Anomalies detection through smartphone sensors: A review

M Krichen - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
With smartphones being so ubiquitous, more connected and largely fitted with several types
of sensors such as GPS, microphones, cameras, magnetometers, accelerometers, etc; there …

Wearable devices for gait analysis in intelligent healthcare

X Liu, C Zhao, B Zheng, Q Guo, X Duan… - Frontiers in Computer …, 2021 - frontiersin.org
In this study, we review the role of wearable devices in tracking our daily locomotion. We
discuss types of wearable devices that can be used, methods for gait analyses, and multiple …

IoT-enabled gait assessment: the next step for habitual monitoring

F Young, R Mason, RE Morris, S Stuart, A Godfrey - Sensors, 2023 - mdpi.com
Walking/gait quality is a useful clinical tool to assess general health and is now broadly
described as the sixth vital sign. This has been mediated by advances in sensing …

Spatiotemporal parameters from remote smartphone-based gait analysis are associated with lower extremity functional scale categories

G Rozanski, A Delgado, D Putrino - Frontiers in Rehabilitation …, 2023 - frontiersin.org
Objective Self-report tools are recommended in research and clinical practice to capture
individual perceptions regarding health status; however, only modest correlations are found …

A data process of human knee joint kinematics obtained by motion-capture measurement

J Wang, S Wang, Y Wang, H Hu, J Yu, X Zhao… - BMC medical informatics …, 2021 - Springer
Background The motion capture has been used as the usual method for measuring
movement parameters of human, and most of the measuring data are obtained by partial …

Gait characteristics analyzed with smartphone IMU sensors in subjects with parkinsonism under the conditions of “dry” immersion

AY Meigal, LI Gerasimova-Meigal, SA Reginya… - Sensors, 2022 - mdpi.com
Parkinson's disease (PD) is increasingly being studied using science-intensive methods due
to economic, medical, rehabilitation and social reasons. Wearable sensors and Internet of …

Ambient Assisted Living At-Home Laboratory for Motor Status Diagnostics in Parkinson's Disease Patients and Aged People

AY Meigal, DG Korzun, AP Moschevikin… - … on Supporting Healthy …, 2022 - igi-global.com
The chapter summarizes the authors' development on the concept of “at-home lab”(AHL).
The concept employs the methods of artificial intelligence (AI), smart internet of things (IoT) …

以深度學習為基礎之步態分析與評估

蔡承燁 - 義守大學資訊工程學系學位論文, 2024 - airitilibrary.com
台灣即將邁入超高齡社會, 65 歲以上長者跌倒發生率在14.7% 以上, 一旦跌倒就容易受傷與骨折
; 同時老年人跌倒的發生率亦會隨年紀增加而增長. 因此如何預測及防止跌倒會是高齡照護中很 …

Détection des anomalies via les capteurs des smartphones dans le domaine de la santé

M Krichen - 2021 - hal.science
Les smartphones étant si omniprésents, plus connectés et largement équipés de plusieurs
types de capteurs tels que GPS, microphones, caméras, magnétomètres, accéléromètres …

Motion Videocapture and Treadmill to Study Postural Reactivity and Transition: Application to the condition of “Dry” Immersion in Parkinson's Disease

A Meigal, O Tretjakova… - … 30th Conference of …, 2021 - ieeexplore.ieee.org
The purpose of this study was to evaluate technical reliability of a commercially available
treadmill to induce slip displacement, which is sufficient to provoke postural reactivity in …