The Experts below are selected from a list of 318 Experts worldwide ranked by ideXlab platform
Hyo Suk Nam - One of the best experts on this subject based on the ideXlab platform.
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Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients
Journal of medical Internet research, 2017Co-Authors: Eunjeong Park, Hyuk-jae Chang, Hyo Suk NamAbstract:Background: The Pronator Drift test (PDT), a neurological examination, is widely used in clinics to measure motor weakness of stroke patients. Objective: The aim of this study was to develop a PDT tool with machine learning classifiers to detect stroke symptoms based on quantification of proximal arm weakness using inertial sensors and signal processing. Methods: We extracted features of Drift and pronation from accelerometer signals of wearable devices on the inner wrists of 16 stroke patients and 10 healthy controls. Signal processing and feature selection approach were applied to discriminate PDT features used to classify stroke patients. A series of machine learning techniques, namely support vector machine (SVM), radial basis function network (RBFN), and random forest (RF), were implemented to discriminate stroke patients from controls with leave-one-out cross-validation. Results: Signal processing by the PDT tool extracted a total of 12 PDT features from sensors. Feature selection abstracted the major attributes from the 12 PDT features to elucidate the dominant characteristics of proximal weakness of stroke patients using machine learning classification. Our proposed PDT classifiers had an area under the receiver operating characteristic curve (AUC) of .806 (SVM), .769 (RBFN), and .900 (RF) without feature selection, and feature selection improves the AUCs to .913 (SVM), .956 (RBFN), and .975 (RF), representing an average performance enhancement of 15.3%. Conclusions: Sensors and machine learning methods can reliably detect stroke signs and quantify proximal arm weakness. Our proposed solution will facilitate pervasive monitoring of stroke patients. [J Med Internet Res 2017;19(4):e120]
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An Objective Pronator Drift Test Application (iPronator) Using Handheld Device
PloS one, 2012Co-Authors: Soo Jeong Shin, Eunjeong Park, Dong Hyun Lee, Kijeong Lee, Ji Hoe Heo, Hyo Suk NamAbstract:Background The Pronator Drift test is widely used to detect mild arm weakness. We developed an application that runs on a handheld device to objectify the Pronator Drift test and investigated its feasibility in stroke patients. Methods The iPronator application, which uses the built-in accelerometer in handheld devices, was developed. We enrolled acute ischemic stroke patients (n = 10) with mild arm weakness and healthy controls (n = 10) to validate the iPronator. In addition to conventional neurological examinations, the degree of average, maximum, and oscillation in Drift and pronation were measured and compared using the iPronator. Follow-up tests using the iPronator were also conducted in the patient group one week later. Results There was a strong correlation between the average degree of pronation and Drift measured by the iPronator (r = 0.741, p
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an objective Pronator Drift test application iPronator using handheld device
PLOS ONE, 2012Co-Authors: Soo Jeong Shin, Eunjeong Park, Dong Hyun Lee, Kijeong Lee, Ji Hoe Heo, Hyo Suk NamAbstract:Background The Pronator Drift test is widely used to detect mild arm weakness. We developed an application that runs on a handheld device to objectify the Pronator Drift test and investigated its feasibility in stroke patients. Methods The iPronator application, which uses the built-in accelerometer in handheld devices, was developed. We enrolled acute ischemic stroke patients (n = 10) with mild arm weakness and healthy controls (n = 10) to validate the iPronator. In addition to conventional neurological examinations, the degree of average, maximum, and oscillation in Drift and pronation were measured and compared using the iPronator. Follow-up tests using the iPronator were also conducted in the patient group one week later. Results There was a strong correlation between the average degree of pronation and Drift measured by the iPronator (r = 0.741, p<0.001). The degrees of average and maximum in pronation were greater in the patient group than in the control group [in average, 28.9°, interquartile range (IQR) 18.7–40.3 vs. 3.8° (IQR 0.3–7.5), p<0.001], in maximum, 33.0° (IQR 24.0–52.1) vs. 6.2° (IQR 1.4–9.4), p<0.001]. The degree of oscillation in pronation was not different between the groups (p = 0.166). In Drift, the degrees of average, maximum, and oscillation were greater in the patient group. In stroke patients, a follow-up study at one week revealed improvements in the degrees of pronation and Drift compared with baseline parameters. Conclusions The iPronator can reliably detect mild arm weakness of stroke patients and was also useful in detecting functional recovery for one week in patients with acute stroke.
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An Objective Pronator Drift Test Application (iPronator) Using Handheld Device
2012Co-Authors: Soo Jeong Shin, Eunjeong Park, Dong Hyun Lee, Kijeong Lee, Ji Hoe Heo, Hyo Suk NamAbstract:Background: The Pronator Drift test is widely used to detect mild arm weakness. We developed an application that runs on a handheld device to objectify the Pronator Drift test and investigated its feasibility in stroke patients. Methods: The iPronator application, which uses the built-in accelerometer in handheld devices, was developed. We enrolled acute ischemic stroke patients (n = 10) with mild arm weakness and healthy controls (n = 10) to validate the iPronator. In addition to conventional neurological examinations, the degree of average, maximum, and oscillation in Drift and pronation were measured and compared using the iPronator. Follow-up tests using the iPronator were also conducted in the patient group one week later. Results: There was a strong correlation between the average degree of pronation and Drift measured by the iPronator (r = 0.741, p,0.001). The degrees of average and maximum in pronation were greater in the patient group than in the control group [in average, 28.9u, interquartile range (IQR) 18.7–40.3 vs. 3.8u (IQR 0.3–7.5), p,0.001], in maximum, 33.0u (IQR 24.0–52.1) vs. 6.2u (IQR 1.4–9.4), p,0.001]. The degree of oscillation in pronation was not different between the groups (p = 0.166). In Drift, the degrees of average, maximum, and oscillation were greater in the patient group. In stroke patients, a follow-up study at one week revealed improvements in the degrees of pronation and Drift compared with baseline parameters
Alan R. Hirsch - One of the best experts on this subject based on the ideXlab platform.
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131 A Marionettist Pulling My Strings: A Case of Buprenorphine-induced Chorea.
CNS Spectrums, 2020Co-Authors: Dev N Patel, Ishandeep Gandhi, Faisal Malek, Camille Olechowski, Alan R. HirschAbstract:INTRODUCTION Choreaform movements provoked by opiates is an infrequent adverse event. Buprenorphine induction of chorea has not heretofore been described. Such a case is presented. METHOD Case Study: A 38-year-old female presented with a decade long history of alcohol, cocaine, benzodiazepine, and heroin abuse. The patient was insufflating 1.5 grams of heroin daily. On presentation, she was actively withdrawing, scoring 17 on the Clinical Opioid Withdrawal Scale. Urine toxicology screening was positive for opiates, cocaine, and cannabinoids. Buprenorphine 4 mg sublingual was initiated. Within one hour, she observed, "My legs were moving uncontrollably as if I was a marionette." These dance-like movements were isolated to both legs and gradually resolved after discontinuation of buprenorphine: most of the movements manifested in the first 8 hours, and dissipated over the next 2 days. She did have similar movements after treatment with quetiapine during a previous hospitalization, years earlier. RESULTS Abnormalities in physical examination: General: goiter, bilateral palmar erythema. Neurological examination: Cranial Nerve (CN) Examination: CN I: Alcohol Sniff Test: 2 (anosmia). Motor Examination: Drift testing: mild right Pronator Drift. Reflexes: 3+ bilateral lower extremities. Neuropsychiatric Examination: Clock Drawing Test: 3 (abnormal). Animal Fluency Test: 18 (normal). Go-No-Go Test 6/6 (normal). DISCUSSION Buprenorphine induced chorea could be a result of partial mu-opioid agonism, or kappa and delta receptor antagonism (Burke, 2018; Cowan, 1977). Mu-opioid receptor activation causes increased dopamine turnover in the nigrostriatum, which is responsible for locomotor sensitization (Campos-Jurado, 2017). With the addition of mu-opioid receptor modulation of dopamine release, kappa-opioid receptor alters various neurotransmitters in the basal ganglia, potentiating hyperkinetic movements. Buprenorphine's choreiformogenic action may be due to kappa-opioid receptors ability to augment neurotransmission in the striatum (Escobar, 2017; Bonnet, 1998). The combination of simultaneous activity of these three opioid receptors may cause chorea, since they act to modulate dopamine, glutamate, and GABA in the direct and indirect pathways within the basal ganglia (Abin, 1989; Cui, 2013; Allouche, 2014; Trifilieff, 2013). This patient's history of heroin and cocaine use may have caused supersensitization of dopamine receptors (Memo, 1981), provoking hyperkinesia. Involvement of substance-induced sensitization with concurrent kappa-opioid receptor neurotransmitter augmentation in direct and indirect pathways in the basal ganglia may have primed our patient to the development of chorea after buprenorphine administration. Further investigation for the presence of extrapyramidal movements in those undergoing buprenorphine treatment is warranted.
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No Need for Netflix; TV Rerun Syndrome: The Result of Concurrent Déjà vécu And Hyperfamiliarity for Faces (2882)
Neurology, 2020Co-Authors: Nishi Chandrasekaran, Alan R. Hirsch, Nehal Jain, Filza VayaniAbstract:Objective: To understand why new television shows may appear to be reruns in those with Hyperfamiliarity for Faces (HFF) and Deja vecu. Background: In those with HFF or the sense of familiarity of faces of those who are actually unknown to the patient and Deja vecu, where experiences have already been lived through, the perception that all television shows are reruns has not been described. Design/Methods: This 86 year-old right-handed male paint factory worker, with exposure to myriad solvents, presented with impaired memory, decrease in concentration and Deja vecu. For six months prior to presentation, he believed that every person he saw, was someone he knew, although he was unable to delineate how he knew them. Coincidentally he observed that all new TV shows were reruns that were broadcasted in the past with identical plots, scenes, settings and actors. Nine months after onset, he reported sudden spontaneous resolution of Deja vecu, hyperfamiliarity for strangers and the feeling that TV shows were reruns. This has not recurred in the six months of treatment since then. Results: Neurological Examination: Mental status examination: Recent recall: 0 out of 4 objects in three minutes without reinforcement. Motor Examination: Drift test: Right Pronator Drift with R abductor digiti minimi sign. Gait Examination: Tandem gait unstable. Sensory Examination: Romberg: positive. Vibration absent in all 4 extremities. Reflexes: Absent throughout. Bilateral Positive Hoffman’s reflexes. Bilateral grasp reflexes: present. MRI with and without infusion: Leukoaraiosis, encephalomalacia and gliosis of the right frontal lobe, mild global atrophy, atrophy within the body of the corpus callosum. Electroencephalogram: Slow wave activity in the left frontotemporal region. Conclusions: Corpus callosal lesions may have lead to disconnection underlying both Deja vecu and HFF. Presence of perception of TV reruns should be queried in those who present with HFF, Deja vecu or misidentification syndromes. Disclosure: Dr. Chandrasekaran has nothing to disclose. Dr. Hirsch has nothing to disclose. Dr. Jain has nothing to disclose. Dr. Vayani has nothing to disclose.
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23 “To die, to sleep – to sleep, perchance to dream..." Inhibition of Nightmares with Pramipexole: A Possible Treatment for PTSD
CNS Spectrums, 2019Co-Authors: Freddy Escobar-montealegre, Preet Brar, Alan R. HirschAbstract:AbstractIntroductionThe association of sleep disorders and post-traumatic stress disorder (PTSD) is almost universal. Nightmares are not only one of the most commonly associated but also featured as a diagnostic criterion for PTSD. PTSD-related nightmares are particularly distressing, may impair functioning and increase risk of suicide. No specific pharmacologic agent has been demonstrated to impair dreaming. Inhibition of PTSD-related nightmares with pramipexole has not heretofore been described. Such a case is presented.MethodsCase study - This 60 year-old male with PTSD and trauma-related nightmares upon introduction of pramipexole 0.5mg PO qHS for Restless Leg Syndrome (RLS) had total elimination of dreams, which recurred upon discontinuation of this agent as a result of insomnia and increased anxiety. A lower dose of 0.375mg qHS provided optimal RLS-symptom control and overall improved tolerance despite nightmare recurrence.ResultsAbnormalities on Neurological examination: Recent recall: 2 of 4 objects without improvement with reinforcement. Able to spell the word “world” forwards but not backwards. Abstract thought impaired. Chemosensory testing: Anosmia and normogeusia. Motor: Drift: mild right Pronator Drift with right cerebellar spooning and right abductor digiti minimi sign. Reflexes: 3+ brachioradialis and biceps bilaterally, absent ankle jerks. Other: CT scan with and without contrast: normal.DiscussionNightmares related to PTSD may occur during Rapid Eye Movement (REM) sleep and non-REM sleep. Underlying sympathetic activation may lead to disruptive motor behavior similar to that seen in REM sleep behavior disorder. The exact mechanism of action by which inhibition of dreams occurred with use of pramipexole is unclear. Such a response is consistent with prior documented evidence of REM sleep suppression with low-dose pramipexole such as it‘s efficacy in reducing the intensity and frequency of nightmares and dream enactment related to REM sleep behavior disorder. Further research on therapeutic interventions that target nightmares directly may be beneficial for the management of patients with PTSD.
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61 Heroin Dependence as an Enantiopathy to Quetiapine-Induced Restless Leg Syndrome
CNS Spectrums, 2019Co-Authors: Emma Moghaddam, Edward Lichtenshtein, Sima Patel, Nikhil Rana, Rohan Rana, Alan R. HirschAbstract:AbstractIntroductionUse of heroin in self-management of Restless Leg Syndrome (RLS) has not heretofore been described. Such a case is presented.MethodsCase study: This 29 years old right handed male presented with a long history of major depressive disorder, generalized anxiety disorder and opioid dependence. The Patient felt compelled to take quetiapine since was the only drug found to be effective in controlling racing thoughts, Major Depressive Disorder with psychotic features. Prior to use of quetiapine the patient never experienced RLS. Quetiapine in doses ranging from 25mg to 300mg a day precipitated severe RLS whereby he was forced to move his leg all night long leading to poor sleep quality. The RLS was unresponsive to Gabapentin and Benztropine, however it was eliminated with a variety of opioids including hydrocodone, buprenorphine, buprenorphine/naloxone. Particularly sensitive to heroin, 1/2 twenty dollar bag, self-administered IV prior to sleep eliminated the RLS immediately, but when injected more than four hours before sleep it had no effect. RLS acted only when induced with quetiapine, since he wished to continue quetiapine to control his mood, he felt compelled to self-medicate with heroin to stop RLS side effects. He showed no other signs of extrapyramidal symptomatology or evidence of any other movement disorder.ResultsAbnormalities in physical examination: General: Abundance of tattoos on body and face. Cranial Nerve (CN): CN I: Alcohol Sniff Test: 7cm (anosmia). CN II: Anisocoria OD 5mm OS 2mm. Motor Examination: Drift testing: right Pronator Drift. Cerebellar: Finger to Nose: end point dysmetria bilaterally. Low amplitude high frequency tremor in both upper extremities on extension. Sensory Examination: decreased graphesthesia in both upper extremities. Reflexes: 3+ knee jerks, absent ankle jerks, positive jaw jerk, bilateral palmomental reflex is present.DiscussionThis patient has a long history of quetiapine use due to his major depressive disorder with psychotic features and subsequent self-administration of IV heroin reportedly to reduce the symptoms of quetiapine-induced RLS. Heroin elevates dopamine levels in forebrain by blocking inhibitory GABA interneurons near the ventral tegmental area, leading to activation of mesocorticolimbic dopaminergic neurons (Nakagawa 2008, Steidl 2011). The time frame of opioid administration has a critical impact on its efficacy in improving RLS symptoms. However, the drug’s effects only up to 3 to 6hours (Buchfuhrer 2012). In this case administration of heroin more than 4hours before sleep would not alleviate the RLS symptoms. Patient chose the time of injection, not for hedonic pleasure of heroin, but rather to prevent RLS symptoms. In those with heroin dependence, the possibility that is a result of self-medication of underlying movement disorder warrants additional investigation. In those with RLS who are unresponsive to other treatment modalities, a trial of opioids maybe worthwhile.
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193 A New Syndrome: Phantogeusia-Induced Phantosmia
Cns Spectrums, 2018Co-Authors: Umar Ahmad, Alan R. HirschAbstract:AbstractCase ObjectiveWhile phantosmia-induced phantogeusia has been described (Ahmed, 20173), the reverse, phantogeusia-induced phantosmia, has not heretofore been described. Such a case is presented.MethodsCase Study: A 39-yr-old left-handed (pathological) male, six years prior to presentation, noted a sudden onset of phantogeusia of roast cooking, pizza, fruit, strawberries, or a sour taste, and shortly thereafter he would develop unpleasant phantosmias which would sometimes combine with the ambient aroma. These would occur 3-10 times per week and would last for the duration of the phantogeusia, for as long as 1-2 hours. Occasionally the phantosmia would occur first and then induce the phantogeusia of asour taste.ResultsAbnormalities in Neurologic examination: Mental status examination: Immediate recall: Digit span: 6 digits forward and 3 digits backwards. CN XI, X: Decreased gag bilaterally. Motor Examination: Drift: left Pronator Drift with right abductor digiti minimi sign and right cerebellar spooning. Gait Examination: Tandem Gait: unstable. Cerebellar Examination: Holmes Rebound Phenomena: bilaterally positive, left greater than the right. Sensory Examination: Ipswich Touch Test: decreased in left lower extremity. Temperature: decreased in left lower extremity. Rydel-Seiffer Vibratory Test: bilateral upper extremities 5, bilateral lower extremities 3. Reflexes: upper extremities 1+, absent lower extremities. Neuropsychiatric Examination: Go-No-Go Test: 6/6 (normal). Animal Fluency Test: 15 (normal). Clock Drawing Test: 3 (abnormal). Center for Neurologic Study Lability Scale: 16 (Pseudobulbar affect).ConclusionClose connection of the tertiary smell and taste integration areas, where smell and taste converge, in the posterior orbitofrontal cortex, anterior to the insular taste cortex, and posterior to the granular orbitofrontal cortex may have allowed activation of memory engrams connecting these two (Rolls, 19944). Alternatively, electrical discharge from the primary taste area may have spread to involve the cortical representation of smell. Since the cortical area involved in the interpretation and hedonics of taste co-localize with the area involving olfactory hedonics, spread from one area to the other area may occur. As a result of electrical discharge (from an epileptiform focus) or as a result of well-connected and developed memory engrams with associated hedonics, phantom tastes may induce phantom smells. Alternatively, this may represent a distorted retronasal smell whereby the olfactory component of the gustatory hallucination causes a discharge of the olfactory epithelium (a pseudoretronasal smell).Given the above, treatment of those with both phantosmia and phantogeusia may respond to treatment of phantogeusia alone. Under this construct, the phantosmia is the slave of the phantogeusia whereby management of the taste hallucination will thus eliminate the smell hallucination.Funding AcknowledgementsSmell and Taste Treatment and Research Foundation.
Eunjeong Park - One of the best experts on this subject based on the ideXlab platform.
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Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients
Journal of medical Internet research, 2017Co-Authors: Eunjeong Park, Hyuk-jae Chang, Hyo Suk NamAbstract:Background: The Pronator Drift test (PDT), a neurological examination, is widely used in clinics to measure motor weakness of stroke patients. Objective: The aim of this study was to develop a PDT tool with machine learning classifiers to detect stroke symptoms based on quantification of proximal arm weakness using inertial sensors and signal processing. Methods: We extracted features of Drift and pronation from accelerometer signals of wearable devices on the inner wrists of 16 stroke patients and 10 healthy controls. Signal processing and feature selection approach were applied to discriminate PDT features used to classify stroke patients. A series of machine learning techniques, namely support vector machine (SVM), radial basis function network (RBFN), and random forest (RF), were implemented to discriminate stroke patients from controls with leave-one-out cross-validation. Results: Signal processing by the PDT tool extracted a total of 12 PDT features from sensors. Feature selection abstracted the major attributes from the 12 PDT features to elucidate the dominant characteristics of proximal weakness of stroke patients using machine learning classification. Our proposed PDT classifiers had an area under the receiver operating characteristic curve (AUC) of .806 (SVM), .769 (RBFN), and .900 (RF) without feature selection, and feature selection improves the AUCs to .913 (SVM), .956 (RBFN), and .975 (RF), representing an average performance enhancement of 15.3%. Conclusions: Sensors and machine learning methods can reliably detect stroke signs and quantify proximal arm weakness. Our proposed solution will facilitate pervasive monitoring of stroke patients. [J Med Internet Res 2017;19(4):e120]
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An Objective Pronator Drift Test Application (iPronator) Using Handheld Device
PloS one, 2012Co-Authors: Soo Jeong Shin, Eunjeong Park, Dong Hyun Lee, Kijeong Lee, Ji Hoe Heo, Hyo Suk NamAbstract:Background The Pronator Drift test is widely used to detect mild arm weakness. We developed an application that runs on a handheld device to objectify the Pronator Drift test and investigated its feasibility in stroke patients. Methods The iPronator application, which uses the built-in accelerometer in handheld devices, was developed. We enrolled acute ischemic stroke patients (n = 10) with mild arm weakness and healthy controls (n = 10) to validate the iPronator. In addition to conventional neurological examinations, the degree of average, maximum, and oscillation in Drift and pronation were measured and compared using the iPronator. Follow-up tests using the iPronator were also conducted in the patient group one week later. Results There was a strong correlation between the average degree of pronation and Drift measured by the iPronator (r = 0.741, p
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an objective Pronator Drift test application iPronator using handheld device
PLOS ONE, 2012Co-Authors: Soo Jeong Shin, Eunjeong Park, Dong Hyun Lee, Kijeong Lee, Ji Hoe Heo, Hyo Suk NamAbstract:Background The Pronator Drift test is widely used to detect mild arm weakness. We developed an application that runs on a handheld device to objectify the Pronator Drift test and investigated its feasibility in stroke patients. Methods The iPronator application, which uses the built-in accelerometer in handheld devices, was developed. We enrolled acute ischemic stroke patients (n = 10) with mild arm weakness and healthy controls (n = 10) to validate the iPronator. In addition to conventional neurological examinations, the degree of average, maximum, and oscillation in Drift and pronation were measured and compared using the iPronator. Follow-up tests using the iPronator were also conducted in the patient group one week later. Results There was a strong correlation between the average degree of pronation and Drift measured by the iPronator (r = 0.741, p<0.001). The degrees of average and maximum in pronation were greater in the patient group than in the control group [in average, 28.9°, interquartile range (IQR) 18.7–40.3 vs. 3.8° (IQR 0.3–7.5), p<0.001], in maximum, 33.0° (IQR 24.0–52.1) vs. 6.2° (IQR 1.4–9.4), p<0.001]. The degree of oscillation in pronation was not different between the groups (p = 0.166). In Drift, the degrees of average, maximum, and oscillation were greater in the patient group. In stroke patients, a follow-up study at one week revealed improvements in the degrees of pronation and Drift compared with baseline parameters. Conclusions The iPronator can reliably detect mild arm weakness of stroke patients and was also useful in detecting functional recovery for one week in patients with acute stroke.
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An Objective Pronator Drift Test Application (iPronator) Using Handheld Device
2012Co-Authors: Soo Jeong Shin, Eunjeong Park, Dong Hyun Lee, Kijeong Lee, Ji Hoe Heo, Hyo Suk NamAbstract:Background: The Pronator Drift test is widely used to detect mild arm weakness. We developed an application that runs on a handheld device to objectify the Pronator Drift test and investigated its feasibility in stroke patients. Methods: The iPronator application, which uses the built-in accelerometer in handheld devices, was developed. We enrolled acute ischemic stroke patients (n = 10) with mild arm weakness and healthy controls (n = 10) to validate the iPronator. In addition to conventional neurological examinations, the degree of average, maximum, and oscillation in Drift and pronation were measured and compared using the iPronator. Follow-up tests using the iPronator were also conducted in the patient group one week later. Results: There was a strong correlation between the average degree of pronation and Drift measured by the iPronator (r = 0.741, p,0.001). The degrees of average and maximum in pronation were greater in the patient group than in the control group [in average, 28.9u, interquartile range (IQR) 18.7–40.3 vs. 3.8u (IQR 0.3–7.5), p,0.001], in maximum, 33.0u (IQR 24.0–52.1) vs. 6.2u (IQR 1.4–9.4), p,0.001]. The degree of oscillation in pronation was not different between the groups (p = 0.166). In Drift, the degrees of average, maximum, and oscillation were greater in the patient group. In stroke patients, a follow-up study at one week revealed improvements in the degrees of pronation and Drift compared with baseline parameters
Soo Jeong Shin - One of the best experts on this subject based on the ideXlab platform.
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An Objective Pronator Drift Test Application (iPronator) Using Handheld Device
PloS one, 2012Co-Authors: Soo Jeong Shin, Eunjeong Park, Dong Hyun Lee, Kijeong Lee, Ji Hoe Heo, Hyo Suk NamAbstract:Background The Pronator Drift test is widely used to detect mild arm weakness. We developed an application that runs on a handheld device to objectify the Pronator Drift test and investigated its feasibility in stroke patients. Methods The iPronator application, which uses the built-in accelerometer in handheld devices, was developed. We enrolled acute ischemic stroke patients (n = 10) with mild arm weakness and healthy controls (n = 10) to validate the iPronator. In addition to conventional neurological examinations, the degree of average, maximum, and oscillation in Drift and pronation were measured and compared using the iPronator. Follow-up tests using the iPronator were also conducted in the patient group one week later. Results There was a strong correlation between the average degree of pronation and Drift measured by the iPronator (r = 0.741, p
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an objective Pronator Drift test application iPronator using handheld device
PLOS ONE, 2012Co-Authors: Soo Jeong Shin, Eunjeong Park, Dong Hyun Lee, Kijeong Lee, Ji Hoe Heo, Hyo Suk NamAbstract:Background The Pronator Drift test is widely used to detect mild arm weakness. We developed an application that runs on a handheld device to objectify the Pronator Drift test and investigated its feasibility in stroke patients. Methods The iPronator application, which uses the built-in accelerometer in handheld devices, was developed. We enrolled acute ischemic stroke patients (n = 10) with mild arm weakness and healthy controls (n = 10) to validate the iPronator. In addition to conventional neurological examinations, the degree of average, maximum, and oscillation in Drift and pronation were measured and compared using the iPronator. Follow-up tests using the iPronator were also conducted in the patient group one week later. Results There was a strong correlation between the average degree of pronation and Drift measured by the iPronator (r = 0.741, p<0.001). The degrees of average and maximum in pronation were greater in the patient group than in the control group [in average, 28.9°, interquartile range (IQR) 18.7–40.3 vs. 3.8° (IQR 0.3–7.5), p<0.001], in maximum, 33.0° (IQR 24.0–52.1) vs. 6.2° (IQR 1.4–9.4), p<0.001]. The degree of oscillation in pronation was not different between the groups (p = 0.166). In Drift, the degrees of average, maximum, and oscillation were greater in the patient group. In stroke patients, a follow-up study at one week revealed improvements in the degrees of pronation and Drift compared with baseline parameters. Conclusions The iPronator can reliably detect mild arm weakness of stroke patients and was also useful in detecting functional recovery for one week in patients with acute stroke.
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An Objective Pronator Drift Test Application (iPronator) Using Handheld Device
2012Co-Authors: Soo Jeong Shin, Eunjeong Park, Dong Hyun Lee, Kijeong Lee, Ji Hoe Heo, Hyo Suk NamAbstract:Background: The Pronator Drift test is widely used to detect mild arm weakness. We developed an application that runs on a handheld device to objectify the Pronator Drift test and investigated its feasibility in stroke patients. Methods: The iPronator application, which uses the built-in accelerometer in handheld devices, was developed. We enrolled acute ischemic stroke patients (n = 10) with mild arm weakness and healthy controls (n = 10) to validate the iPronator. In addition to conventional neurological examinations, the degree of average, maximum, and oscillation in Drift and pronation were measured and compared using the iPronator. Follow-up tests using the iPronator were also conducted in the patient group one week later. Results: There was a strong correlation between the average degree of pronation and Drift measured by the iPronator (r = 0.741, p,0.001). The degrees of average and maximum in pronation were greater in the patient group than in the control group [in average, 28.9u, interquartile range (IQR) 18.7–40.3 vs. 3.8u (IQR 0.3–7.5), p,0.001], in maximum, 33.0u (IQR 24.0–52.1) vs. 6.2u (IQR 1.4–9.4), p,0.001]. The degree of oscillation in pronation was not different between the groups (p = 0.166). In Drift, the degrees of average, maximum, and oscillation were greater in the patient group. In stroke patients, a follow-up study at one week revealed improvements in the degrees of pronation and Drift compared with baseline parameters
Ji Hoe Heo - One of the best experts on this subject based on the ideXlab platform.
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An Objective Pronator Drift Test Application (iPronator) Using Handheld Device
PloS one, 2012Co-Authors: Soo Jeong Shin, Eunjeong Park, Dong Hyun Lee, Kijeong Lee, Ji Hoe Heo, Hyo Suk NamAbstract:Background The Pronator Drift test is widely used to detect mild arm weakness. We developed an application that runs on a handheld device to objectify the Pronator Drift test and investigated its feasibility in stroke patients. Methods The iPronator application, which uses the built-in accelerometer in handheld devices, was developed. We enrolled acute ischemic stroke patients (n = 10) with mild arm weakness and healthy controls (n = 10) to validate the iPronator. In addition to conventional neurological examinations, the degree of average, maximum, and oscillation in Drift and pronation were measured and compared using the iPronator. Follow-up tests using the iPronator were also conducted in the patient group one week later. Results There was a strong correlation between the average degree of pronation and Drift measured by the iPronator (r = 0.741, p
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an objective Pronator Drift test application iPronator using handheld device
PLOS ONE, 2012Co-Authors: Soo Jeong Shin, Eunjeong Park, Dong Hyun Lee, Kijeong Lee, Ji Hoe Heo, Hyo Suk NamAbstract:Background The Pronator Drift test is widely used to detect mild arm weakness. We developed an application that runs on a handheld device to objectify the Pronator Drift test and investigated its feasibility in stroke patients. Methods The iPronator application, which uses the built-in accelerometer in handheld devices, was developed. We enrolled acute ischemic stroke patients (n = 10) with mild arm weakness and healthy controls (n = 10) to validate the iPronator. In addition to conventional neurological examinations, the degree of average, maximum, and oscillation in Drift and pronation were measured and compared using the iPronator. Follow-up tests using the iPronator were also conducted in the patient group one week later. Results There was a strong correlation between the average degree of pronation and Drift measured by the iPronator (r = 0.741, p<0.001). The degrees of average and maximum in pronation were greater in the patient group than in the control group [in average, 28.9°, interquartile range (IQR) 18.7–40.3 vs. 3.8° (IQR 0.3–7.5), p<0.001], in maximum, 33.0° (IQR 24.0–52.1) vs. 6.2° (IQR 1.4–9.4), p<0.001]. The degree of oscillation in pronation was not different between the groups (p = 0.166). In Drift, the degrees of average, maximum, and oscillation were greater in the patient group. In stroke patients, a follow-up study at one week revealed improvements in the degrees of pronation and Drift compared with baseline parameters. Conclusions The iPronator can reliably detect mild arm weakness of stroke patients and was also useful in detecting functional recovery for one week in patients with acute stroke.
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An Objective Pronator Drift Test Application (iPronator) Using Handheld Device
2012Co-Authors: Soo Jeong Shin, Eunjeong Park, Dong Hyun Lee, Kijeong Lee, Ji Hoe Heo, Hyo Suk NamAbstract:Background: The Pronator Drift test is widely used to detect mild arm weakness. We developed an application that runs on a handheld device to objectify the Pronator Drift test and investigated its feasibility in stroke patients. Methods: The iPronator application, which uses the built-in accelerometer in handheld devices, was developed. We enrolled acute ischemic stroke patients (n = 10) with mild arm weakness and healthy controls (n = 10) to validate the iPronator. In addition to conventional neurological examinations, the degree of average, maximum, and oscillation in Drift and pronation were measured and compared using the iPronator. Follow-up tests using the iPronator were also conducted in the patient group one week later. Results: There was a strong correlation between the average degree of pronation and Drift measured by the iPronator (r = 0.741, p,0.001). The degrees of average and maximum in pronation were greater in the patient group than in the control group [in average, 28.9u, interquartile range (IQR) 18.7–40.3 vs. 3.8u (IQR 0.3–7.5), p,0.001], in maximum, 33.0u (IQR 24.0–52.1) vs. 6.2u (IQR 1.4–9.4), p,0.001]. The degree of oscillation in pronation was not different between the groups (p = 0.166). In Drift, the degrees of average, maximum, and oscillation were greater in the patient group. In stroke patients, a follow-up study at one week revealed improvements in the degrees of pronation and Drift compared with baseline parameters
