| Wearable sensors for Parkinson’s disease: which data are worth collecting for training symptom detection models L Lonini, A Dai, N Shawen, T Simuni, C Poon, L Shimanovich, ... NPJ digital medicine 1 (1), 64, 2018 | 164 | 2018 |
| Automating sleep stage classification using wireless, wearable sensors AJ Boe, LL McGee Koch, MK O’Brien, N Shawen, JA Rogers, RL Lieber, ... NPJ digital medicine 2 (1), 131, 2019 | 85 | 2019 |
| Role of data measurement characteristics in the accurate detection of Parkinson’s disease symptoms using wearable sensors N Shawen, MK O’Brien, S Venkatesan, L Lonini, T Simuni, JL Hamilton, ... Journal of neuroengineering and rehabilitation 17, 1-14, 2020 | 73 | 2020 |
| Activity recognition for persons with stroke using mobile phone technology: toward improved performance in a home setting MK O'Brien, N Shawen, CK Mummidisetty, S Kaur, X Bo, C Poellabauer, ... Journal of medical Internet research 19 (5), e184, 2017 | 69 | 2017 |
| Automated, multiparametric monitoring of respiratory biomarkers and vital signs in clinical and home settings for COVID-19 patients X Ni, W Ouyang, H Jeong, JT Kim, A Tzavelis, A Mirzazadeh, C Wu, ... Proceedings of the National Academy of Sciences 118 (19), e2026610118, 2021 | 65 | 2021 |
| Rapid screening of physiological changes associated with COVID-19 using soft-wearables and structured activities: a pilot study L Lonini, N Shawen, O Botonis, M Fanton, C Jayaraman, ... IEEE Journal of Translational Engineering in Health and Medicine 9, 1-11, 2021 | 38 | 2021 |
| Fall detection in individuals with lower limb amputations using mobile phones: machine learning enhances robustness for real-world applications N Shawen, L Lonini, CK Mummidisetty, I Shparii, MV Albert, K Kording, ... JMIR mHealth and uHealth 5 (10), e8201, 2017 | 37 | 2017 |
| Miniaturized wireless, skin-integrated sensor networks for quantifying full-body movement behaviors and vital signs in infants H Jeong, SS Kwak, S Sohn, JY Lee, YJ Lee, MK O’Brien, Y Park, R Avila, ... Proceedings of the National Academy of Sciences 118 (43), e2104925118, 2021 | 34 | 2021 |
| Accelerometry-enabled measurement of walking performance with a robotic exoskeleton: a pilot study L Lonini, N Shawen, K Scanlan, WZ Rymer, KP Kording, A Jayaraman Journal of NeuroEngineering and Rehabilitation 13, 1-10, 2016 | 22 | 2016 |
| A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls Y Harari, N Shawen, CK Mummidisetty, MV Albert, KP Kording, ... Journal of neuroengineering and rehabilitation 18 (1), 124, 2021 | 16 | 2021 |
| Wearable sensors for Parkinson’s disease: which data are worth collecting for training symptom detection models. npj Digit L Lonini, A Dai, N Shawen, T Simuni, C Poon, L Shimanovich, ... Med 1 (1), 64.10, 2018 | 16 | 2018 |
| Automatic detection of spasticity from flexible wearable sensors L Lonini, N Shawen, R Ghaffari, J Rogers, A Jayarman Proceedings of the 2017 ACM International Joint Conference on Pervasive and …, 2017 | 13 | 2017 |
| Association of sleep with neurobehavioral impairments during inpatient rehabilitation after traumatic brain injury MB Maneyapanda, R Stork, B Ingraham, L Lonini, A Jayaraman, ... NeuroRehabilitation 43 (3), 319-325, 2018 | 12 | 2018 |
| Combining accelerometer and GPS features to evaluate community mobility in Knee Ankle Foot Orthoses (KAFO) users L Lonini, N Shawen, S Hoppe-Ludwig, S Deems-Dluhy, CK Mummidisetty, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 1386-1393, 2021 | 4 | 2021 |
| Wearable sensors for Parkinson’s disease: which data are worth collecting for training symptom detection models. npj Digital Medicine. 2018; 1 (1) L Lonini, A Dai, N Shawen, T Simuni, C Poon, L Shimanovich doi 10, 64, 2018 | 4 | 2018 |
| Effect of recombinant human bone morphogenetic protein‐2 on a novel lung cancer spine metastasis model in rodents KA Sonn, AS Kannan, SS Bellary, C Yun, SZ Hashmi, JT Nelson, ... Journal of Orthopaedic Research 34 (7), 1274-1281, 2016 | 4 | 2016 |
| Long-term, continuous, and multimodal monitoring of respiratory digital biomarkers via wireless epidermal mechano-acoustic sensing in clinical and home settings for COVID-19 … J Rogers, X Ni, W Ouyang, H Jeong, JT Kim, A Tzavelis, A Mirzazadeh, ... | 2 | 2020 |
| Addendum of: fall detection in individuals with lower limb amputations using mobile phones: machine learning enhances robustness for real-world applications N Shawen, L Lonini, CK Mummidisetty, I Shparii, MV Albert, K Kording, ... JMIR mHealth and uHealth 5 (12), e9177, 2017 | 2 | 2017 |
| Developing better digital health measures of parkinson’s disease using free living data and a crowdsourced data analysis challenge SK Sieberts, H Borzymowski, Y Guan, Y Huang, A Matzner, A Page, ... PLOS Digital Health 2 (3), e0000208, 2023 | 1 | 2023 |
| Automatic Scoring of Parkinson’s Disease Motor Symptoms Using a Smartwatch (P2. 8-001) N Shawen, J Knott, J Lee, T Simuni, D Daeschler, A Jayaraman Neurology 92 (15 Supplement), 2019 | 1 | 2019 |
