A Comprehensive review on AI-enabled models for Parkinson's disease diagnosis
Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …
traditional plasma experiments, necessitating the development of a faster, less expensive …
Wrist sensor-based tremor severity quantification in Parkinson's disease using convolutional neural network
HB Kim, WW Lee, A Kim, HJ Lee, HY Park… - Computers in biology …, 2018 - Elsevier
Tremor is a commonly observed symptom in patients of Parkinson's disease (PD), and
accurate measurement of tremor severity is essential in prescribing appropriate treatment to …
accurate measurement of tremor severity is essential in prescribing appropriate treatment to …
Machine learning to detect, stage and classify diseases and their symptoms based on inertial sensor data: A mapping review
This article presents a systematic review aimed at mapping the literature published in the
last decade on the use of machine learning (ML) for clinical decisionmaking through …
last decade on the use of machine learning (ML) for clinical decisionmaking through …
Differential diagnosis of Parkinson and essential tremor with convolutional LSTM networks
This study aims to present a novel method for differentiation of Parkinsonian tremor (PT) and
essential tremor (ET) using both postural and resting tremor. A convolutional long short-term …
essential tremor (ET) using both postural and resting tremor. A convolutional long short-term …
On the use of histograms of oriented gradients for tremor detection from sinusoidal and spiral handwritten drawings of people with Parkinson's disease
JP Folador, MCS Santos, LMD Luiz… - Medical & biological …, 2021 - Springer
Abstract Parkinson's disease (PD), whose cardinal signs are tremor, rigidity, bradykinesia,
and postural instability, gradually reduces the quality of life of the patient, making early …
and postural instability, gradually reduces the quality of life of the patient, making early …
Behavioral differences between subject groups identified using smart homes and change point detection
With the arrival of the internet of things, smart environments are becoming increasingly
ubiquitous in our everyday lives. Sensor data collected from smart home environments can …
ubiquitous in our everyday lives. Sensor data collected from smart home environments can …
A study on the essential and Parkinson's arm tremor classification
V Skaramagkas, G Andrikopoulos, Z Kefalopoulou… - Signals, 2021 - mdpi.com
In this article, the challenge of discriminating between essential and Parkinson's tremor is
addressed. Although a variety of methods have been proposed for diagnosing the severity of …
addressed. Although a variety of methods have been proposed for diagnosing the severity of …
Tremor quantification of Parkinson's disease-a pilot study
MN Alam, B Johnson, J Gendreau… - 2016 IEEE …, 2016 - ieeexplore.ieee.org
The objective of this study was to quantify Parkinson's disease tremor severity using signals
acquired from wearable inertial sensors. A machine learning approach was used in the …
acquired from wearable inertial sensors. A machine learning approach was used in the …
Classification of fatigue phases in healthy and diabetic adults using wearable sensor
Fatigue is defined as “a loss of force-generating capacity” in a muscle that can intensify
tremor. Tremor quantification can facilitate early detection of fatigue onset so that …
tremor. Tremor quantification can facilitate early detection of fatigue onset so that …
Visualizing ubiquitously sensed measures of motor ability in multiple sclerosis: reflections on communicating machine learning in practice
Sophisticated ubiquitous sensing systems are being used to measure motor ability in clinical
settings. Intended to augment clinical decision-making, the interpretability of the machine …
settings. Intended to augment clinical decision-making, the interpretability of the machine …