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Items: 1 to 20 of 63

1.

Body surface distribution of T wave alternans is modulated by heart rate and ventricular activation sequence in patients with cardiomyopathy.

Ghoraani B, Suszko AM, Selvaraj RJ, Subramanian A, Krishnan S, Chauhan VS.

PLoS One. 2019 Apr 10;14(4):e0214729. doi: 10.1371/journal.pone.0214729. eCollection 2019.

2.

System based on subject-specific bands to recognize pedaling motor imagery: Towards a BCI for lower-limb rehabilitation.

Delisle-Rodriguez D, Cardoso V, Gurve D, Loterio F, Romero-Laiseca MA, Krishnan S, Bastos Filho T.

J Neural Eng. 2019 Feb 20. doi: 10.1088/1741-2552/ab08c8. [Epub ahead of print]

PMID:
30786265
3.

Integrated Signal Encoding and Analysis System for Actigraphy-based Long-term Monitoring of Periodic Limb Movements in Sleep.

Athavale Y, Krishnan S, Raissi A, Kirolos N, Murray BJ, Boulos MI.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:4436-4439. doi: 10.1109/EMBC.2018.8513108.

PMID:
30441744
4.

Wearable Hardware Design for the Internet of Medical Things (IoMT).

Qureshi F, Krishnan S.

Sensors (Basel). 2018 Nov 7;18(11). pii: E3812. doi: 10.3390/s18113812. Review.

5.

A Device-Independent Efficient Actigraphy Signal-Encoding System for Applications in Monitoring Daily Human Activities and Health.

Athavale Y, Krishnan S.

Sensors (Basel). 2018 Sep 6;18(9). pii: E2966. doi: 10.3390/s18092966.

6.

Patient-specific seizure detection in long-term EEG using signal-derived empirical mode decomposition (EMD)-based dictionary approach.

Kaleem M, Gurve D, Guergachi A, Krishnan S.

J Neural Eng. 2018 Oct;15(5):056004. doi: 10.1088/1741-2552/aaceb1. Epub 2018 Jun 25.

PMID:
29937449
7.

Robust QRS detection for HRV estimation from compressively sensed ECG measurements for remote health-monitoring systems.

Pant JK, Krishnan S.

Physiol Meas. 2018 Mar 15;39(3):035002. doi: 10.1088/1361-6579/aaa3c9.

PMID:
29543596
8.

Adaptive Spatial Filter Based on Similarity Indices to Preserve the Neural Information on EEG Signals during On-Line Processing.

Delisle-Rodriguez D, Villa-Parra AC, Bastos-Filho T, López-Delis A, Frizera-Neto A, Krishnan S, Rocon E.

Sensors (Basel). 2017 Nov 25;17(12). pii: E2725. doi: 10.3390/s17122725.

9.

Real-time fetal ECG extraction from multichannel abdominal ECG using compressive sensing and ICA.

Gurve D, Pant JK, Krishnan S.

Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:2794-2797. doi: 10.1109/EMBC.2017.8037437.

PMID:
29060478
10.

Feature analysis of dysphonia speech for monitoring Parkinson's disease.

Rueda A, Krishnan S.

Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:2308-2311. doi: 10.1109/EMBC.2017.8037317.

PMID:
29060359
11.

Performance of compressive sensing for the reconstruction of different QRS pulses in ECG signals.

Pant JK, Krishnan S.

Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:825-828. doi: 10.1109/EMBC.2017.8036951.

PMID:
29059999
12.

Automated Quantification of Low-Amplitude Abnormal QRS Peaks From High-Resolution ECG Recordings Predicts Arrhythmic Events in Patients With Cardiomyopathy.

Das M, Suszko AM, Nayyar S, Viswanathan K, Spears DA, Tomlinson G, Pinter A, Crystal E, Dalvi R, Krishnan S, Chauhan VS.

Circ Arrhythm Electrophysiol. 2017 Jul;10(7). pii: e004874. doi: 10.1161/CIRCEP.116.004874.

PMID:
28705874
13.

Efficient compressive sensing of ECG segments based on machine learning for QRS-based arrhythmia detection.

Pant JK, Krishnan S.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:4731-4734. doi: 10.1109/EMBC.2016.7591784.

PMID:
28269328
14.

Compressive sensing of foot-gait signals by enhancing group block-sparse structure on the first-order difference.

Pant JK, Krishnan S.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:3700-3703. doi: 10.1109/EMBC.2016.7591531.

PMID:
28269095
15.

Multi-domain feature selection in auditory MisMatch Negativity via PARAFAC-based template matching approach.

Pouryazdian S, Chang A, Bosnyak DJ, Trainor LJ, Beheshti S, Krishnan S.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:1603-1607. doi: 10.1109/EMBC.2016.7591019.

PMID:
28268635
16.

Increased beat-to-beat T-wave variability in myocardial infarction patients.

Hasan MA, Abbott D, Baumert M, Krishnan S.

Biomed Tech (Berl). 2018 Mar 28;63(2):123-130. doi: 10.1515/bmt-2015-0186.

PMID:
28002025
17.

Nonnegative matrix factorization and sparse representation for the automated detection of periodic limb movements in sleep.

Shokrollahi M, Krishnan S, Dopsa DD, Muir RT, Black SE, Swartz RH, Murray BJ, Boulos MI.

Med Biol Eng Comput. 2016 Nov;54(11):1641-1654. Epub 2016 Feb 13.

PMID:
26872678
18.

Electrophysiological Cardiac Modeling: A Review.

Beheshti M, Umapathy K, Krishnan S.

Crit Rev Biomed Eng. 2016;44(1-2):99-122. doi: 10.1615/CritRevBiomedEng.2016016454. Review.

PMID:
27652454
19.

Beat-to-beat T-wave alternans detection using the Ensemble Empirical Mode Decomposition method.

Hasan MA, Chauhan VS, Krishnan S.

Comput Biol Med. 2016 Oct 1;77:1-8. doi: 10.1016/j.compbiomed.2016.07.001. Epub 2016 Jul 8.

PMID:
27489981
20.

Advanced signal analysis for the detection of periodic limb movements from bilateral ankle actigraphy.

Athavale Y, Krishnan S, Dopsa DD, Berneshawi AG, Nouraei H, Raissi A, Murray BJ, Boulos MI.

J Sleep Res. 2017 Feb;26(1):14-20. doi: 10.1111/jsr.12438. Epub 2016 Jul 26.

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