12 Papers
3 Citations
Rishabh Bajpai is an academic researcher from Indian Institute of Information Technology, Design and Manufacturing, Jabalpur. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 1, co-authored 1 publications.
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Papers
DeprNet: A Deep Convolution Neural Network Framework for Detecting Depression Using EEG
Ayan Seal,Rishabh Bajpai,Jagriti Agnihotri,Anis Yazidi,Enrique Herrera-Viedma,Ondrej Krejcar +5 more
TL;DR: In this paper, a DL-based convolutional neural network (CNN) called DeprNet was proposed for classifying the EEG data of depressed and normal subjects, where the Patient Health Questionnaire 9 score was used for quantifying the level of depression.
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Benchmarks for machine learning in depression discrimination using electroencephalography signals
Ayan Seal,Rishabh Bajpai,Mohan Karnati,J. Agnihotri,Anis Yazidi,Enrique Herrera-Viedma,Ondrej Krejcar +6 more
TL;DR: This study contributes to the area by presenting a dataset that includes EEG data of subjects in the resting state and Patient Health Questionnaire (PHQ)-9 scores, and demonstrates that the proposed method outperforms fourteen existing approaches on depression classification tasks.
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A Novel Instrumented Outsole for Real-Time Foot Kinematic Measurements: Validation Across Different Speeds and Simulated Foot Landing
TL;DR: A wearable instrument to measure foot kinematics such as foot-to-ground angle (FGA) in 3-D planes and to measure the foot clearance, i.e., toe clearance (TC) and heel clearance (HC) is developed and validated for real-time vibrotactile feedback.
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Foot2hip: A Deep Neural Network Model for Predicting Lower Limb Kinematics From Foot Measurements
Rishabh Bajpai,Deepak Joshi +1 more
TL;DR: In this article , a neural network (foot2hip) was developed to predict ankle, knee, and hip joint angle profiles in the sagittal plane using foot kinematics and kinetics during walking.
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AbnormNet: A Neural Network Based Suggestive Tool for Identifying Gait Abnormalities in Cerebral Palsy Children
Rishabh Bajpai,Ashutosh Tiwari,Deepak Joshi,R. S. Khatavkar +3 more
- 21 Jan 2022
TL;DR: A neural network model having three modules for classifying walking patterns into nine known knee joint abnormalities in the sagittal plane is presented, suggesting that a neural network-based method can be used as a gait assessment tool for known gait abnormalities.
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