What features and functions are desired in telemedical services targeted at polish older adults delivered by wearable medical devices? : pre-COVID-19 flashback

The emerging wearable medical devices open up new opportunities for the provision of health services and promise to accelerate the development of novel telemedical services. The main objective of this study was to investigate the desirable features and applications of telemedical services for the Polish older adults delivered by wearable medical devices. The questionnaire study was conducted among 146 adult volunteers in two cohorts (C.1: <65 years vs. C.2: ≥65 years). The analysis was based on qualitative research and descriptive statistics. Comparisons were performed by Pearson’s chi-squared test. The questionnaire, which was divided into three parts (1-socio-demographic data, needs, and behaviors; 2-health status; 3-telemedicine service awareness and device concept study), consisted of 37 open, semi-open, or closed questions. Two cohorts were analyzed (C.1: n = 77; mean age = 32 vs. C.2: n = 69; mean age = 74). The performed survey showed that the majority of respondents were unaware of the telemedical services (56.8%). A total of 62.3% of C.1 and 34.8% of C.2 declared their understanding of telemedical services. The 10.3% of correct explanations regarding telemedical service were found among all study participants. The most desirable feature was the detection of life-threatening and health-threatening situations (65.2% vs. 66.2%). The findings suggest a lack of awareness of telemedical services and the opportunities offered by wearable telemedical devices

Cardiovascular and pre-frailty risk assessment during shelter-in-place measures based on multimodal biomarkers collected from smart telemedical wearables

Wearable devices play a growing role in healthcare applications and disease prevention. We conducted a retrospective study to assess cardiovascular and pre-frailty risk during the Covid-19 shelter-in-place measures on human activity patterns based on multimodal biomarkers collected from smartwatch sensors. For methodology validation we enrolled five adult participants (age range: 32 to 84 years; mean 57 ± 22.38; BMI: 27.80 ± 2.95 kg/m2) categorized by age who were smartwatch users and self-isolating at home during the Covid-19 pandemic. Resting heart rate, daily steps, and minutes asleep were recorded using smartwatch sensors. Overall, we created a dataset of 464 days of continuous measurement that included 50 days of self-isolation at home during the Covid-19 pandemic. Student’s t-test was used to determine significant differences between the pre-Covid-19 and Covid-19 periods. Our findings suggest that there was a significant decrease in the number of daily steps (−57.21%; −4321; 95% CI, 3722 to 4920) and resting heart rate (−4.81%; −3.04; 95% CI, 2.59 to 3.51) during the period of self−isolation compared to the time before lockdown. We found that there was a significant decrease in the number of minutes asleep (−13.48%; −57.91; 95% CI, 16.33 to 99.49) among older adults. Finally, cardiovascular and pre-frailty risk scores were calculated based on biomarkers and evaluated from the clinical perspective

Nadzorowanie aktywności człowieka z użyciem sieci BSN rozprawa doktorska /

Tyt. z ekranu tytułowego.Praca doktorska. Akademia Górniczo-Hutnicza im. Stanisława Staszica (Kraków), 2013.Zawiera bibliogr.Dostępna także w wersji drukowanej.Tryb dostępu: Internet.Związek postawionego problemu z innymi pracami, wybrane zagadnienia związane z sieciami BSN, realizacja sieci BSN w monitorowaniu parametrów fizjologicznych, architektura sieci BSN, rozszerzenie zastosowań telemedycyny poprzez sieci BSN, fizjologiczne podstawy pomiaru temperatury, potliwości, sygnału elektrokardiograficznego, aktywności ruchowej, zakres możliwości wykorzystania systemu do rozpoznawania chorób, metodyka badawcza, zbudowany warsztat eksperymentalny, koncepcja realizacji systemu telediagnostycznego, model, nadzorowanie aktywności człowieka z użyciem sieci BSN, rejestracja obciążenia organizmu, sygnału przyspieszenia, aktywności ruchowej, sygnału elektrokardiograficznego, budowa prototypu urządzenia pomiarowego, oprogramowanie systemowe, moduł mikroprocesorowy, mobilnej jednostki obliczeniowej, serwera, prototyp nowatorskiej tele-usługi nadzoru pacjenta, przeprowadzenie badań, badania eksperymentalne, weryfikacja poprawności rejestrowanych sygnałów, badania podczas wykonywania codziennych czynności, sposób wyznaczania aktywności człowiek

Recognition of Sedentary Behavior by Machine Learning Analysis of Wearable Sensors during Activities of Daily Living for Telemedical Assessment of Cardiovascular Risk

With the recent advancement in wearable computing, sensor technologies, and data processing approaches, it is possible to develop smart clothing that integrates sensors into garments. The main objective of this study was to develop the method of automatic recognition of sedentary behavior related to cardiovascular risk based on quantitative measurement of physical activity. The solution is based on the designed prototype of the smart shirt equipped with a processor, wearable sensors, power supply and telemedical interface. The data derived from wearable sensors were used to create feature vector that consisted of the estimation of the user-specific relative intensity and the variance of filtered accelerometer data. The method was validated using an experimental protocol which was designed to be safe for the elderly and was based on clinically validated short physical performance battery (SPPB) test tasks. To obtain the recognition model six classifiers were examined and compared including Linear Discriminant Analysis, Support Vector Machines, K-Nearest Neighbors, Naive Bayes, Binary Decision Trees and Artificial Neural Networks. The classification models were able to identify the sedentary behavior with an accuracy of 95.00% ± 2.11%. Experimental results suggested that high accuracy can be obtained by estimating sedentary behavior pattern using the smart shirt and machine learning approach. The main advantage of the developed method to continuously monitor patient activities in a free-living environment and could potentially be used for early detection of increased cardiovascular risk

Nadzorowanie aktywności człowieka z użyciem sieci BSN

Tyt. z ekranu tytułowego.Promotor: Piotr Augustyniak.Niepublikowana praca doktorska.Praca doktorska. Akademia Górniczo-Hutnicza im. Stanisława Staszica (Kraków), 2013.Zawiera bibliogr.Dostępna także w wersji drukowanej.Tryb dostępu: Internet.Związek postawionego problemu z innymi pracami, wybrane zagadnienia związane z sieciami BSN, realizacja sieci BSN w monitorowaniu parametrów fizjologicznych, architektura sieci BSN, rozszerzenie zastosowań telemedycyny poprzez sieci BSN, fizjologiczne podstawy pomiaru temperatury, potliwości, sygnału elektrokardiograficznego, aktywności ruchowej, zakres możliwości wykorzystania systemu do rozpoznawania chorób, metodyka badawcza, zbudowany warsztat eksperymentalny, koncepcja realizacji systemu telediagnostycznego, model, nadzorowanie aktywności człowieka z użyciem sieci BSN, rejestracja obciążenia organizmu, sygnału przyspieszenia, aktywności ruchowej, sygnału elektrokardiograficznego, budowa prototypu urządzenia pomiarowego, oprogramowanie systemowe, moduł mikroprocesorowy, mobilnej jednostki obliczeniowej, serwera, prototyp nowatorskiej tele-usługi nadzoru pacjenta, przeprowadzenie badań, badania eksperymentalne, weryfikacja poprawności rejestrowanych sygnałów, badania podczas wykonywania codziennych czynności, sposób wyznaczania aktywności człowiek

Distant Measurement of Plethysmographic Signal in Various Lighting Conditions Using Configurable Frame-Rate Camera

Videoplethysmography is currently recognized as a promising noninvasive heart rate measurement method advantageous for ubiquitous monitoring of humans in natural living conditions. Although the method is considered for application in several areas including telemedicine, sports and assisted living, its dependence on lighting conditions and camera performance is still not investigated enough. In this paper we report on research of various image acquisition aspects including the lighting spectrum, frame rate and compression. In the experimental part, we recorded five video sequences in various lighting conditions (fluorescent artificial light, dim daylight, infrared light, incandescent light bulb) using a programmable frame rate camera and a pulse oximeter as the reference. For a video sequence-based heart rate measurement we implemented a pulse detection algorithm based on the power spectral density, estimated using Welch’s technique. The results showed that lighting conditions and selected video camera settings including compression and the sampling frequency influence the heart rate detection accuracy. The average heart rate error also varies from 0.35 beats per minute (bpm) for fluorescent light to 6.6 bpm for dim daylight

A Design Study of Orthotic Shoe Based on Pain Pressure Measurement Using Algometer for Calcaneal Spur Patients

The pressure pain threshold (PPT) is a useful tool for evaluating mechanical sensitivity in individuals suffering from various musculoskeletal disorders. The aim of this study is to investigate PPT at the heel area in order to assist in the design of orthotic shoes for sufferers of heel pain due to a calcaneal spur. The size and location of the calcaneal spur was determined by x-ray images, with PPT data measured around the spur at five points by using algometer FDIX 25. The pain test experiment was conducted by pressing each point to obtain the pain minimum compressive pressure (PMCP) and its location. The information of shoe size, spur location and dimensions, and the PMCP location for each individual is used to obtain the exact point location for applying a softer material to the shoe in-sole, in order to reduce heel pain. The results are significant as it can be used by designers to design appropriate shoe in-soles for individuals suffering from heel pain

DSP-Assisted Nonlinear Impairments Tolerant 100 Gbps Optical Backhaul Network for Long-Haul Transmission

High capacity long haul communication and cost-effective solutions for low loss transmission are the major advantages of optical fibers, which makes them a promising solution to be used for backhaul network transportation. A distortion-tolerant 100 Gbps framework that consists of long haul and high capacity transport based wavelength division multiplexed (WDM) system is investigated in this paper, with an analysis on different design parameters to mitigate the amplified spontaneous emission (ASE) noise and nonlinear effects due to the fiber transmission. The performance degradation in the presence of non-linear effects is evaluated and a digital signal processing (DSP) assisted receiver is proposed in order to achieve bit error rate (BER) of 1.56 × 10−6 and quality factor (Q-factor) of 5, using 25 and 50 GHz channel spacing with 90 μm2 effective area of the optical fiber. Analytical calculations of the proposed WDM system are presented and the simulation results verify the effectiveness of the proposed approach in order to mitigate non-linear effects for up to 300 km length of optical fiber transmission