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RETRACTED ARTICLE: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson's disease
The patients' vocal Parkinson's disease (PD) changes could be identified early on, allowing
for management before physically incapacitating symptoms appear. In this work, static as …
for management before physically incapacitating symptoms appear. In this work, static as …
Going beyond PA: Assessing sensorimotor capacity with wearables in multiple sclerosis—a cross-sectional study
Background Wearable technologies are currently clinically used to assess energy
expenditure in a variety of populations, eg, persons with multiple sclerosis or frail elderly. To …
expenditure in a variety of populations, eg, persons with multiple sclerosis or frail elderly. To …
[HTML][HTML] Advances and opportunities of mobile health in the postpandemic era: smartphonization of wearable devices and wearable deviceization of smartphones
Mobile health (mHealth) with continuous real-time monitoring is leading the era of digital
medical convergence. Wearable devices and smartphones optimized as personalized …
medical convergence. Wearable devices and smartphones optimized as personalized …
A digital architecture for the real-time tracking of wearing off phenomenon in Parkinson's disease
Levodopa administration is currently the most common treatment to alleviate Parkinson's
Disease (PD) symptoms. Nevertheless, prolonged use of Levodopa leads to a wearing-off …
Disease (PD) symptoms. Nevertheless, prolonged use of Levodopa leads to a wearing-off …
Informational image of a person's gait according to mobile phone data
N Dorofeev, A Grecheneva… - … Russian Smart Industry …, 2023 - ieeexplore.ieee.org
The article describes the results of the research of an information digital model (map) of a
person's gait based on preliminary processing of mobile phone accelerometer signals in …
person's gait based on preliminary processing of mobile phone accelerometer signals in …
A novel sparse linear mixed model for multi-source mixed-frequency data fusion in telemedicine
Digital health and telemonitoring have resulted in a wealth of information to be collected to
monitor, manage, and improve human health. The multi-source mixed-frequency health data …
monitor, manage, and improve human health. The multi-source mixed-frequency health data …
[HTML][HTML] An Intelligent Gait Data Processing Algorithm Based on Mobile Phone Accelerometers
N Dorofeev, A Grecheneva - Engineering Proceedings, 2023 - mdpi.com
This paper describes an algorithm for extracting human gait movements in data obtained
from accelerometer sensors of a mobile phone, provided that the mobile phone is used in …
from accelerometer sensors of a mobile phone, provided that the mobile phone is used in …
Multi-level multi-channel bio-signal analysis for health telemonitoring
Technology advancements have enabled a wealth of health information to be remotely
collected, resulting in increasing use of telemonitoring for patients with chronic diseases. In …
collected, resulting in increasing use of telemonitoring for patients with chronic diseases. In …
Algorithm for motion detection and gait classification based on mobile phone accelerometer data
NV Dorofeev, AV Grecheneva - Izvestiya of Saratov University …, 2023 - journals.rcsi.science
This paper briefly describes the development of information technology tools using biometric
data, in particular, human gait parameters. The problems of assessing gait parameters using …
data, in particular, human gait parameters. The problems of assessing gait parameters using …
[PDF][PDF] JMIR mHealth and uHealth
Hospital-at-home has been gaining increased attention as a potential remedy for the current
shortcomings of our health care system, allowing for essential health services to be provided …
shortcomings of our health care system, allowing for essential health services to be provided …