B Kadirvelu, V Selby, R Festenstein, E Mercuri, T Voit, AA Faisal
Nature medicine 29 (1), 95-103, 2023
92023
A wearable motion capture suit and machine learning predict disease progression in Friedreich’s ataxia
B Kadirvelu, C Gavriel, S Nageshwaran, JPK Chan, S Nethisinghe, ...
Nature Medicine 29 (1), 86-94, 2023
92023
Accuracy and acceptability of wearable motion tracking smartwatches for inpatient monitoring
C Auepanwiriyakul, S Waibel, J Songa, P Bentley, AA A. Faisal
medRxiv, 2020.07. 24.20160663, 2020
52020
P. 203Towards high-resolution clinical digital biomarkers for Duchenne muscular dystrophy
V Ricotti, B Kadirvelu, V Selby, T Voit, A Faisal
Neuromuscular Disorders 29, S108, 2019
32019
Mindcraft, a Mobile Mental Health Monitoring Platform for Children and Young People: Development and Acceptability Pilot Study
B Kadirvelu, T Bellido Bel, X Wu, V Burmester, S Ananth, ...
JMIR Formative Research 7, e44877, 2023
22023
P. 205Daily life digital biomarkers for longitudinal monitoring of Duchenne muscular dystrophy with wearable sensors
V Ricotti, B Kadirvelu, C Auepanwiriyakul, S Zeng, V Selby, T Voit, ...
Neuromuscular Disorders 29, S109, 2019
22019
Data-derived wearable digital biomarkers predict Frataxin gene expression levels and longitudinal disease progression in Friedreich’s Ataxia
A Faisal, B Kadirvelu, C Gavriel, S Nageshwaran, PKJ Chan, ...
12021
Covid-19 does not look like what you are looking for: clustering symptoms by nation and multi-morbidities reveal substantial differences to the classical symptom triad
B Kadirvelu, G Burcea, JK Quint, CE Costelloe, AA Faisal
medRxiv, 2021.04. 02.21254818, 2021
12021
P. 204Full-body behaviour analytics reveals DMD disease state within the first few steps of the 6-minute-walk test
V Ricotti, B Kadirvelu, S Rabinowicz, V Selby, T Voit, A Faisal
Neuromuscular Disorders 29, S108-S109, 2019
12019
Wearables and AI better predict the progression of muscular dystrophy
AA Faisal, B Kadirvelu
NATURE MEDICINE 29 (1), 37-38, 2023
2023
Wearable full-body motion tracking of daily-life activities predicts disease trajectory in Duchenne Muscular Dystrophy
V Ricotti, K Balasundaram, S Victoria, R Festenstein, M Eugenio, ...
Nature Research, 2023
2023
Clustering of patient comorbidities within electronic medical records enables high-precision COVID-19 mortality prediction
A Faisal, E Le Lannou, B Post, S Haar, S Brett, B Kadirvelu
2021
Clustering of patient comorbidities within electronic medical records enables high-precision COVID-19 mortality prediction
EL Lannou, B Post, S Haar, SJ Brett, B Kadirvelu, AA Faisal
medRxiv, 2021.03. 29.21254579, 2021
2021
Analytics Dashboard for Duchenne Muscular Dystrophy Clinical Trials
T Bellingham, A Faisal, R Misener
2019
Inferring structural connectivity using Ising couplings in models of neuronal networks (vol 7, 2017)
B Kadirvelu, Y Hayashi, SJ Nasuto
SCIENTIFIC REPORTS 8, 2018
2018
Publisher Correction: Inferring structural connectivity using Ising couplings in models of neuronal networks
B Kadirvelu, Y Hayashi, SJ Nasuto
Scientific Reports 8 (1), 4751, 2018
2018
Kinetic fingerprints in Duchenne muscular dystrophy
B Kadirvelu, V Ricotti, V Selby, S Haar, C Auepanwiriyakul, S Zeng, ...
Poster session presented at 23rd International Annual Congress of the World …, 2018
2018
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Articles 1–20