Heidi M. Schambra

According to our database, Heidi M. Schambra authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantifying impairment and disease severity using AI models trained on healthy subjects.

Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi M. Schambra, Carlos Fernandez-Granda

npj Digit. Medicine, 2024

2022

StrokeRehab: A Benchmark Dataset for Sub-second Action Identification.

Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

NE-Motion: Visual Analysis of Stroke Patients Using Motion Sensor Networks.

Rodrigo Colnago Contreras, Avinash Parnandi, Bruno Gomes Coelho, Cláudio T. Silva, Heidi M. Schambra, Luis Gustavo Nonato

Sensors, 2021

PrimSeq: a deep learning-based pipeline to quantitate rehabilitation training.

Avinash Parnandi, Aakash Kaku, Anita Venkatesan, Natasha Pandit, Audre Wirtanen, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Dawn Nilsen, Carlos Fernandez-Granda, Heidi M. Schambra

CoRR, 2021

Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution.

Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda

CoRR, 2021

2020

Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization.

Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda

CoRR, 2020

Towards data-driven stroke rehabilitation via wearable sensors and deep learning.

Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda

Proceedings of the Machine Learning for Healthcare Conference, 2020

2019

Pragmatic classification of movement primitives for stroke rehabilitation.

Avinash Parnandi, Jasim Uddin, Dawn Nilsen, Heidi M. Schambra

CoRR, 2019

2017

Capture, learning, and classification of upper extremity movement primitives in healthy controls and stroke patients.

Jorge Guerra, Jasim Uddin, Dawn Nilsen, James Mclnerney, Ammarah Fadoo, Isirame B. Omofuma, Shatif Hughes, Sunil Agrawal, Peter Allen, Heidi M. Schambra

Proceedings of the International Conference on Rehabilitation Robotics, 2017