Google Scholar Profile

Publications

  • N. Moukaddam, B. Lamichhane, R. Salas, W. Goodman, A. Sabharwal, ‘‘Modeling Suicidality with Multimodal Impulsivity Characterization in Participants With Mental Health Disorder", Behavioral Neurology, 2023.

  • N. Barati, B. Lamichhane, S. Liao, E. Graves, A. Swami, A. Sabharwal, ‘‘Unsupervised Wireless Diarization: A Potential New Attack on Encrypted Wireless Networks'', IEEE International Conference on Communications (ICC), 2023 (*Best Paper Award*).

  • B. Lamichhane, J. Zhou, A. Sano, ‘‘Psychotic Relapse Prediction in Schizophrenia Patients using A Mobile Sensing-based Personalized Supervised Deep Learning Model", IEEE Journal of Biomedical and Health Informatics (JBHI), 2023.

  • B. Lamichhane, E. Nemati, T. Ahmed, M. Rahman, J. Kuang, A. Gao ‘‘A Template Matching Based Cough Detection Algorithm Using IMU Data From Earbuds'', IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2022.

  • B. Lamichhane, N. Moukaddam, A. Patel, A. Sabharwal, ‘‘Dyadic Interaction Assessment from Free-living Audio for Depression Severity Assessment'', Interspeech, 2022.

  • B. Lamichhane, N. Moukaddam, A. Patel, A. Sabharwal, ‘‘ECoNet: Estimating Everyday Conversational Network From Free-living Audio For Mental Health Applications", IEEE Pervasive Computing, 2022.

  • J. Zhou, B. Lamichhane, D. Ben-Zeev, A. Campbell, A. Sano, ‘‘Predicting Psychotic Relapse in Schizophrenia With Mobile Sensor Data: Routine Cluster Analysis", JMIR mHealth and uHealth, 2022.

  • B. Lamichhane et al., ‘‘Patient-independent Schizophrenia Relapse Prediction Model Using Daily Template of Hourly Mobile Sensing Data'', \(9^{th}}\) EAI International Conference on Wireless Mobile Communication and Healthcare (EAI MobiHealth), 2020.

  • B. Lamichhane, Y. Kim, S. Segarra, G. Zhang, S. Lhatoo, J. Hampson, X. Jiang, ‘‘Automated Detection of Activity Onset after Postictal Generalized EEG Suppression'', BMC Medical Informatics and Decision Making, 2020.

  • L. Mondragon*, B. Lamichhane*, L. Zhang, G. de Haan,‘‘CNN-SkelPose: A CNN-based Skeleton Estimation Algorithm for Clinical Applications", Journal of Ambient Intelligence and Humanized Computing, 2019 (*Joint co-author).

  • B. Lamichhane, U. Grossekathoefer, G. Schiavone, P. Casale ‘‘Towards Stress Detection in Real-Life Scenarios Using Wearable Sensors: Normalization Factor to Reduce Variability in Stress Physiology", eHealth 360\(^{\circ}\),Springer International Publishing, 2017.

  • G. Schiavone, B. Lamichhane, and C. Van Hoof ‘‘The Double-Layer Methodology and The Validation of Eigen-behavior Techniques Applied to Lifestyle Modeling", BioMed Research International, 2016.

  • L. Atallah, E. Bongers, B. Lamichhane, S. Bambang Oetomo ‘‘Unobtrusive Monitoring of Neonatal Core Brain Temperature using Zero-heat-flux Sensor Matrix'', IEEE Journal of Biomedical and Health Informatics (JBHI), 2016.

  • E. Smets, P. Casale, U. Grossekathoefer, B. Lamichhane, et al. ‘‘Comparison of machine learning techniques for psychophysiological stress detection", \(5^{th}\) EAI International Symposium on Pervasive Computing Paradigms for Mental Health (Mindcare) 2015 (Best Student Paper Award).

  • B. Lamichhane, L. Atallah, E. Bongers, S. Bambang Oetomo ‘‘Core temperature-Comparing the performance of an abdominal skin sensor and an esophageal-feeding tube sensor during interventions in the NICU", Hot Topics in Neonatology, 2014.

  • B. Lamichanne, S. Mudda, F. Regazzoni, and A. Puiatti ‘‘LEXCOMM: a Low Energy, Secure and Flexible Communication Protocol for a Heterogeneous Body Sensor Network", IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2012.

Patent Applications

  • EP3238611B1: Method and device for estimating a condition of a person (European Patent Granted)

  • US11354809B2: Device, system and method for detecting body movement of a patient (US and Japanese Patent Granted)

  • EP3852619B1: Device, system and method for providing a skeleton model (European and Japanese Patent Granted)

  • WO2020064585A1/EP3628220A1: A cuff for use with an inflation-based non-invasive blood pressure measurement apparatus

  • WO2020083786A1/EP3649929A1: An apparatus for use with a wearable cuff

  • US20210098092A1: Privacy-preserving medical search system using similarity preserving hashing

  • EP3806102A1: A system and method for scheduling blood pressure measurements of a subject

  • WO2021019059A1: Apparatus for use with a wearable cuff in measuring blood pressure

Publications In Preparation/Review

  • B. Lamichhane, N. Moukaddam, R. Salas, W. Goodman, A. Sabharwal, ‘‘Multimodal Behavioral, Physiological, and Neurobiological Measurements for Objective Impulsivity Assessment’’

  • B. Lamichhane, N. Moukaddam, A. Sabharwal. ‘‘Mobile Sensing-based Depression Severity Assessment in Participants with Heterogeneous Mental Health Conditions’’

  • B. Lamichhane, N. Moukaddam, and A. Sabharwal ‘‘Childhood Trauma and Inflammatory Markers in Mood Disorder Patients"

  • B. Lamichhane, N. Moukaddam, R. Salas, A. Patel, and A. Sabharwal ‘‘A Deep Learning Model for Impulsivity Prediction"