Parkinson's disease: reducing falls with the latest technology

Dealing with a degenerative disease such as Parkinson's means looking with increasing interest to the latest technologies and scientific research.

Each new discovery, from fall prevention systems to advanced therapeutic devices, is a step forward in improving the quality of life for patients and caregivers.

Among the most promising solutions in recent years are artificial intelligence, predictive algorithms, and innovative therapies such as peripheral mechanical stimulation, which make it possible to address the motor difficulties of those with Parkinson's and Parkinsonisms in a targeted and personalized way.

Artificial intelligence to support research

The National Research Council - Institute of Cognitive Science and Technology (CNR-Istc) used an artificial intelligence (AI) algorithm, developed by the’Advanced School in Artificial Intelligence', to analyze differences in the incidence and early diagnosis of neurodegenerative diseases, such as Parkinson's and Alzheimer's, by gender.

AI processed a large neuropsychological, genetic and neurophysiological dataset, examining a sample consisting of both healthy individuals and patients with these conditions. The results showed that, in male subjects, the most common initial symptoms included muscle stiffness and autonomic nervous system dysfunction, while in women a higher incidence of urinary dysfunction was found. In addition, on the level of genetic predisposition, it was found that the percentage of men with a family history of neurodegenerative disease was higher than women.

Thanks to these algorithms of machine learning, it is not only possible to more accurately predict the onset of the disease, but also to monitor its progression and optimize therapeutic treatments according to the specific characteristics of each patient.

Predictive algorithms to prevent falls

Artificial intelligence is helping take a further step forward in preventing falls and managing the progression of Parkinson's disease by providing increasingly accurate tools for monitoring and early intervention.

For patients and their families, the risk of falls is a major daily concern, with a significant impact on quality of life and personal autonomy. This risk increases progressively as the disease progresses, making the adoption of predictive and preventive strategies essential.

A research conducted in Italy by the Bruno Kessler Foundation, by the IRCCS Ospedale Policlinico San Martino and the University of Genoa developed an innovative approach based on artificial intelligence. The study began with the digitization and systematization of clinical data from Parkinson's patients followed in the centers involved.

The use of wearable devices equipped with motion sensors has made it possible to collect an enormous amount of posture and gait data, enabling the identification of motor patterns associated with increased risk of falling. This information was processed to develop a predictive algorithm, capable of anticipating both falls and motor fluctuations (so-called “on-off” moments) typical of Parkinson's and some Parkinsonisms.

According to the most recent research, more than 60% of patients with Parkinson's or Parkinsonisms have experienced at least one fall. This phenomenon not only results in serious physical consequences, but also has a significant psychological impact: the fear of falling or freezing due to freezing of walking leads many patients to restrict their movements, reducing their independence and quality of life.

The latest research on AMPS therapy

While predictive algorithms and wearable devices help prevent falls by monitoring motor parameters in real time, therapeutic solutions such as peripheral mechanical stimulation,aim to directly improve gait quality and balance.

A study conducted by the University of Modena, Bologna and Reggio Emilia, in collaboration with the Institute of Neurological Sciences in Bologna, has shown that the AMPS therapy (Automated Mechanical Peripheral Stimulation) significantly improves key walking parameters in patients with Parkinson's disease, including stride length, walking speed, and movement symmetry.

This noninvasive therapy is an effective option for improving balance and reducing the risk of falls, providing complementary support for disease management without the need for additional medications or surgery.

AMPS Gondola: science at the service of Parkinson's patients

Parkinson's disease impairs plantar sensory feedback, negatively affecting gait and balance. Impaired tactile and vibratory sensitivity of the sole of the foot reduces proprioceptive perception, leading to decreased stride length and walking speed.

La AMPS Gondola Therapy applies controlled pressure stimuli to specific plantar areas, improving proprioceptive feedback and optimizing key motor parameters for mobility.

These latest scientific studies conducted in 2024 suggest that this therapy may promote neuroplastic changes in motor brain regions, improving motor responsiveness. And also the testimonials direct of patients who have had the opportunity to try the therapy at home confirm its potential as an innovative therapeutic tool to increase independence and safety in walking.

Staying current to discover new opportunities

New technologies are revolutionizing the treatment of Parkinson's disease. From artificial intelligence to wearable devices to peripheral mechanical stimulation, each innovation offers concrete benefits for patients and their caregivers, improving symptom management and daily autonomy.

However, navigating the different solutions available and understanding which ones are truly effective can be complex. For this reason, it is essential to stay current by consulting authoritative and reliable sources that can provide information based on scientific research and support informed treatment choices.

Each new discovery can pave the way for solutions that can tangibly improve patients' quality of life by providing them with greater safety and independence.

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