The HealthTracker System: App and Cloud-Based Wearable Multi-Sensor Device for Patients Health Tracking

Telemedicine has emerged as a vital component of contemporary healthcare, revolutionizing the way medical services are delivered and accessed (e.g., it enables patients living in underserved or rural areas to receive medical consultation and treatment remotely). Moreover, telemedicine plays a pivotal role in improving healthcare efficiency by reducing wait times, minimizing unnecessary hospital visits, and optimizing resource allocation. In this paper, we present HealthTracker, a monitoring infrastructure for patients comprising two Internet of Things (IoT) devices (one of which was designed and created by us) and a mobile app that sends data collected by the IoT devices to a cloud service. All these components work together to provide an innovative system able to monitor patient health condition, provide alerts in emergency cases, and elaborate upon data to improve the quality of medical care. Preliminary tests show that the system works well, and real experimentation will start soon in collaboration with the local health authority

Gait Monitoring and Analysis: A Mathematical Approach

Gait abnormalities are common in the elderly and individuals diagnosed with Parkinson’s, often leading to reduced mobility and increased fall risk. Monitoring and assessing gait patterns in these populations play a crucial role in understanding disease progression, early detection of motor impairments, and developing personalized rehabilitation strategies. In particular, by identifying gait irregularities at an early stage, healthcare professionals can implement timely interventions and personalized therapeutic approaches, potentially delaying the onset of severe motor symptoms and improving overall patient outcomes. In this paper, we studied older adults affected by chronic diseases and/or Parkinson’s disease by monitoring their gait due to wearable devices that can accurately detect a person’s movements. In our study, about 50 people were involved in the trial (20 with Parkinson’s disease and 30 people with chronic diseases) who have worn our device for at least 6 months. During the experimentation, each device collected 25 samples from the accelerometer sensor for each second. By analyzing those data, we propose a metric for the “gait quality” based on the measure of entropy obtained by applying the Fourier transform

Simultaneous determination of tin and lead at the parts-per-billion level by coupling differential pulse anodic stripping voltammetry with a matrix exchange method

The complexing properties of a citrate medium are exploited to eliminate the Sn-Pb interference in anodic stripping voltammetric anal. In a citrate buffer at pH 3.9, Pb(II) can be detected at the ppb level even in the presence of 100-fold excess Sn; the min. observable concn. of Sn(IV) is .apprx.0.1 ppm. On the contrary, the simultaneous detection of both metals present together at ppb level is accomplished by coupling differential pulse anodic stripping voltammetry with a matrix exchange method

High-performance liquid chromatography with polarographic and voltammetric anodic detection: simultaneous determination of allopurinol, oxipurinol and uric acid in body fluids

Allopurinol [315-30-0], oxipurinol [2465-59-0], and uric acid [69-93-2] were detd. in human serum and urine by liq. chromatog. with electrochem. detection. In particular the use of a polarog. detector operating in the oxidative mode, whose principle of detection is based on the property of allopurinol, oxipurinol, and uric acid to form insol. anodic films on Hg, is described. The performance of such a detector is compared with that of a glassy carbon-wall jet detector. Different procedures for sample pretreatment were evaluated