Development of an Assessment Method of Forearm Pronation/Supination Motor Function based on Mobile Phone Accelerometer Data for an Early Diagnosis of Parkinson's Disease

  title={Development of an Assessment Method of Forearm Pronation/Supination Motor Function based on Mobile Phone Accelerometer Data for an Early Diagnosis of Parkinson's Disease},
  author={Ji Hun Choi and Hyeo-Il Ma and Y. Kim and Unjoo Lee},
A series of forearm pronation and supination motor tasks (FPSMT) has been developed to quantitatively assess various primary motor symptoms such as resting tremor, bradykinesia, rigidity, and posture disturbance using an accelerometer built into a smartphone, which is portable, comfortable and cost-effective. The FPSMT has two series of tasks, Flat and Up, which differ according to initial forearm posture. The results from 33 subjects including 6 PD patients showed sensitivities and… Expand
The detection of hand tremor through the characteristics of finger movement while typing
Typing data was analysed and it was showed that hand tremor in PD can be detected from keystroke features and the diagnosis of early PD through typing can achieve the clinical requirement of at least two cardinal features being present (bradykinesia and tremor). Expand
High-accuracy detection of early Parkinson's Disease using multiple characteristics of finger movement while typing
Keystroke timing information was captured as subjects typed on a computer keyboard over an extended period and showed that PD affects various characteristics of hand and finger movement and that these can be detected. Expand
Technologies Assessing Limb Bradykinesia in Parkinson’s Disease
This review provides an up-to-date repository and synthesis of the current literature regarding technology used for assessing limb bradykinesia in PD and discusses the current trends with regards to technology. Expand
A Smart Inertial System for 24h Monitoring and Classification of Tremor and Freezing of Gait in Parkinson’s Disease
The main objective of this study is the realization of advanced methods of automatic evaluation and continuous monitoring tools for the support to the medical evaluation of Parkinson’s disease (PD)Expand
Parkinson’s Disease Detection by Using Machine Learning Algorithms and Hand Movement Signal from LeapMotion Sensor
This work is devoted to the detection of Parkinson’s disease (PD) by the kinematic parameters of hand movements using machine learning methods. Hand movements of PD patients (N16) and control groupExpand


Quantitative Assessment of Forearm Pronation/Supination Motor functions using a Smartphone Accelerometer for an early Diagnosis of Parkinson’s Disease
The FPSMT has two procedures of tasks, “Flat” and “Up” according to the initial forearm postures, and the result from thirty three subjects including six PD patients showed reasonable sensitivities and specificities. Expand
Development of an acquisition and visualization of forearm tremors and pronation/supination motor activities in a smartphone based environment for an early diagnosis of Parkinson's disease
An application ProSupino was designed for android mobile phones and to collect in real-time forearm movement data from the tri-axial accelerometer while a subject develops with one of two series ofExpand
Measurement of Angular Velocity of Forearm Pronation/Supination Movement for the Quantification of the Bradykinesia in Idiopathic Parkinson's Disease Patients
The purpose of this study is to investigate the angular velocity of forearm pronation/supination movement in Parkinson's disease patients, as a quantitative measure of the bradykinesia. ThirteenExpand
Smartphone-based evaluation of parkinsonian hand tremor: Quantitative measurements vs clinical assessment scores
This work compares quantitative measurements of hand tremor in twenty-three Parkinson's disease patients, with their clinical scores in theHand tremor components of the Unified Parkinson's Disease Rating Scale (UPDRS), which is considered the “gold standard” in the clinical assessment of the disease. Expand
Validity and Responsiveness of At-Home Touch Screen Assessments in Advanced Parkinson's Disease
Correlations between OTS and clinical rating scales were adequate indicating that the test battery contains important elements of the information of well-established scales, and responsiveness and reproducibility were better for OTS than for total UPDRS. Expand
Quantitative assessment of parkinsonian bradykinesia based on an inertial measurement unit
This study introduces a wearable bradykinesia assessment system whose core component is composed of an inertial measurement unit and shows that this system has greater correlation with the evaluations by neurologists than other parkinsonia assessment systems. Expand
High accuracy discrimination of Parkinson's disease participants from healthy controls using smartphones
This study objectively measure and quantify key movement severity symptoms of Parkinson's disease using consumer-grade smartphones with in-built accelerometers, and extracts a range of different features based on the time and frequency-domain properties of the acceleration time series. Expand
Quantitative measurement of motor symptoms in Parkinson's disease: A study with full-body motion capture data
The experimental results indicate that the quantitative measure on spatio-temporal statistics learnt from the motion capture data reveal distinctive differences between mild and severe symptoms. Expand
Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors
This paper presents the results of a pilot study to assess the feasibility of using accelerometer data to estimate the severity of symptoms and motor complications in patients with Parkinson'sExpand
Quantitative wearable sensors for objective assessment of Parkinson's disease
This review discusses promising wearable technology, addresses which parameters should be prioritized in such assessment strategies, and reports about studies that have already investigated daily life issues in PD using this new technology. Expand