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Number of items: 38.

Article

Poorjam, Amir Hossein, Raykov, Yordan P., Badawy, Reham, Jensen, Jesper Rindom, Christensen, Mads Grasboll and Little, Max A. (2019). Quality Control of Voice Recordings in Remote Parkinson’S Disease Monitoring Using the Infinite Hidden Markov Model. ICASSP 2019 , pp. 805-809.

Poorjam, Amir Hossein, Little, Max A., Jensen, Jesper Rindom and Christensen, Mads Graesboll (2019). Quality Control in Remote Speech Data Collection. IEEE Journal on Selected Topics in Signal Processing , p. 1.

Dashti, Hassan S., Jones, Samuel E., Wood, Andrew R., Lane, Jacqueline M., Van Hees, Vincent T., Wang, Heming, Rhodes, Jessica A., Song, Yanwei, Patel, Krunal, Anderson, Simon G., Beaumont, Robin N., Bechtold, David A., Bowden, Jack, Cade, Brian E., Garaulet, Marta, Kyle, Simon D., Little, Max A., Loudon, Andrew S., Luik, Annemarie I., Scheer, Frank A. J. L., Spiegelhalder, Kai, Tyrrell, Jessica, Gottlieb, Daniel J., Tiemeier, Henning, Ray, David W., Purcell, Shaun M., Frayling, Timothy M., Redline, Susan, Lawlor, Deborah A., Rutter, Martin K., Weedon, Michael N. and Saxena, Richa (2019). Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates. Nature Communications, 10 (1),

Lane, Jacqueline M., Jones, Samuel E., Dashti, Hassan S., Wood, Andrew R., Aragam, Krishna G., van Hees, Vincent T., Strand, Linn B., Winsvold, Bendik S., Wang, Heming, Bowden, Jack, Song, Yanwei, Patel, Krunal, Anderson, Simon G., Beaumont, Robin N., Bechtold, David A., Cade, Brian E., Haas, Mary, Kathiresan, Sekar, Little, Max A., Luik, Annemarie I., Loudon, Andrew S., Purcell, Shaun, Richmond, Rebecca C., Scheer, Frank A.J.L., Schormair, Barbara, Tyrrell, Jessica, Winkelman, John W., Winkelmann, Juliane, Martinsen, Amy E., Skogholt, Anne H., Brumpton, Ben, Winsvold, Bendik S., Sivertsen, Børge, Willer, Cristen J., Bragantini, Daniela, Kallestad, Håvard, Janszky, Imre, Guzey, Ismail C., Zwart, John Anker, Nielsen, Jonas B., Nilsen, Kristian B., Hveem, Kristian, Fritsche, Lars, Pedersen, Linda M., Strand, Linn B., Gabrielsen, Maiken E., Johnsen, Marianne B., Lie, Marie U., Engstrøm, Morten and Sand, Trond (2019). Biological and clinical insights from genetics of insomnia symptoms. Nature Genetics, 51 (3), 387–393.

Beukenhorst, Anna L, Parkes, Matthew, Cooke, Louise A., Barnard, Rebecca, van der Veer, Sabine, Little, Max A, Howells, Kelly, Sanders, Caroline, Sergeant, Jamie C, O'Neill, Terence, McBeth, John and Dixon, William G (2019). Collecting Symptoms and Sensor Data With Consumer Smartwatches (the Knee OsteoArthritis, Linking Activity and Pain Study):Protocol for a Longitudinal, Observational Feasibility Study. JMIR Research Protocols, 8 (1), e10238.

Arora, Siddharth, Visanji, Naomi P., Mestre, Tiago A., Tsanas, Athanasios, AlDakheel, Amaal, Connolly, Barbara S., Gasca-Salas, Carmen, Kern, Drew S., Jain, Jennifer, Slow, Elizabeth J., Faust-Socher, Achinoam, Lang, Anthony E., Little, Max A. and Marras, Connie (2018). Investigating Voice as a Biomarker for Leucine-Rich Repeat Kinase 2-Associated Parkinson's Disease. Journal of Parkinson's Disease, 8 (4), pp. 503-510.

Arora, Siddharth, Baig, Fahd, Lo, Christine, Barber, Thomas R., Lawton, Michael A., Zhan, Andong, Rolinski, Michal, Ruffmann, Claudio, Klein, Johannes C., Rumbold, Jane, Louvel, Amandine, Zaiwalla, Zenobia, Lennox, Graham, Quinnell, Tim, Dennis, Gary, Wade-Martins, Richard, Ben-Shlomo, Yoav, Little, Max A. and Hu, Michele T. (2018). Smartphone motor testing to distinguish idiopathic REM sleep behavior disorder, controls, and PD. Neurology, 91 (16), e1528-e1538.

Badawy, Reham, Raykov, Yordan, Evers, Luc J.W., Bloem, Bastiaan R., Faber, Marjan J., Zhan, Andong, Claes, Kasper and Little, Max A (2018). Automated Quality Control for Sensor Based Symptom Measurement Performed Outside the Lab. Sensors, 18 (4),

Silva de Lima, Ana Lígia, Evers, Luc J.W., Hahn, Tim, De Vries, Nienke M., Daeschler, Margaret, Boroojerdi, Babak, Terricabras, Dolors, Little, Max A, Bloem, Bastiaan R. and Faber, Marjan J. (2018). Impact of motor fluctuations on real-life gait in Parkinson’s patients. Gait and Posture, 62 , pp. 388-394.

Zhan, Andong, Mohan, Srihari, Tarolli, Christopher, Schneider, Ruth B., Adams, Jamie L., Sharma, Saloni, Elson, Molly J., Spear, Kelsey L., Glidden, Alistair M., Little, Max A., Terzis, Andreas, Dorsey, E. Ray and Saria, Suchi (2018). Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity:The Mobile Parkinson Disease Score. JAMA neurology, 75 (7), pp. 876-880.

De Lima, Ana Lígia Silva, Hahn, Tim, Evers, Luc J.W., De Vries, Nienke M., Cohen, Eli, Afek, Michal, Bataille, Lauren, Daeschler, Margaret, Claes, Kasper, Boroojerdi, Babak, Terricabras, Dolors, Little, Max A., Baldus, Heribert, Bloem, Bastiaan R. and Faber, Marjan J. (2017). Feasibility of large-scale deployment of multiple wearable sensors in Parkinson’s disease. PLoS ONE, 12 (12),

Kyle, Simon D., Sexton, Claire E., Feige, Bernd, Luik, Annemarie, Lane, Jacqueline, Saxena, Richa, Anderson, Simon G., Bechtold, David A., Dixon, William, Little, Max, Ray, David, Riemann, Dieter, Espie, Colin A., Rutter, Martin K. and Spiegelhalder, Kai (2017). Sleep and cognitive performance:cross-sectional associations from the UK Biobank. Sleep Medicine, 38 , pp. 85-91.

Silva de Lima, Ana Lígia, Evers, Luc J.W., Hahn, Tim, Bataille, Lauren, Hamilton, Jamie L., Little, Max A., Okuma, Yasuyuki, Bloem, Bastiaan R. and Faber, Marjan J. (2017). Freezing of gait and fall detection in Parkinson’s disease using wearable sensors:a systematic review. Journal of Neurology, in pre ,

Lane, Jacqueline M., Liang, Jingjing, Vlasac, Irma, Anderson, Simon G., Bechtold, David A., Bowden, Jack, Emsley, Richard, Gill, Shubhroz, Little, Max A, Luik, Annemarie I., Loudon, Andrew, Scheer, Frank A.J.L., Purcell, Shaun M., Kyle, Simon D., Lawlor, Deborah A., Zhu, Xiaofeng, Redline, Susan, Ray, David W., Rutter, Martin K. and Saxena, Richa (2017). Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits. Nature Genetics, 49 (2), 274 - 281.

Raykov, Yordan P., Boukouvalas, Alexios and Little, Max A. (2016). Simple approximate MAP inference for Dirichlet processes mixtures. Electronic Journal of Statistics, 10 (2), pp. 3548-3578.

Raykov, Yordan P., Boukouvalas, Alexis, Baig, Fahd and Little, Max A. (2016). What to do when K-means clustering fails:a simple yet principled alternative algorithm. PLoS ONE, 11 (9),

Kubota, Ken J., Chen, Jason A. and Little, Max A. (2016). Machine learning for large-scale wearable sensor data in Parkinson disease:concepts, promises, pitfalls, and futures. Movement Disorders, 31 (9), pp. 1314-1326.

Espay, Alberto J., Bonato, Paolo, Nahab, Fatta B., Maetzler, Walter, Dean, John M., Klucken, Jochen, Eskofier, Bjoern M., Merola, Aristide, Horak, Fay, Lang, Anthony E., Reilmann, Ralf, Giuffrida, Joe, Nieuwboer, Alice, Horne, Malcolm, Little, Max A., Litvan, Irene, Simuni, Tanya, Dorsey, E. Ray, Burack, Michelle A., Kubota, Ken, Kamondi, Anita, Godinho, Catarina, Daneault, Jean-Francois, Mitsi, Georgia, Krinke, Lothar, Hausdorff, Jeffery M., Bloem, Bastiaan R., Papapetropoulos, Spyros and Movement Disorders Society Task Force on Technology (2016). Technology in Parkinson's disease:challenges and opportunities. Movement Disorders, 31 (9), pp. 1272-1282.

Andrzejewski, Kelly L., Dowling, Ariel V., Stamler, David, Felong, Timothy J., Harris, Denzil A., Wong, Cynthia, Cai, Hang, Reilmann, Ralf, Little, Max A., Gwin, Joseph T., Biglan, Kevin M. and Dorsey, E. Ray (2016). Wearable sensors in Huntington disease:a pilot study. Journal of Huntington's Disease, 5 (2), pp. 199-206.

Lane, Jacqueline M., Vlasac, Irma, Anderson, Simon G., Kyle, Simon D., Dixon, William G., Bechtold, David A., Gill, Shubhroz, Little, Max A., Luik, Annemarie, Loudon, Andrew, Emsley, Richard, Scheer, Frank A.J.L., Lawlor, Deborah A., Redline, Susan, Ray, David W., Rutter, Martin K. and Saxena, Richa (2016). Genome-wide association analysis identifies novel loci for chronotype in 100,420 individuals from the UK Biobank. Nature Communications, 7 ,

Stephenson, Diane, Hu, Michele T., Romero, Klaus, Breen, Kieran, Burn, David, Ben-Shlomo, Yoav, Bhattaram, Atul, Isaac, Maria, Venuto, Charles, Kubota, Ken, Little, Max A., Friend, Stephen, Lovestone, Simon, Morris, Huw R., Grosset, Donald, Sutherland, Margaret, Gallacher, John, Williams-Gray, Caroline, Bain, Lisa J., Avilés, Enrique, Marek, Ken, Toga, Arthur W., Stark, Yafit, Gordon, Mark Forrest and Ford, Steve (2015). Precompetitive data sharing as a catalyst to address unmet needs in Parkinson's disease. Journal of Parkinson's Disease, 5 (3), pp. 581-594.

Arora, S., Venkataraman, V., Zhang, A., Donohue, S., Biglan, K.M., Dorsey, E.R. and Little, M.A. (2015). Detecting and monitoring the symptoms of Parkinson's disease using smartphones:a pilot study. Parkinsonism and Related Disorders, 21 (6), pp. 650-653.

Moore, Paul J., Little, Max A., McSharry, Patrick E., Goodwin, Guy M. and Geddes, John R. (2014). Correlates of depression in bipolar disorder. Proceeding of the Royal Society: Series B, 281 (1776),

Little, Max A and Jones, Nick S. (2013). Signal processing for molecular and cellular biological physics:an emerging field. Philosophical Transactions A, 371 (1984),

Little, Max, Wicks, Paul, Vaughan, Timothy and Pentland, Alex (2013). Quantifying short-term dynamics of Parkinson's disease using self-reported symptom data from an internet social network. Journal of Medical Internet Research, 15 (1),

Tsanas, Athanasios, Little, Max A., McSharry, Patrick E., Spielman, Jennifer, Ramig, Lorraine O. and Spielman, Jennifer (2012). Novel speech signal processing algorithms for high-accuracy classification of Parkinson's disease. IEEE Transactions on Biomedical Engineering, 59 (5), pp. 1264-1271.

Little, Max A. and Jones, Nick S. (2011). Generalized methods and solvers for noise removal from piecewise constant signals. I. Background theory. Proceedings of the Royal Society of London A, 467 (2135), pp. 3088-3114.

Little, Max A. and Jones, Nick S. (2011). Generalized methods and solvers for noise removal from piecewise constant signals. II. New methods. Proceedings of the Royal Society of London A, 467 (2135), pp. 3115-3140.

Little, Max A., Steel, Bradley C., Bai, Fan, Sowa, Yoshiyuki, Bilyard, Thomas, Mueller, David M., Berry, Richard M. and Jones, Nick S. (2011). Steps and bumps:precision extraction of discrete states of molecular machines. Biophysical Journal, 101 (2), pp. 477-485.

Tsanas, Athanasios, Little, Max A., McSharry, Patrick E. and Ramig, Lorraine O. (2011). Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity. Journal of the Royal Society Interface, 8 (59), pp. 842-855.

Little, Max A., McSharry, Patrick E., Hunter, Eric J., Spielman, Jennifer and Ramig, Lorraine O. (2009). Suitability of dysphonia measurements for telemonitoring of Parkinson's disease. IEEE Transactions on Biomedical Engineering, 56 (4), pp. 1015-1022.

Book Section

Poorjam, Amir Hossein, Little, Max A, Jensen, Jesper Rindom and Christensen, Mads Græsbøll (2018). A Parametric Approach for Classification of Distortions in Pathological Voices. IN: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE.

Poorjam, Amir Hossein, Little, Max A, Jensen, Jesper Rindom and Christensen, Mads Græsbøll (2018). A Supervised Approach to Global Signal-to-Noise Ratio Estimation for Whispered and Pathological Voices. IN: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE.

Shi, Liming, Nielsen, Jesper K., Jensen, Jesper R., Little, Max A. and Christensen, Mads G. (2017). A Kalman-based fundamental frequency estimation algorithm. IN: 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017. IEEE.

Poorjam, Amir Hossein, Jensen, Jesper Rindom, Little, Max A. and Christensen, Mads Græsbøll (2017). Dominant distortion classification for pre-processing of vowels in remote biomedical voice analysis. IN: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2017. UNSPECIFIED.

Raykov, Yordan P., Ozer, Emre, Dasika, Ganesh, Boukouvalas, Alexis and Little, Max A. (2016). Predicting room occupancy with a single passive infrared (PIR) sensor through behavior extraction. IN: UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York, NY (US): ACM.

Arora, Siddharth, Venkataraman, Vinayak, Donohue, Sean, Biglan, Kevin M., Dorsey, Earl R. and Little, Max A. (2014). High accuracy discrimination of Parkinson's disease participants from healthy controls using smartphones. IN: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE.

Little, Max A. (2014). An efficient, approximate path-following algorithm for elastic net based nonlinear spike enhancement. IN: 2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO). IEEE.

This list was generated on Sat May 25 01:46:30 2019 BST.