activity
20152024
collaborators

7 papers

cs.AR2024

A Lightweight Algorithm for Classifying Ex Vivo Tissues Samples

Tzu-Hao Li, Ethan Murphy, Allaire Doussan +2

In this paper, we present a novel algorithm for classifying ex vivo tissue that comprises multi-channel bioimpedance analysis and a hardware neural network. When implemented in a m…

cs.LG2022

Analog Gated Recurrent Neural Network for Detecting Chewing Events

Kofi Odame, Maria Nyamukuru, Mohsen Shahghasemi +2

We present a novel gated recurrent neural network to detect when a person is chewing on food. We implemented the neural network as a custom analog integrated circuit in a 0.18 um C…

eess.SP2020

Extracting Fractional Inspiratory Time from Electrocardiograms

Maria Nyamukuru, Kofi Odame

Non-invasive at-home monitoring of lung and lung airways health enables the early detection and tracking of respiratory diseases like asthma and chronic obstructive pulmonary disea…

eess.SP2020

Inferring COPD Severity from Tidal Breathing

Kofi Odame, Graham Atkins, Maria Nyamukuru +1

Objective: To develop an algorithm that can infer the severity level of a COPD patient's airflow limitation from tidal breathing data that is collected by a wearable device. Method…

cs.LG2020

Tiny Eats: Eating Detection on a Microcontroller

Maria T. Nyamukuru, Kofi M. Odame

There is a growing interest in low power highly efficient wearable devices for automatic dietary monitoring (ADM) [1]. The success of deep neural networks in audio event classifica…

cs.LG2019

An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting

Justice Amoh, Kofi Odame

There is growing interest in being able to run neural networks on sensors, wearables and internet-of-things (IoT) devices. However, the computational demands of neural networks mak…

cs.NE2015

DeepCough: A Deep Convolutional Neural Network in A Wearable Cough Detection System

Justice Amoh, Kofi Odame

In this paper, we present a system that employs a wearable acoustic sensor and a deep convolutional neural network for detecting coughs. We evaluate the performance of our system o…