{"title":"RECORD: A Simple, Low-Cost, and Open-Source IMU-Based Tool for the Diagnosis of Body Schema Distortions","authors":"Luc Marechal;Christian Elmo Kulanesan;Louise Dupraz;Morgane Metral;Jessica Bourgin;Blaise Girard","doi":"10.1109/JTEHM.2026.3655633","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3655633","url":null,"abstract":"Objective: In the psychology community, there is currently no standardized framework for assessing body schema distortions, either in research or clinical practice. To address this gap, we propose RECORD (RECOnfiguRing the Assessment of the boDy in motion), a cost-effective clinical tool designed to assess shoulder rotation as patient walks towards doorways. Methods and procedures: RECORD utilizes a single wireless pod, featuring an inertial measurement unit (IMU), placed on the acromion, which is adequate for measuring shoulder rotation. Our approach uses quaternion-based algorithm for robustness. We provide a comparison with gold-standard motion capture system, along with performance metrics and benchmark testing. Results: The system has demonstrated a constant accuracy of 1.39° within the task range, regardless of the distance or movement performed by the subject. Conclusion: The device is adapted for assessing shoulder rotation in clinical practice and in psychological research contexts. The source files of the RECORD device hardware, algorithms and software codes are available on the open-source GitHub RECORD repository to enable accessibility, as well as future contributions to benefit the community.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"45-54"},"PeriodicalIF":4.4,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11358976","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Gobbi;C. Gulotta;B. Suki;E. Mellano;M. Vitacca;F. Colombo;V. Brusasco;C. Veneroni;R. Dellacà
{"title":"Day-to-Day Variability of Respiratory Resistance in Asthma and COPD: Influence of Intra-Breath Data Sampling and Observation Period","authors":"A. Gobbi;C. Gulotta;B. Suki;E. Mellano;M. Vitacca;F. Colombo;V. Brusasco;C. Veneroni;R. Dellacà","doi":"10.1109/JTEHM.2026.3653176","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3653176","url":null,"abstract":"Objective: Assessment of lung function variability is recommended for the diagnosis of asthma, but its specificity in separating asthmatic from COPD subjects is low. This study aimed to test the hypothesis that the day-to-day variability of respiratory resistance depends on the respiratory phase considered and observation time. Methods: Respiratory resistance was measured daily by oscillometry at 5 Hz in 47 mild asthmatics, 20 moderate-to-severe COPD, and 35 healthy subjects. The coefficient of variation was calculated over multiple time scales using full breaths, inspiratory phase, or mid-inspiratory phase. Results: The coefficient of variation of mid-inspiratory resistance was significantly higher in asthmatic than healthy and COPD groups at time scales >7 days, but not different between healthy and COPD. The accuracy of the 14-days coefficient of variation of mid-inspiratory resistance in separating asthmatic from the other groups, calculated as the area under the receiver-operating characteristic curve, was 0.86, with 73% sensitivity and 83% specificity at the optimal cutoff of 10%. Moreover, the coefficient of variation was significantly higher in asthma than COPD despite an increased mean resistance in the latter. Conclusion: When expressed as the day-to-day coefficient of variation of mid-inspiratory oscillometric resistance, the variability of lung function does not appear related to the presence or degree of airflow obstruction. Two-week assessment of day-to-day variability of mid-inspiratory resistance provides accurate separation of asthmatic from both healthy and COPD subjects. These findings demonstrate that simple, self-administered daily oscillometry can provide useful clinical information, supporting more accurate asthma diagnosis in real-world settings. Clinical and Translational Impact—The coefficient of variation of mid-inspiratory resistance computed over 14-days separated asthmatic from healthy and COPD subjects with 73% sensitivity and 83% specificity. Daily self-administered oscillometry can support asthma diagnosis.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"29-35"},"PeriodicalIF":4.4,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11346541","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Osama Elgabori;William B. Scammon;Kelly R. Strong;Jingyi Wu;Keith E. Cook;Jana M. Kainerstorfer
{"title":"Development of an Optical Sensor for Real-Time Monitoring of Hemodynamic Parameters in Extracorporeal Settings","authors":"Osama Elgabori;William B. Scammon;Kelly R. Strong;Jingyi Wu;Keith E. Cook;Jana M. Kainerstorfer","doi":"10.1109/JTEHM.2026.3653633","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3653633","url":null,"abstract":"Objective: Whole blood oxygen saturation and hemoglobin concentration are key markers of health across a variety of clinical contexts. Extracorporeal systems (dialysis, cardiopulmonary bypass, ECMO, etc.) require close monitoring of these parameters for proper patient treatment and intervention. Currently, blood gas analyzers are the gold standard for such measurements, however, these devices are invasive and fail to provide real-time results. In contrast, optical sensors can non-invasively probe whole blood for real-time monitoring of oxygen saturation and hemoglobin concentration. While commercial devices that implement such sensors exist, they not only fail to reduce the overall footprint of extracorporeal systems but instead increase it. Technology or Method: In this work, we develop small form factor optical sensors to be compatible with extracorporeal systems and obtain accurate real-time results using an empirical calibration method. We evaluate the performance of a pair of these optical sensors using this calibration through in-vitro experiments with whole blood. Results: Results showed an average accuracy root-mean square error of 1.30 g/dL for hemoglobin concentration and 4.76 % for saturation. Conclusions: These results demonstrate the potential viability of these sensors for use in assessing extracorporeal device performance and patient health.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"36-44"},"PeriodicalIF":4.4,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11346963","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrative Machine Learning of Genetic and Lifestyle Factors for Personalized Skin Health","authors":"Yassine Benachour;Lina Maloukh;Barbara Geusens","doi":"10.1109/JTEHM.2026.3675676","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3675676","url":null,"abstract":"Objective: To develop an AI framework that combines genetic, phenotypic, and lifestyle data for profiling skin-health patterns and generating hypothesis-supporting summaries for potential decision support.Methods and procedures: A dataset of 5,254 individuals integrates six genes (FLG, AQP3, MMP-1, MMP-3, SOD2, GPX), six phenotype severities, and 20+ lifestyle factors. Mutation burden and interactions are tested by ANOVA. K-modes clustering identifies four interpretable dermatological profiles within the cohort and is embedded in leakage-free nested cross-validation (train-only selection; test labels from training centroids). Subtypes are predicted from genetics plus lifestyle using an XGBoost (XGB) classifier; explainability uses gain, permutation importance, and SHAP contributions aggregated across outer folds.Results: Four subtypes are identified. Mutation burden differed across phenotypes (ANOVA, <inline-formula> <tex-math>$plt 0.05$ </tex-math></inline-formula>). Interactions are observed for AQP3<inline-formula> <tex-math>$times $ </tex-math></inline-formula>Winter<inline-formula> <tex-math>$rightarrow $ </tex-math></inline-formula>Dryness, GPX<inline-formula> <tex-math>$times $ </tex-math></inline-formula>Medication<inline-formula> <tex-math>$rightarrow $ </tex-math></inline-formula>Pigmentation, and MMP-3<inline-formula> <tex-math>$times $ </tex-math></inline-formula>City Living<inline-formula> <tex-math>$rightarrow $ </tex-math></inline-formula>Redness. Nested-CV prediction achieves <inline-formula> <tex-math>$0.9789pm 0.0083$ </tex-math></inline-formula> accuracy with macro-F<inline-formula> <tex-math>$1~0.9711pm 0.0126$ </tex-math></inline-formula> and macro-recall <inline-formula> <tex-math>$0.9697pm 0.0091$ </tex-math></inline-formula>. This outperformed unimodal baselines and improved generalization across all folds in practice. Drivers are stable across folds and included scrub usage, stress, sleep, low water intake, menopause, and camouflage habits, alongside oxidative-stress and MMP genes.Conclusion: Integrating genomic susceptibility with modifiable exposures enables robust, interpretable skin-profile prediction and highlights actionable targets for stratified counseling beyond genetic predisposition.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"164-178"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11447225","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marta Mencarelli;Luca Puggelli;Roberto Baggi;Stefano Avenali;Francesca Amoretti;Monica Carfagni;Yary Volpe;Paola Serio
{"title":"Innovative Pediatric Simulator for Difficult Airway Management Training","authors":"Marta Mencarelli;Luca Puggelli;Roberto Baggi;Stefano Avenali;Francesca Amoretti;Monica Carfagni;Yary Volpe;Paola Serio","doi":"10.1109/JTEHM.2026.3677892","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3677892","url":null,"abstract":"Objective: Pediatric airway management presents unique challenges, particularly in patients with congenital conditions that increase the risk of difficult intubation. Simulation offers a safe environment for clinicians to practice, yet current pediatric mannequins often lack pathological realism. This study aims to develop and validate a high-fidelity, patient-specific pediatric airway mannequin simulating difficult intubation associated with Crouzon syndrome. Technology or Method: A modular training mannequin was developed through CT-based modeling and additive manufacturing at the T3Ddy Laboratory, a collaboration between AOU Meyer Children’s Hospital–IRCCS and the University of Florence. Anatomical structures were segmented from CT and MRI scans of a 19-month-old patient with Crouzon syndrome. These 3-D models guided the design of a realistic airway, including nasal and oral access, a flexible tongue, and a movable jaw. Rigid parts were 3-D-printed; soft tissues were cast in silicones of varying hardness. Design choices were validated through iterative testing and refinement. Results: The simulator was evaluated during a pediatric bronchoscopy training course. Physicians assessed realism, tactile feedback, and usability via a Likert-scale questionnaire. Results indicated strong agreement on the mannequin’s effectiveness in replicating challenging intubation scenarios, particularly those requiring fiberoptic-guided techniques. Conclusion: This modular, patient-specific pediatric airway simulator provides a realistic, high-fidelity platform for training clinicians in difficult intubation techniques. Its anatomically accurate design enhances procedural confidence and skill acquisition, particularly for managing complex cases like those associated with Crouzon syndrome.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"179-187"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11456528","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147606193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Gait Event Detection From Thigh Segment Kinematics in Children With Crouch Gait","authors":"Jordan Dembsky;Noah Rubin;Thomas C. Bulea","doi":"10.1109/JTEHM.2026.3679585","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3679585","url":null,"abstract":"Objective: Wearable exoskeletons can improve walking in children with movement disorders by delivering precisely timed and scaled torques based on discrete gait phase. Most single-joint systems segment the gait cycle using underfoot force-sensitive resistors (FSRs), but FSRs are suboptimal for exoskeleton use in pathological gait due to fragile hardware and inconsistent foot loading/unloading. Thigh kinematics may provide more robust gait event detection (GED), yet this approach has not been evaluated in children with crouch gait, a key target population for pediatric exoskeleton therapy. This study aimed to: 1) assess feasibility of GED using thigh kinematics from ground-truth motion capture, 2) evaluate GED using a thigh-mounted inertial measurement unit (IMU), and 3) validate this method with a wearable knee exoskeleton in children with crouch gait.Methods and procedures: A novel thigh segment kinematics algorithm (TSKA) was developed to detect initial contact (IC) and terminal contact (TC) during overground walking. Algorithm performance was assessed using IMU-derived gait events compared to motion capture ground truth, then evaluated with a wearable knee exoskeleton.Results: Mean IMU-based timing errors for IC and TC were 38 and 84 ms, respectively. IC predictions occurred earlier than ground truth, whereas TC predictions varied. During exoskeleton walking, IMU-based GED significantly improved timing accuracy compared to FSR-based detection.Conclusion: The thigh-based kinematic algorithm, tuned for each individual with six or fewer strides, accurately detected gait events in children with crouch gait and outperformed FSR-based GED in an exoskeleton. These findings support further development for real-time exoskeleton control and gait assessment in individuals with pathological gait.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"188-197"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11458653","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Explainable Knowledge-Guided Algorithm for Contrast Extravasation Detection on Computed Tomography","authors":"Tuan D. Pham;Maki Kitamura;Taichiro Tsunoyama","doi":"10.1109/JTEHM.2026.3681662","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3681662","url":null,"abstract":"Objective: To develop an explainable, knowledge-guided framework for automated detection of contrast media extravasation from sequential computed tomography (CT) images and to evaluate its potential to accelerate time-critical trauma triage while maintaining clinically acceptable sensitivity.Methods: A mathematical framework was formulated to explicitly encode three expert-derived diagnostic rules: 1) progressive increase of contrast outside anatomically plausible vessels, 2) appearance of contrast in non-vascular regions, and 3) localized irregularity of vessel caliber. Sequential two-dimensional CT slices were analyzed using a 2.5D formulation integrating temporal intensity evolution, anatomical plausibility, vessel morphology, and inter-slice continuity. The model outputs a confidence score and a binary alert. Model parameters and decision thresholds were initialized using a single representative clinical case guided by expert interpretation. Performance was evaluated against senior emergency surgeon assessment, emphasizing sensitivity and time-to-decision.Results: The proposed framework achieved clinically acceptable sensitivity for detection of contrast extravasation while substantially reducing time-to-decision relative to manual review. Early-trigger analysis demonstrated that positive cases were identified within the initial portion of the CT volume, supporting rapid screening and prioritization in emergency workflows.Conclusion: This study demonstrates the feasibility of translating expert clinical reasoning into an interpretable computational model for time-critical imaging tasks. The knowledge-guided design enables rapid automated screening while preserving transparency and clinician oversight. The framework shows promise as a decision-support tool for accelerating trauma triage, with future work focused on prospective validation and broader multi-center evaluation. Clinical Impact: The proposed knowledge-guided algorithm enables rapid extravasation alerts on trauma CT, supporting earlier triage and prioritization for angiography or surgery within existing emergency imaging workflows.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"198-209"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11475740","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147665480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of a Realistic Physical Phantom for Laparoscopic and Robotic-Assisted Sacrocolpopexy Training and Associated","authors":"Marina Carbone;Rosanna M. Viglialoro;Sara Condino;Nadia Cattari;Giulia Pagnanelli;Matteo Bianchi;Paolo Mannella;Vincenzo Ferrari;Andrea Giannini;Tommaso Simoncini","doi":"10.1109/JTEHM.2026.3684747","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3684747","url":null,"abstract":"Objective: Robotic-assisted sacrocolpopexy is the gold standard for treating advanced pelvic organ prolapse, but its most critical step, presacral dissection, carries a significant risk of vascular and ureteral injury. Traditional training relies heavily on intraoperative exposure, yet no simulator currently provides an anatomically realistic, reusable, and cost-effective platform for practicing this high-risk procedure. Method: To address this gap, we developed a modular phantom designed for training in laparoscopic and robotic sacrocolpopexy procedures. A hierarchical task analysis was conducted to identify the critical steps involved in presacral dissection, informing the design of the simulator. The phantom incorporates a reusable pelvic base and a stratified sacral area pad that reproduces the vertebrae, anterior longitudinal ligament, vascular structures, ureters, visceral fat, and peritoneum. Fabrication employed 3D printing, silicone molding, and layered composite materials to strike a balance between anatomical fidelity and durability. Results: Five expert gynecologic surgeons validated the simulator using structured questionnaires, hierarchical task analysis-based task assessment. The model demonstrated excellent content validity (S-CVI = 0.877), strong inter-rater agreement, and high internal consistency (Cronbach’s alpha = 0.925). Ten of thirteen critical surgical tasks were completed by all participants, including realistic dissection and ligament exposure. Face validity ratings confirmed the realism of anatomy and haptic feedback, though ureteral identification was less consistent. Conclusion: The developed phantom enables realistic, structured training in presacral dissection and mesh fixation, supporting skill acquisition outside the operating room. Clinical Impact—By providing a cost-effective, reusable, and anatomically faithful simulator, this work contributes to safer training in gynecology and pelvic floor surgery, with potential integration into competency-based curricula and dry-lab facilities.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"225-233"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11482612","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147796204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ray Chang;Yu-Chen Chen;Hao-Wei Chen;Ruei-Hong Zeng;Manu Prakash
{"title":"EasyVoid: A Handheld Coandă Effect Uroflowmeter for Accurate and Portable Measurement of Urinary Flow Dynamics","authors":"Ray Chang;Yu-Chen Chen;Hao-Wei Chen;Ruei-Hong Zeng;Manu Prakash","doi":"10.1109/JTEHM.2026.3679932","DOIUrl":"https://doi.org/10.1109/JTEHM.2026.3679932","url":null,"abstract":"Objective: Diagnosis of lower urinary tract symptoms (LUTS) often relies on subjective questionnaires, conventional uroflowmetry or invasive urodynamic study, each with inherent limitations.Methods and procedures: This work presents EasyVoid, a novel handheld device that employs the Coandă effect to enable non-invasive and quantitative measurement of urinary flow. EasyVoid uses a passive fluidic mechanism in which the urinary stream adheres to a curved surface and transfers angular momentum to a helical rotor, allowing direct estimation of flow rate and volume without pressure sensors or weighing systems.Results: EasyVoid simultaneously records key voiding parameters, including flow rate, flow pattern, voiding time, and voided volume, with high temporal precision. In controlled bench-top trials using simulated urine events, measurements obtained from EasyVoid showed strong agreement with standard uroflowmetry across multiple flow patterns.Conclusion: These results demonstrate the potential of EasyVoid for portable and quantitative assessment of urinary flow dynamics, offering a promising solution for remote urinary health monitoring.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"210-224"},"PeriodicalIF":4.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11471813","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147696188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haakon Reithe;Monica Patrascu;Juan C. Torrado;Elise Førsund;Bettina S. Husebo;Simon U. Kverneng;Erika Sheard;Charalampos Tzoulis;Brice Marty
{"title":"Wavelet-Based Tremor Quantification From Wrist-Worn Sensor Data in Home-Dwelling People With Parkinson’s Disease","authors":"Haakon Reithe;Monica Patrascu;Juan C. Torrado;Elise Førsund;Bettina S. Husebo;Simon U. Kverneng;Erika Sheard;Charalampos Tzoulis;Brice Marty","doi":"10.1109/JTEHM.2025.3648704","DOIUrl":"https://doi.org/10.1109/JTEHM.2025.3648704","url":null,"abstract":"Objective: Tremor symptoms in Parkinson’s disease (PD) are challenging to assess due to low resolution and subjectivity from standard clinical scales. To address this, wearable devices have been used, but algorithms have been relying on controlled or limited activity conditions. Our objective is to create a context-independent metric quantifying tremor in free-living conditions to bridge the gap between biomedical engineering and the PD field. Methods and Procedures: We designed an algorithm which computes a tremor index (TI) from accelerometer data, collected via the Empatica E4 worn on the wrist by home dwelling people with PD. For validation, we use a within-participant design, comparing the TIs of the most and least tremor-affected hand. We included seven participants with unilateral tremor, monitored for two weeks each. The algorithm is able to compute TIs for a set of frequencies identified in literature as associated with different tremor types (3–12 Hz), over adjustable sampling time windows. Results: We show that the most tremor-affected hand yields a higher TI than the other hand for frequency sets that are individual to each person, in particular around 5-6 Hz where rest tremor typically occurs. We find that we can disambiguate tremor across 3-12 Hz from general movement and resting states. The number of frequencies with inter-hand separation correlate with the MDS-UPDRS part III tremor items. Conclusion: The designed tremor quantification algorithm can quantify tremor symptoms over time for people with PD and can be used to identify the individualized frequency ranges where these movements happen, in free-living conditions.","PeriodicalId":54255,"journal":{"name":"IEEE Journal of Translational Engineering in Health and Medicine-Jtehm","volume":"14 ","pages":"19-28"},"PeriodicalIF":4.4,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11316150","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}