Movement Disorders and Smart Wrist Devices: A Comprehensive Study

Sensors, Год журнала: 2025, Номер 25(1), С. 266 - 266

Опубликована: Янв. 5, 2025

In the medical field, there are several very different movement disorders, such as tremors, Parkinson’s disease, or Huntington’s disease. A wide range of motor and non-motor symptoms characterizes them. It is evident that in modern era, use smart wrist devices, smartwatches, wristbands, bracelets spreading among all categories people. This diffusion justified by limited costs, ease use, less invasiveness (and consequently greater acceptability) than other types sensors used for health status monitoring. systematic review aims to synthesize research studies using devices a specific class disorders. Following PRISMA-S guidelines, 130 were selected analyzed. For each study, information provided relating smartwatch/wristband/bracelet model (whether it commercial not), number end-users involved experimentation stage, finally characteristics benchmark dataset possibly testing. Moreover, some articles also reported type raw data extracted from device, implemented designed algorithmic pipeline, classification methodology. turned out most have been published last ten years, showing growing interest scientific community. The mainly investigate relationship between Epilepsy seizure detection topics interest, while few papers analyzing gait Disease, ataxia, Tourette Syndrome. However, results this highlight difficulties still present identified despite advantages these technologies could bring dissemination low-cost solutions usable directly within living environments without need caregivers personnel.

Язык: Английский

---

The Future of Stress Management: Integration of Smartwatches and HRV Technology

Sensors, Год журнала: 2023, Номер 23(17), С. 7314 - 7314

Опубликована: Авг. 22, 2023

In the modern world, stress has become a pervasive concern that affects individuals’ physical and mental well-being. To address this issue, many wearable devices have emerged as potential tools for detection management by measuring heart rate, rate variability (HRV), various metrics related to it. This literature review aims provide comprehensive analysis of existing research on HRV tracking biofeedback using smartwatches pairing with reliable 3rd party mobile apps like Elite HRV, Welltory, HRV4Training specifically designed management. We apply algorithms methodologies employed including time-domain, frequency-domain, non-linear techniques. Prominent smartwatches, such Apple Watch, Garmin, Fitbit, Polar, Samsung Galaxy are evaluated based their measurement accuracy, data quality, sensor technology, integration features. describe efficacy in providing real-time feedback, personalized interventions, promoting overall assist researchers, doctors, developers smartwatch technology promote holistic well-being, we discuss data’s advantages limitations, future developments, significance user-centered design interventions.

Язык: Английский

---

Reviewing Multimodal Machine Learning and Its Use in Cardiovascular Diseases Detection

Electronics, Год журнала: 2023, Номер 12(7), С. 1558 - 1558

Опубликована: Март 26, 2023

Machine Learning (ML) and Deep (DL) are derivatives of Artificial Intelligence (AI) that have already demonstrated their effectiveness in a variety domains, including healthcare, where they now routinely integrated into patients’ daily activities. On the other hand, data heterogeneity has long been key obstacle AI, ML DL. Here, Multimodal (Multimodal ML) emerged as method enables training complex DL models use heterogeneous learning process. In addition, integration multiple search for single, comprehensive solution to problem. this review, technical aspects discussed, definition technology its underpinnings, especially fusion. It also outlines differences between others, such Ensemble Learning, well various workflows can be followed ML. article examines depth detection prediction Cardiovascular Diseases, highlighting results obtained so far possible starting points improving aforementioned field. Finally, number most common problems hindering development potential solutions could pursued future studies outlined.

Язык: Английский

---

A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases

Healthcare, Год журнала: 2023, Номер 11(16), С. 2240 - 2240

Опубликована: Авг. 9, 2023

According to the Pan American Health Organization, cardiovascular disease is leading cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper presents a systematic review highlight use IoT, IoMT, and machine learning detect, predict, or monitor disease. We had final sample 164 high-impact journal papers, focusing on two categories: detection using IoT/IoMT technologies techniques. For first category, we found 82 proposals, while for second, 85 proposals. The research highlights list technologies, techniques, datasets, most discussed diseases. Neural networks have been popularly used, achieving accuracy over 90%, followed by random forest, XGBoost, k-NN, SVM. Based results, conclude that can predict diseases in real time, ensemble techniques obtained one best performances metric, hypertension arrhythmia were Finally, identified lack public data as main obstacles approaches prediction.

Язык: Английский

---

Smart Detecting and Versatile Wearable Electrical Sensing Mediums for Healthcare

Sensors, Год журнала: 2023, Номер 23(14), С. 6586 - 6586

Опубликована: Июль 21, 2023

A rapidly expanding global population and a sizeable portion of it that is aging are the main causes significant increase in healthcare costs. Healthcare terms monitoring systems undergoing radical changes, making possible to gauge or monitor health conditions people constantly, while also removing some minor possibilities going hospital. The development automated devices either attached organs skin, continually human activity, has been made feasible by advancements sensor technologies, embedded systems, wireless communication nanotechnologies, miniaturization being ultra-thin, lightweight, highly flexible, stretchable. Wearable sensors track physiological signs together with other symptoms such as respiration, pulse, gait pattern, etc., spot unusual unexpected events. Help may therefore be provided when required. In this study, wearable sensor-based activity-monitoring for reviewed, along problems need overcome. review, we have shown smart detecting versatile electrical sensing mediums healthcare. We compiled piezoelectric-, electrostatic-, thermoelectric-based their working mechanisms, principles, keeping view different medical discussion on application these biosensors health. comparison between three types energy-harvesting sensors: output performance. Finally, provide future outlook current challenges opportunities.

Язык: Английский

---

Advancing personalized healthcare and entertainment: Progress in energy harvesting materials and techniques of self-powered wearable devices

Progress in Materials Science, Год журнала: 2023, Номер 139, С. 101184 - 101184

Опубликована: Авг. 26, 2023

Язык: Английский

---

Smart wearables addressing gait disorders: A review

Materials Today Communications, Год журнала: 2023, Номер 35, С. 106250 - 106250

Опубликована: Май 20, 2023

Язык: Английский

---

A Critical Review on Factors Affecting the User Adoption of Wearable and Soft Robotics

Sensors, Год журнала: 2023, Номер 23(6), С. 3263 - 3263

Опубликована: Март 20, 2023

In recent years, the advent of soft robotics has changed landscape wearable technologies. Soft robots are highly compliant and malleable, thus ensuring safe human-machine interactions. To date, a wide variety actuation mechanisms have been studied adopted into multitude wearables for use in clinical practice, such as assistive devices rehabilitation modalities. Much research effort put improving their technical performance establishing ideal indications which rigid exoskeletons would play limited role. However, despite having achieved many feats over past decade, technologies not extensively investigated from perspective user adoption. Most scholarly reviews focused on service providers developers, manufacturers, or clinicians, but few scrutinized factors affecting adoption experience. Hence, this pose good opportunity to gain insight current practice user’s perspective. This review aims provide broad overview different types identify that hinder robotics. paper, systematic literature search using terms “soft”, “robot”, “wearable”, “exoskeleton” was conducted according PRISMA guidelines include peer-reviewed publications between 2012 2022. The were classified motor-driven tendon cables, pneumatics, hydraulics, shape memory alloys, polyvinyl chloride muscles, pros cons discussed. identified design, availability materials, durability, modeling control, artificial intelligence augmentation, standardized evaluation criteria, public perception related perceived utility, ease use, aesthetics. critical areas improvement future directions increase also highlighted.

Язык: Английский

---

Binned Data Provide Better Imputation of Missing Time Series Data from Wearables

Sensors, Год журнала: 2023, Номер 23(3), С. 1454 - 1454

Опубликована: Янв. 28, 2023

The presence of missing values in a time-series dataset is very common and well-known problem. Various statistical machine learning methods have been developed to overcome this problem, with the aim filling data. However, performances these vary widely, showing high dependence on type data correlations within In our study, we performed some imputation methods, such as expectation maximization, k-nearest neighbor, iterative imputer, random forest, simple impute obtained from smart, wearable health trackers. manuscript, proposed use binning for imputation. We showed that binned around time interval provides better than whole dataset. Imputation was 15 min 1 h continuous used different bin sizes, min, 30 45 h, carried out evaluations using root mean square error (RMSE) values. observed maximization algorithm worked best This followed by whereas forest method had no effect during Moreover, smallest sizes were provide lowest RMSE majority frames data, respectively. Although applicable digital think will also find applicability other domains.

Язык: Английский

---

Usability Evaluation of Wearables and their Companion mHealth Applications – Attributes, Methods, and Frameworks: A Scoping Review (Preprint)

JMIR mhealth and uhealth, Год журнала: 2024, Номер 12, С. e52179 - e52179

Опубликована: Фев. 1, 2024

Wearable devices, mobile technologies, and their combination have been accepted into clinical use to better assess the physical fitness quality of life patients as preventive measures. Usability is pivotal for overcoming constraints gaining users' acceptance technology such wearables companion health (mHealth) apps. However, owing limitations in design evaluation, interactive mHealth apps often restricted from full potential.

Язык: Английский

---