Wireless, Wearable | Quality of Life Technologies
There is a major concern growing in the medical community that the ratio of health workers to population size is decreasing. This means that the number of available doctors and medical professionals is starting to become too small to handle the number of people needing medical help. Technologies are therefore being created to help bridge the gap that is being created. These “Quality of Life Technologies” (QoLTs) have been developed to help monitor the health of people. While these technologies have been able to provide physiological support to individuals, the same could not be said for mental symptoms. If QoLTs could move into the realm of psychology and self-therapy, they could help improve the mood and quality of life for patients. A group of researchers from the Polytechnic University of Bucharest and the University of Lincoln recently published a paper that presents a machine learning approach for stress detection using wearable physiological amplifiers. To induce stress in participants, the researchers had them perform both a public speaking and cognitive task, which according to previous research these tasks caused the highest increase in measurable signals.
For their experimental setup, they used a BIOPAC BioNomadix BN-PPGED wireless transducer, hooked up to an MP150 data acquisition system, to record both EDA and PPG signals. They then used AcqKnowledge 4 software to extract both the PPG autocorrelation signal and Heart Rate Variability (HRV). Their results provided accurate stress detection in individuals. Their analysis marks a good starting point toward real-time mood detection, which could lead to people improving their quality of life. One way they could improve their experimental setup however, would be to use the BioNomadix Logger. This device allows for up to 24 hours of high quality data logging allowing the researchers to analyze a subject’s data from when they encountered stressful situations outside the lab.
For their experimental setup, they used a BIOPAC BioNomadix BN-PPGED wireless transducer, hooked up to an MP150 data acquisition system, to record both EDA and PPG signals. They then used AcqKnowledge 4 software to extract both the PPG autocorrelation signal and Heart Rate Variability (HRV). Their results provided accurate stress detection in individuals. Their analysis marks a good starting point toward real-time mood detection, which could lead to people improving their quality of life. One way they could improve their experimental setup however, would be to use the BioNomadix Logger. This device allows for up to 24 hours of high quality data logging allowing the researchers to analyze a subject’s data from when they encountered stressful situations outside the lab.
Data Logging | Understanding Social Fear Learning
Social
fear learning seems like a fairly straightforward subject. A person observes
another reacting or expressing through either verbal or nonverbal cues that a
stimulus makes them fearful or afraid. Surprisingly though, little is known
about how individuals modulate their perception of the threat. Researchers
hypothesized that understanding and shared emotional experiences with others
(empathy) play key roles in this, but there are a few investigations that
support it. Thus Andreas Olsson, Kibby McMahon, Goran Papenberg, Jamil Zak,
Niall Bolger, & Kevin N. Ochsner sought to study the role that empathy
plays in social fear learning. The experiment was set up across two stages;
one that tested manipulating empathy appraisals and the other individual
variability of trait empathy. Researchers enlisted a final sample of 47 men
and 53 women who attended Columbia University. The first stage had
participants receiving standard instructions that enhanced or decreased
empathy and underwent a fear learning procedure; the second had individuals
undergoing two observational learning procedures seeing whether the
participants expected to undergo the same learning as a demonstrator. During
the test stage, conditioned fear response was assessed through skin
conductance response (SCR) which was recorded from a BIOPAC MP150 system with
an EDA100C amplifier that monitors SCL and SCR data—BioNomadix wireless EDA or
Data Logger with EDA transmitter are viable
setup alternatives. SCR waveforms were analyzed with
AcqKnowledge software for off-line
analysis. The study found that subjects enhancing their empathy had the
strongest vicarious fear learning over the other groups. The results showed
that—especially in the strongly empathetic groups—a demonstrator’s expression
during the experiment tasks could serve as social unconditioned stimuli for
individuals to vicariously learn fear. Social fear learning thus depends on
both a person’s empathetic appraisal and their stable traits. Thus an
individual’s ability to learn fear from a social situation comes from not only
their inherent emotional state but also from their appraisal of how others
around them are reacting to the social
stimuli.
ECG Analysis | Physiological Benefits of Low-Altitude Tourism
There
is a reason people call it “the Great Outdoors.” People often escape to nature
to relax and recharge from the stressors of suburban life. Wilderness tourism
has been and will probably continue to be very popular. Permit requests to
hike the Pacific Crest Trail increased so dramatically following Cheryl
Strayed’s book about hiking the trail and the film adaptation starring Reese
Witherspoon that the spike is known as “The ‘Wild’ effect.” While there are many enthusiasts
that spring for the harder challenge of higher altitude treks, many tourists
head for the lower altitude camp grounds and hiking trails. This allows
vacationers to experience the full benefits of wilderness tourism without the
knowledge required to battle various ailments of high altitude expeditions.
There is a certain comfort and relaxation that comes with a low altitude
nature getaway. People often credit this to the state of mind that comes with
being disconnected from modern life. A recent study sought to examine what physiological effects actually make people feel comfortable and relaxed at these low altitude camping areas. The authors Chen-Hsu Wang, Audrey Ming-Li Fan, Chen Lin and Cheng-Deng Kuo found that the real-effects of low-altitude tourism were not well documented. They decided to test three different low-altitude locations (30, 520 and 1080 MASL) and examined 49 healthy adults. Electrocardiographic signals were recorded using a BIOPAC MP System and analyzed using AcqKnowledge software. The study found that low-altitude wilderness tourism can lead to an increase in both Heart Rate (HR) and Blood Pressure (BP), and an increase in overall Heart Rate Variability (HRV). The paper notes that the greatest decrease in HR and BP and increase in HRV came around the 520 MASL mark. This shows that travel in low-altitude mountain areas may be good for physiological fitness in healthy adults for automatic nervous modulation and blood pressure regulation, especially in older individuals.
This experiment should prove to make that next vacation nature-oriented, whether it is to Yosemite, Big Sur or anywhere in between. This study shows that wilderness trips are not only good for the soul, but has positive physiological effects for your body as well.
Data Logging | Lumbar Multifidus (LM) Muscle
The lumbar multifidus (LM) muscle
is an important muscle that works to stabilize certain spinal segments as well
as control the extension moment of the lumbar spine. Studies have shown that
this muscle can be atrophied in people with chronic lower back pain. Physical
therapists thus frequently use lumbar extensor strengthening or stabilization
exercises for treatment of lower back pain. Researchers are still uncertain
about the influence of surface electromyographic (EMG) activity on lower back pain treatment outcomes. Recent
research has focused mostly on EMG levels during prone trunk extension (PTE) exercises and four-point
kneeling contralateral arm and leg lift (FPKAL) exercises. These recent
studies however have not focused on the selective activation of LM muscles
during lower back pain treatment exercises.
Jun-Seok Kim, Min-Hyeok
Kang, Jun-Hyeok Jang, and Jae-Seop Oh thus sought to study
exactly that so as to provide an experimental study that established the
efficacy of the exercises as therapeutic treatment. The researchers gathered a
group of twenty healthy individuals without lower back pain who had not participated in lumbar strengthening or
stabilization exercises during
the previous six
months. Surface EMG data was
collected from the volunteers using a BIOPAC MP150 data acquisition and
analysis system as they performed the various exercises. The study found that selective
activation was higher during the FPKAL exercise than PTE, thus showing it is
the better and more effective way to treat lower back pain. While the
experiment provides good data for evaluating therapeutic exercises, future
evaluation in an actual physical therapy setting would prove
beneficial.
BIOPAC’s wireless BioNomadix Logger allows this type of
research to continue outside the laboratory. Subjects
who suffer lower back pain, for example, could wear the BIOPAC logging device when they are
performing PTE or FPKAL at home or during a therapeutic session.
The BioNomadix Logger’s portable
size and 24 hour data logging capability makes this type of surface EMG
recording outside the lab incredibly easy and would provide more insightful
evidence into effects of different therapeutic exercises.
