Comparison of early clinical outcome in carpal tunnel release - mini-open technique with palmar incision vs. endoscopic technique with wrist crease incision.

BACKGROUND: The purpose of this study was to examine two techniques for Carpal Tunnel Syndrome, mini-Open Carpal Tunnel Release (mini-OCTR) and Endoscopic Carpal Tunnel Release (ECTR), to compare their therapeutic efficacy. METHODS: Sixteen patients who underwent mini-OCTR in palmar incision and 17 patients who underwent ECTR in the wrist crease incision were included in the study. All patients presented preoperatively and at 1, 3, and 6 months postoperatively and were assessed with the Visual Analogue Scale (VAS) and the Disabilities of Arm, Shoulder and Hand Score (DASH). We also assessed the pain and cosmetic VAS of the entire affected hand or surgical wound, and the patient's satisfaction with the surgery. RESULTS: In the objective evaluation, both surgical techniques showed improvement at 6 months postoperatively. The DASH score was significantly lower in the ECTR group (average = 3 months: 13.6, 6 months: 11.9) than in the mini-OCTR group (average = 3 months: 27.3, 6 months: 20.6) at 3 and 6 months postoperatively. Also, the pain VAS score was significantly lower in the ECTR group (average = 17.1) than in the mini-OCTR group (average = 36.6) at 3 months postoperatively. The cosmetic VAS was significantly lower in the ECTR group (average = 1 month: 15.3, 3 months: 12.2, 6 months: 5.41) than in the mini-OCTR group (average = 1 month: 33.3, 3 months: 31.2, 6 months: 24.8) at all time points postoperatively. Patient satisfaction scores tended to be higher in the ECTR group (average = 3.3) compared to the mini-OCTR group (average = 2.7). CONCLUSIONS: ECTR in wrist increase incision resulted in better pain and cosmetic recovery in an early postoperative phase compared with mini-OCTR in palmar incision. Our findings suggest that ECTR is an effective technique for patient satisfaction.

Perineural 5% dextrose versus corticosteroid injection in non-surgical carpal tunnel syndrom treatment.

Background and purpose:

We aimed to investigate the difference of clinical and electrophysiological improvement between perineural corticosteroid injection therapy (PCIT) and perineural 5% dextrose injection therapy (5%PDIT) in carpal tunnel syndrome (CTS).

Total of 92 wrists that were diagnosed as mild-to-moderate idiopathic CTS and completed their follow-up were included in our study. The severity of pain, symptom severity and functional status were asses­sed by visual analog scale (VAS) and the Boston Carpal Tunnel Syndrome Questionnaire (BCTQ) scores for treatment effectiveness. Randomized wrists were administered PCIT or 5%PDIT accompanied by ultrasound guidance. VAS, BCTQ scores and the electro­physiological study repeated before and after treatment at the 1st and 6th months after perineural injection therapies (PITs) were recorded.

Compared with baseline data, within groups there was significant improvement in VAS, BCTQ severity and function scores at 1st and 6th months follow-up (all p < 0.001). Considerable advance were detected in the median sensory nerve conduction velocity (SNCV) when pretreatment values were compared with posttreatment first month in both groups (p = 0.01; p < 0.001, respectively). No significant change occurred in median distal motor latency (DML) values between the 1st and 6th months in the groups (p = 0.095; p = 0.113, respectively). No significant difference was observed bet­ween 5%PDIT and PCIT groups.

Clinical and electrophysiologic improvement in CTS began from 1st month after PCIT and 5%PDIT. At the 6th month follow-up of the patients, 5%PDIT and PCIT had similar therapeutic effects. As a result, we can consider the replacement of PCIT with 5%PDIT in mild-to-moderate CTS patients especially in those who are hesitant because of the corticosteroid’s adverse effects.

Research hotspots and trend of wrist arthroscopy: A bibliometrics analysis from 2013 to 2023.

BACKGROUND: Wrist arthroscopy technology is a surgical technology invented in recent years and widely used in clinical treatment of various wrist diseases. This study uses the methods of bibliometrics and visual analysis to understand the global research status, research hotspots, and future development trends of wrist arthroscopy. METHODS: The relevant literature of global publications on wrist arthroscopy from 2013 to 2023 was extracted from the Web of Science Core Collection database, and the annual output, cooperation, hot spots, research status, and development trend of this field were analyzed by using the bibliometric software (VOSviewers, CiteSpace, and the R package "Bibliometrix"). RESULTS: A total of 635 articles were included, from 2013 to 2023, the number of publications related to wrist arthroscopy showed an overall upward trend, the USA, France, and China are the top 3 countries in terms of the number of publications, whereas Mayo Clinic is the institution with the highest number of publications, Ho PC holds a core position in this field, keyword analysis indicates that the research hotspots are the applications of wrist arthroscopy in triangular fibrocartilage complex injuries, scaphoid nonunion, and avascular necrosis of the lunate. CONCLUSION SUBSECTIONS: Wrist arthroscopy has shown tremendous potential in treating various wrist diseases. However, there are still some challenges in its research domain. With continuous deep research, strengthened international collaboration, and ongoing technological advancements, wrist arthroscopy has the potential to become the standard treatment in hand surgery, offering more efficient and safer treatment options for patients worldwide.

Biomechanical Assessment Methods Used in Chronic Stroke: A Scoping Review of Non-Linear Approaches.

Non-linear and dynamic systems analysis of human movement has recently become increasingly widespread with the intention of better reflecting how complexity affects the adaptability of motor systems, especially after a stroke. The main objective of this scoping review was to summarize the non-linear measures used in the analysis of kinetic, kinematic, and EMG data of human movement after stroke. PRISMA-ScR guidelines were followed, establishing the eligibility criteria, the population, the concept, and the contextual framework. The examined studies were published between 1 January 2013 and 12 April 2023, in English or Portuguese, and were indexed in the databases selected for this research: PubMed®, Web of Science®, Institute of Electrical and Electronics Engineers®, Science Direct® and Google Scholar®. In total, 14 of the 763 articles met the inclusion criteria. The non-linear measures identified included entropy (n = 11), fractal analysis (n = 1), the short-term local divergence exponent (n = 1), the maximum Floquet multiplier (n = 1), and the Lyapunov exponent (n = 1). These studies focused on different motor tasks: reaching to grasp (n = 2), reaching to point (n = 1), arm tracking (n = 2), elbow flexion (n = 5), elbow extension (n = 1), wrist and finger extension upward (lifting) (n = 1), knee extension (n = 1), and walking (n = 4). When studying the complexity of human movement in chronic post-stroke adults, entropy measures, particularly sample entropy, were preferred. Kinematic assessment was mainly performed using motion capture systems, with a focus on joint angles of the upper limbs.

An OpenSim-Based Closed-Loop Biomechanical Wrist Model for Subject-Specific Pathological Tremor Simulation.

OBJECTIVE: A pathological tremor (PT) is an involuntary rhythmic movement of varying frequency and amplitude that affects voluntary motion, thus compromising individuals' independence. A comprehensive model incorporating PT's physiological and biomechanical aspects can enhance our understanding of the disorder and provide valuable insights for therapeutic approaches. This study aims to build a biomechanical model of pathological tremors using OpenSim's realistic musculoskeletal representation of the human wrist with two degrees of freedom. METHODS: We implemented a Matlab/OpenSim interface for a forward dynamics simulation, which allows for the modeling, simulation, and design of a physiological H∞ closed-loop control. This system replicates pathological tremors similar to those observed in patients when their arm is extended forward, the wrist is pronated, and the hand is subject to gravity forces. The model was individually tuned to five subjects (four Parkinson's disease patients and one diagnosed with essential tremor), each exhibiting distinct tremor characteristics measured by an inertial sensor and surface EMG electrodes. Simulation agreement with the experiments for EMGs, central frequency, joint angles, and angular velocities were evaluated by Jensen-Shannon divergence, histogram centroid error, and histogram intersection. RESULTS: The model emulated individual tremor statistical characteristics, including muscle activations, frequency, variability, and wrist kinematics, with greater accuracy for the four Parkinson's patients than the essential tremor. CONCLUSION: The proposed model replicated the main statistical features of subject-specific wrist tremor kinematics. SIGNIFICANCE: Our methodology may facilitate the design of patient-specific rehabilitation devices for tremor suppression, such as neural prostheses and electromechanical orthoses.

Comparison of the validity and reliability of three different methods used for wrist proprioception measurement.

BACKGROUND: ː Early detection of loss of proprioception is essential to prevent injury and maintain professional work activities. However, although many different methods are present for wrist proprioception measurement, these methods' validity and reliability studies are quite limited. OBJECTIVE: To compare the validity and reliability of the goniometer, inclinometer, and joint position sense goniometer methods used in measuring wrist active joint position sense (AJPS). METHODS: ː Thirty-two volunteer healthy participants (64 wrists) between the ages of 19-31 (mean age:23,34 ± 3,84) were included in the study. Wrist AJPS was assessed with an isokinetic dynamometer as a reference standard in addition to an inclinometer, goniometer, and joint position sense goniometer (JPSG). Spearman's Correlation Coefficient was used for validity analysis, and Intraclass Correlation Coefficient (ICC3,1) was used to analyze test-retest reliability. RESULTS: ː It was found that the goniometer (p < 0.001, r = 0.529) is a moderately valid method to assess active wrist joint position sense. The JPSG (p < 0.001, r = 0.432) and inclinometer (p = 0.005, r = 0.350) have weak validity. According to the results of ICC3,1 analysis, the goniometer (p < 0.001, ICC3,1 = 0.422) and JPSG (p < 0.001, ICC3,1 = 0.369) were found to have poor reliability in assessing wrist AJPS, and the inclinometer (p = 0,183, ICC3,1 = 0,114) was not found as a reliable method. CONCLUSIONS: ː Our results suggest that the JPSG and inclinometer should not be used in the wrist active joint position sense evaluation because of weak validity and poor reliability. The goniometer can be used in clinics and academic research to evaluate wrist joint position sense if the rater lacks a reliable and valid measurement tool.

Higher densities of T-lymphocytes in the subsynovial connective tissue of people with carpal tunnel syndrome.

Symptoms in people with carpal tunnel syndrome (CTS) are traditionally attributed to neural tissue, but recent studies suggest that the subsynovial connective tissue (SSCT) may also play a role in CTS. The SSCT undergoes fibrotic thickening which is generally described as "non-inflammatory" based on basic histology. This study uses immunohistochemistry to determine the presence of macrophages and T-cells within SSCT and their relationship with symptoms in people with CTS. SSCT was collected from twenty people with CTS and eight controls undergoing wrist fracture surgery. Immunohistochemical quantification of CD3+ T-cells and CD68+ macrophage densities as well as CD4+/CD8+ T-cell subpopulations were compared between groups using independent t-tests. Spearman correlations were used to identify associations between immune cell densities and CTS symptom scores. The density of CD3+ T-cells was significantly higher in SSCT of people with CTS compared to controls (CTS mean 26.7 (SD 13.7); controls 6.78 (6.3), p = 0.0005) while the density of CD68+ macrophages was lower (CTS mean 9.5 (SD 6.0); controls 17.7 (8.2), p = 0.0058). Neither CD68+ nor CD3+ cell densities correlated with symptom scores. In contrast to previous assumptions, our data show that the SSCT in the carpal tunnel in both people with CTS and controls is not devoid of immune cells. Whereas the higher density of CD68+ macrophages in control participants may be associated with their early recruitment after acute fracture, CD3+ cells within the SSCT may play a role in chronic CTS.

Development of a multi-wear-site, deep learning-based physical activity intensity classification algorithm using raw acceleration data.

BACKGROUND: Accelerometers are widely adopted in research and consumer devices as a tool to measure physical activity. However, existing algorithms used to estimate activity intensity are wear-site-specific. Non-compliance to wear instructions may lead to misspecifications. In this study, we developed deep neural network models to classify device placement and activity intensity based on raw acceleration data. Performances of these models were evaluated by making comparisons to the ground truth and results derived from existing count-based algorithms. METHODS: 54 participants (26 adults 26.9±8.7 years; 28 children, 12.1±2.3 years) completed a series of activity tasks in a laboratory with accelerometers attached to each of their hip, wrist, and chest. Their metabolic rates at rest and during activity periods were measured using the portable COSMED K5; data were then converted to metabolic equivalents, and used as the ground truth for activity intensity. Deep neutral networks using the Long Short-Term Memory approach were trained and evaluated based on raw acceleration data collected from accelerometers. Models to classify wear-site and activity intensity, respectively, were evaluated. RESULTS: The trained models correctly classified wear-sites and activity intensities over 90% of the time, which outperformed count-based algorithms (wear-site correctly specified: 83% to 85%; wear-site misspecified: 64% to 75%). When additional parameters of age, height and weight of participants were specified, the accuracy of some prediction models surpassed 95%. CONCLUSIONS: Results of the study suggest that accelerometer placement could be determined prospectively, and non-wear-site-specific algorithms had satisfactory accuracies. The performances, in terms of intensity classification, of these models also exceeded typical count-based algorithms. Without being restricted to one specific wear-site, research protocols for accelerometers wear could allow more autonomy to participants, which may in turn improve their acceptance and compliance to wear protocols, and in turn more accurate results.

Criterion-Related Validity of Consumer-Wearable Activity Trackers for Estimating Steps in Primary Schoolchildren under Controlled Conditions: Fit-Person Study.

The purposes were to examine the criterion-related validity of the steps estimated by consumer-wearable activity trackers (wrist-worn activity trackers: Fitbit Ace 2, Garmin Vivofit Jr, and Xiomi Mi Band 5; smartphone applications: Pedometer, Pedometer Pacer Health, and Google Fit/Apple Health) and their comparability in primary schoolchildren under controlled conditions. An initial sample of 66 primary schoolchildren (final sample = 56; 46.4% females), aged 9-12 years old (mean = 10.4 ± 1.0 years), wore three wrist-worn activity trackers (Fitbit Ace 2, Garmin Vivofit Jr 2, and Xiaomi Mi Band 5) on their non-dominant wrist and had three applications in two smartphones (Pedometer, Pedometer Pacer Health, and Google Fit/Apple Health for Android/iOS installed in Samsung Galaxy S20+/iPhone 11 Pro Max) in simulated front trouser pockets. Primary schoolchildren's steps estimated by the consumer-wearable activity trackers and the video-based counting independently by two researchers (gold standard) were recorded while they performed a 200-meter course in slow, normal and brisk pace walking, and running conditions. Results showed that the criterion-related validity of the step scores estimated by the three Samsung applications and the Garmin Vivofit Jr 2 were good-excellent in the four walking/running conditions (e.g., MAPE = 0.6-2.3%; lower 95% CI of the ICC = 0.81-0.99), as well as being comparable. However, the Apple applications, Fitbit Ace 2, and Xiaomi Mi Band 5 showed poor criterion-related validity and comparability on some walking/running conditions (e.g., lower 95% CI of the ICC < 0.70). Although, as in real life primary schoolchildren also place their smartphones in other parts (e.g., schoolbags, hands or even somewhere away from the body), the criterion-related validity of the Garmin Vivofit Jr 2 potentially would be considerably higher than that of the Samsung applications. The findings of the present study highlight the potential of the Garmin Vivofit Jr 2 for monitoring primary schoolchildren's steps under controlled conditions.

Wrist Arthroscopy-Assisted Reduction for Distal Radius Fracture and its Associated Injuries: Clinical Observation of Triangular Fibrocartilage Complex Injuries.

BACKGROUND: To compare the clinical effects between wrist arthroscopy-assisted open reduction plus internal fixation, using the triangular fibrocartilage complex (TFCC) as an example, and simple open reduction plus internal fixation in the treatment of distal radius fractures (DRFs). The study aims to assess the efficacy of arthroscopic-assisted open reduction and internal fixation in treating distal radius fractures. METHODS: The study utilized a retrospective cohort research approach, involving 60 patients treated at Binzhou Medical University Hospital between August 2021 and October 2022. These patients met the specified criteria and underwent two distinct surgical procedures for DRFs. Prior to surgery, thorough communication was established with the patients to elucidate the advantages, risks, and associated costs of wrist arthroscopy, and informed consent was obtained. Subsequent to the surgeries, postoperative follow-up was conducted to evaluate the variances between the two treatment modalities. Postoperative analysis and assessment encompassed the patients' Visual Analogue Scale (VAS) scores, Cooney wrist scores, grip strength of the affected limb (in comparison with the healthy side), wrist range of motion, and the frequency of intraoperative fluoroscopy usage. RESULTS: No surgical complications were observed among all patients. They were followed up for an average duration of (12.1 ± 1.3) months postoperatively, during which all fractures healed successfully. Within the treatment group, arthroscopy detected 14 cases of TFCC tears during the operation, all of which were repaired under a microscope. Conversely, physical examination identified three cases of TFCC injury in the control group, which were treated via incision and suture. At the 3-month postoperative mark, the treatment group exhibited significantly superior comprehensive scores for wrist pain, grip strength, and wrist range of motion compared to the control group (p < 0.05). Cooney's comprehensive wrist joint scoring yielded the following results: treatment group - excellent in 21 cases, good in five cases, and moderate in four cases; control group - excellent in 16 cases, good in nine cases, and moderate in five cases. CONCLUSION: Wrist arthroscopy-assisted surgery facilitates precise reduction of the articular surface and alleviation of intraarticular congestion. Moreover, it enables evaluation and repair of concurrent intra-articular injuries such as TFCC tears and other tissue injuries, thereby reducing the likelihood of chronic wrist pain. Consequently, this technique should be deemed valuable in clinical practice owing to its outstanding clinical efficacy.

Impact of early rehabilitation therapy on functional outcomes in patients post distal radius fracture surgery: a systematic review and meta-analysis.

BACKGROUND: This meta-analysis aims to investigate the efficacy of early rehabilitation on patients who have undergone surgery for distal radius fractures (DRFs) with palmar plating, focusing on multiple outcome measures including upper limb function, wrist function, back extension mobility, pain levels, and complications. METHODS: A rigorous search strategy adhering to the PRISMA guidelines was employed across four major databases, including PubMed, Embase, Web of Science, and the Cochrane Library. Studies were included based on stringent criteria, and data extraction was performed independently by two reviewers. Meta-analysis was conducted employing both fixed-effect and random-effects models as dictated by heterogeneity, assessed by the I2 statistic and chi-square tests. A total of 7 studies, encompassing diverse demographic groups and timelines, were included for the final analysis. RESULTS: The meta-analysis disclosed that early rehabilitation yielded a statistically significant improvement in upper limb function (SMD -0.27; 95% CI -0.48 to -0.07; P < 0.0001) and back extension mobility (SMD 0.26; 95% CI 0.04 to 0.48; P = 0.021). A notable reduction in pain levels was observed in the early rehabilitation group (SMD -0.28; 95% CI -0.53 to -0.02; P = 0.03). However, there were no significant differences in wrist function (SMD -0.13; 95% CI -0.38 to 0.12; P = 0.36) and complications (OR 0.99; 95% CI 0.61 to 1.61; P = 0.96). CONCLUSIONS: Early rehabilitation post-DRF surgery with palmar plating has been found to be beneficial in enhancing upper limb functionality and back extension mobility, and in reducing pain levels. Nevertheless, no significant impact was observed regarding wrist function and complications.

Associations between Neck Circumference, Mid-Upper Arm Circumference, Wrist Circumference, and High Blood Pressure among Lithuanian Children and Adolescents: A Cross-Sectional Study.

(1) Background: High blood pressure (HBP) and obesity are significant and growing public health issues worldwide. Our study aimed to evaluate the associations of neck circumference (NC), mid-upper arm circumference (MUAC), and wrist circumference (WrC) with HBP among Lithuanian children and adolescents aged 7-17 years. (2) Methods: In this cross-sectional study, data on BP and anthropometric measurements were analysed in 3688 children and adolescents aged 7-17 years. Multivariate logistic regression analysis was used to estimate the associations between anthropometric indices and HBP. (3) Results: Overall, the prevalence rates of elevated BP and hypertension were 13.7% and 12.9%, respectively. After adjustment for age, BMI, and WC, statistically significant elevated aORs were observed for associations between greater NC, MUAC, WrC, and HBP in boys (aORs: 2.13, 2.46, and 2.48, respectively) and in girls (aORs: 2.01, 2.36, and 2.09, respectively). Moreover, per-unit increase in NC, MUAC, and WrC was also associated with greater odds of HBP in boys (aORs: 1.20, 1.21, and 1.37, respectively) and in girls (aORs: 1.10, 1.10, and 1.21, respectively). The analysed anthropometric indices presented higher area under the curve values for predicting HBP in boys than in girls. (4) Conclusions: This study suggests that higher NC, MUAC, and WrC are associated with increased odds of HBP in Lithuanian children and adolescents.

Novel near E-Field Topography Sensor for Human-Machine Interfacing in Robotic Applications.

This work investigates a new sensing technology for use in robotic human-machine interface (HMI) applications. The proposed method uses near E-field sensing to measure small changes in the limb surface topography due to muscle actuation over time. The sensors introduced in this work provide a non-contact, low-computational-cost, and low-noise method for sensing muscle activity. By evaluating the key sensor characteristics, such as accuracy, hysteresis, and resolution, the performance of this sensor is validated. Then, to understand the potential performance in intention detection, the unmodified digital output of the sensor is analysed against movements of the hand and fingers. This is done to demonstrate the worst-case scenario and to show that the sensor provides highly targeted and relevant data on muscle activation before any further processing. Finally, a convolutional neural network is used to perform joint angle prediction over nine degrees of freedom, achieving high-level regression performance with an RMSE value of less than six degrees for thumb and wrist movements and 11 degrees for finger movements. This work demonstrates the promising performance of this novel approach to sensing for use in human-machine interfaces.

Wrist-Based Fall Detection: Towards Generalization across Datasets.

Increasing age is related to a decrease in independence of movement and with this decrease comes falls, millions of falls occur every year and the most affected people are the older adults. These falls usually have a big impact on health and independence of the older adults, as well as financial impact on the health systems. Thus, many studies have developed fall detectors from several types of sensors. Previous studies related to the creation of fall detection systems models use only one dataset that usually has a small number of samples. Training and testing machine learning models in this small scope: (i) yield overoptimistic classification rates, (ii) do not generalize to real-life situations and (iii) have very high rate of false positives. Given this, the proposal of this research work is the creation of a new dataset that encompasses data from three different datasets, with more than 1300 fall samples and 28 K negative samples. Our new dataset includes a standard way of adding samples, which allow the future addition of other data sources. We evaluate our dataset by using classic cost-sensitive Machine Leaning methods that deal with class imbalance. For the training and validation of this model, a set of temporal and frequency features were extracted from the raw data of an accelerometer and a gyroscope using a sliding window of 2 s with an overlap of 50%. We study the generalization properties of each dataset, by testing on the other datasets and also the performance of our new dataset. The model showed a good ability to distinguish between activities of daily living and falls, achieving a recall of 90.57%, a specificity of 96.91% and an Area Under the Receiver Operating Characteristic curve (AUC-ROC) value of 98.85% against the combination of three datasets.

Measuring Upper Extremity Activity of Children With Unilateral Cerebral Palsy Using Wrist-Worn Accelerometers: A Pilot Study.

IMPORTANCE: Children with unilateral cerebral palsy (UCP) have poor strength and movement control on one side of their body, leading to impaired bimanual coordination skills. OBJECTIVE: To compare duration and intensity of all-day habitual movement of the dominant and nondominant upper extremities (UEs) in typically developing (TD) children and children with UCP. DESIGN: Two-group observational study. SETTING: Children's naturalistic settings. PARTICIPANTS: Convenience sample of 9 TD children and 9 children with UCP. INTERVENTION: Children wore accelerometers on both wrists all day and night for 1 wk. OUTCOMES AND MEASURES: We compared the extent of asymmetry in bilateral arm use (intensity and duration) between the 2 groups. RESULTS: Compared with TD children who use both UEs equally, children with UCP were more likely to use their dominant or unaffected UE than their nondominant or affected UE during daily activities. There were no differences between groups in dominant UE activity. However, children with UCP engaged in lower levels of moderate to vigorous activity and greater levels of light activity with their nondominant or affected UE than their TD peers. CONCLUSIONS AND RELEVANCE: Wrist-worn accelerometry can provide objective information on real-world habitual activity with both arms in children. Accelerometers are nonintrusive, easy to use, and well tolerated by children, and they allow prolonged monitoring of UE activity outside therapeutic contexts. Occupational therapists can use wrist-worn accelerometers as sensitive tools to assess asymmetries in UE use at baseline and as an outcome measure to assess the efficacy of behavioral interventions and carryover into real-world settings among children with UCP. Plain-Language Summary: This pilot study provides promising evidence that supports the use of wrist-worn accelerometry as an accurate, easy-to-use, and objective assessment tool for children with unilateral cerebral palsy (UCP) to detect asymmetries in bilateral real-world arm activity at baseline and after intensive occupational therapy interventions to improve arm function. The authors used wrist-worn accelerometry for one week with 9 typically developing (TD) children and 9 children with UCP to compare dominant or unaffected versus nondominant or affected upper extremity (UE) use for intensity and duration of activity. Compared with TD children, children with UCP had lower relative intensity of activity in the nondominant UE than the dominant UE. Wrist-worn accelerometers seem to be a sensitive measure to detect asymmetries in bilateral all-day UE use in children with UCP. The findings have implications for the use of wrist-worn accelerometers as an outcome measure to assess the efficacy of intensive therapies to improve real-world affected UE activity and bimanual function among children with UCP.

Whole-body and targeted narrowband ultraviolet B phototherapy effectively stabilize acral vitiligo with negligible repigmentation beyond wrists and ankles: Results from a split-body randomized controlled trial.

BACKGROUND: Narrowband ultraviolet B (NB-UVB) phototherapy promotes stability and repigmentation in vitiligo. No studies have compared targeted NB-UVB with whole-body NB-UVB in treatment of acral vitiligo. OBJECTIVES: This randomized split-body study compared whole-body NB-UVB with targeted NB-UVB in inducing stability and repigmentation in acral vitiligo. METHODS: Thirty-two patients with bilaterally symmetrical acral vitiligo lesions (distal to elbows and knees) were recruited. Patients received whole-body NB-UVB treatment, with one hand and one foot shielded until elbow and knee, followed by targeted NB-UVB treatment on the shielded side. Patients were assessed at 4-week intervals for 24 weeks using Vitiligo Disease Activity (VIDA) score, Vitiligo Skin Activity Score (VSAS), Vitiligo Area Scoring Index (determined through fingertip method, using the method to calculate facial-VASI) and degree of repigmentation. RESULTS: After 12 weeks, 87.5% of patients achieved a VIDA score of 3, with none having active disease at 24 weeks. Over 50% repigmentation was observed in 42.2% and 37.5% of limbs in whole-body and targeted groups, respectively (p = .95). No improvement in F-VASI scores of hands and feet (distal to wrist and ankles) was noted with either modality over the 24-week period. CONCLUSION: Our study showed comparable repigmentation rates between whole-body and targeted NB-UVB groups. Limited effectiveness of phototherapy in repigmentation of hands and feet underscores an important therapeutic gap.

A Low-Cost Wearable Device to Estimate Body Temperature Based on Wrist Temperature.

The remote monitoring of vital signs and healthcare provision has become an urgent necessity due to the impact of the COVID-19 pandemic on the world. Blood oxygen level, heart rate, and body temperature data are crucial for managing the disease and ensuring timely medical care. This study proposes a low-cost wearable device employing non-contact sensors to monitor, process, and visualize critical variables, focusing on body temperature measurement as a key health indicator. The wearable device developed offers a non-invasive and continuous method to gather wrist and forehead temperature data. However, since there is a discrepancy between wrist and actual forehead temperature, this study incorporates statistical methods and machine learning to estimate the core forehead temperature from the wrist. This research collects 2130 samples from 30 volunteers, and both the statistical least squares method and machine learning via linear regression are applied to analyze these data. It is observed that all models achieve a significant fit, but the third-degree polynomial model stands out in both approaches. It achieves an R2 value of 0.9769 in the statistical analysis and 0.9791 in machine learning.

A New Wrist-Worn Tool Supporting the Diagnosis of Parkinsonian Motor Syndromes.

To date, clinical expert opinion is the gold standard diagnostic technique for Parkinson's disease (PD), and continuous monitoring is a promising candidate marker. This study assesses the feasibility and performance of a new wearable tool for supporting the diagnosis of Parkinsonian motor syndromes. The proposed method is based on the use of a wrist-worn measuring system, the execution of a passive, continuous recording session, and a computation of two digital biomarkers (i.e., motor activity and rest tremor index). Based on the execution of some motor tests, a second step is provided for the confirmation of the results of passive recording. In this study, fifty-nine early PD patients and forty-one healthy controls were recruited. The results of this study show that: (a) motor activity was higher in controls than in PD with slight tremors at rest and did not significantly differ between controls and PD with mild-to-moderate tremor rest; (b) the tremor index was smaller in controls than in PD with mild-to-moderate tremor rest and did not significantly differ between controls and PD patients with slight tremor rest; (c) the combination of the said two motor parameters improved the performances in differentiating controls from PD. These preliminary findings demonstrate that the combination of said two digital biomarkers allowed us to differentiate controls from early PD.